2,475 Demand Forecasting jobs in India

Data Science - Demand Forecasting

Bengaluru, Karnataka o9 Solutions, Inc.

Posted 4 days ago

Job Viewed

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Job Description

At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises’ siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn’t stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too.


We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we’ll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planet


What you’ll do for us:


  • Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks
  • Develop and/or optimize models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc.
  • Use latest advancements in AI/ML to solve business problems
  • Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons
  • Application of common business metrics (Forecast Accuracy, Bias, MAPE) and the ability to generate new ones as needed.
  • Develop or optimize modules to call web services for real time integration with externa systems
  • Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects


What you’ll have:

  • Experience: 4+ Years of experience in time series forecasting in scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning.
  • Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc.
  • Should be from a statistical background.
  • Education: Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field
  • Languages: Python and/or R for Data Science
  • Skills: Deep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing.
  • Characteristics: Independent thinkers Strong presentation and communications skills
  • We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function.


Nice to have:

  • Experience with SQL, databases and ETL tools or similar is optional but preferred
  • Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies
  • Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable
  • Experience in implementing planning applications will be a plus
  • Understanding of Supply Chain Concepts will be preferable
  • Masters Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field


What we’ll do for you

  • Competitive salary with stock options to eligible candidates
  • Flat organization: With a very strong entrepreneurial culture (and no corporate politics)
  • Great people and unlimited fun at work
  • Possibility to make a difference in a scale-up environment.
  • Opportunity to travel onsite in specific phases depending on project requirements.
  • Support network: Work with a team you can learn from everyday.
  • Diversity: We pride ourselves on our international working environment.
  • Work-Life Balance:
  • Feel part of A team:


How the process works

  • Apply by clicking the button below
  • You’ll be contacted by our recruiter, who’ll fill you in on all things at o9, give you some background about the role and get to know you. They’ll contact you either via video call or phone call - whatever you prefer.
  • During the interview phase, you will meet with technical panels for 60 minutes. The recruiter will contact you after the interview to let you know if we’d like to progress your application.
  • We will have 2 rounds of Technical discussion followed by a Hiring Manager discussion.
  • Our recruiter will let you know if you’re the successful candidate. Good luck!


More about us

With the latest increase in our valuation from $2.7B to $3.7B despite challenging global macroeconomic conditions, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do.


Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others.


Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore and Munich.


o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law

This advertiser has chosen not to accept applicants from your region.

Data Science - Demand Forecasting

Bengaluru, Karnataka o9 Solutions, Inc.

Posted today

Job Viewed

Tap Again To Close

Job Description

At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises’ siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn’t stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too.

We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we’ll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planet

What you’ll do for us:

  • Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks
  • Develop and/or optimize models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc.
  • Use latest advancements in AI/ML to solve business problems
  • Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons
  • Application of common business metrics (Forecast Accuracy, Bias, MAPE) and the ability to generate new ones as needed.
  • Develop or optimize modules to call web services for real time integration with externa systems
  • Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects

What you’ll have:

  • Experience: 4+ Years of experience in time series forecasting in scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning.
  • Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc.
  • Should be from a statistical background.
  • Education: Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field
  • Languages: Python and/or R for Data Science
  • Skills: Deep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing.
  • Characteristics: Independent thinkers Strong presentation and communications skills
  • We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function.

Nice to have:

  • Experience with SQL, databases and ETL tools or similar is optional but preferred
  • Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies
  • Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable
  • Experience in implementing planning applications will be a plus
  • Understanding of Supply Chain Concepts will be preferable
  • Masters Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field

What we’ll do for you

  • Competitive salary with stock options to eligible candidates
  • Flat organization: With a very strong entrepreneurial culture (and no corporate politics)
  • Great people and unlimited fun at work
  • Possibility to make a difference in a scale-up environment.
  • Opportunity to travel onsite in specific phases depending on project requirements.
  • Support network: Work with a team you can learn from everyday.
  • Diversity: We pride ourselves on our international working environment.
  • Work-Life Balance:
  • Feel part of A team:

How the process works

  • Apply by clicking the button below
  • You’ll be contacted by our recruiter, who’ll fill you in on all things at o9, give you some background about the role and get to know you. They’ll contact you either via video call or phone call - whatever you prefer.
  • During the interview phase, you will meet with technical panels for 60 minutes. The recruiter will contact you after the interview to let you know if we’d like to progress your application.
  • We will have 2 rounds of Technical discussion followed by a Hiring Manager discussion.
  • Our recruiter will let you know if you’re the successful candidate. Good luck!

More about us.

With the latest increase in our valuation from $2.7B to $3.7B despite challenging global macroeconomic conditions, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do.

Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others.

Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore and Munich.

o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law

This advertiser has chosen not to accept applicants from your region.

Data science - demand forecasting

Bengaluru, Karnataka O9 Solutions, Inc.

Posted today

Job Viewed

Tap Again To Close

Job Description

At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises’ siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn’t stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too.We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we’ll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planetWhat you’ll do for us:Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacksDevelop and/or optimize models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc.Use latest advancements in AI/ML to solve business problemsAnalyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasonsApplication of common business metrics (Forecast Accuracy, Bias, MAPE) and the ability to generate new ones as needed.Develop or optimize modules to call web services for real time integration with externa systemsWork collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projectsWhat you’ll have:Experience: 4+ Years of experience in time series forecasting in scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning.Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc.Should be from a statistical background.Education: Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related fieldLanguages: Python and/or R for Data ScienceSkills: Deep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing.Characteristics: Independent thinkers Strong presentation and communications skillsWe really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function.Nice to have:Experience with SQL, databases and ETL tools or similar is optional but preferredExposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologiesExperience with Deep Learning frameworks such as Keras, Tensorflow or Py Torch is preferableExperience in implementing planning applications will be a plusUnderstanding of Supply Chain Concepts will be preferableMasters Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related fieldWhat we’ll do for you Competitive salary with stock options to eligible candidatesFlat organization: With a very strong entrepreneurial culture (and no corporate politics)Great people and unlimited fun at workPossibility to make a difference in a scale-up environment.Opportunity to travel onsite in specific phases depending on project requirements.Support network: Work with a team you can learn from everyday.Diversity: We pride ourselves on our international working environment.Work-Life Balance: UPATBA?feature=sharedFeel part of A team: Cyhes?feature=sharedHow the process worksApply by clicking the button belowYou’ll be contacted by our recruiter, who’ll fill you in on all things at o9, give you some background about the role and get to know you. They’ll contact you either via video call or phone call - whatever you prefer.During the interview phase, you will meet with technical panels for 60 minutes. The recruiter will contact you after the interview to let you know if we’d like to progress your application.We will have 2 rounds of Technical discussion followed by a Hiring Manager discussion.Our recruiter will let you know if you’re the successful candidate. Good luck!More about us.With the latest increase in our valuation from $2.7 B to $3.7 B despite challenging global macroeconomic conditions, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do.Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABIn Bev, Starbucks and many others.Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore and Munich.o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law

This advertiser has chosen not to accept applicants from your region.

Data Science - Demand Forecasting

Bengaluru, Karnataka o9 Solutions, Inc.

Posted 4 days ago

Job Viewed

Tap Again To Close

Job Description

At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises’ siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn’t stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too.

We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we’ll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the plane t

What you’ll do for us:

Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks
Develop and/or optimize models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc.
Use latest advancements in AI/ML to solve business problems
Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons
Application of common business metrics (Forecast Accuracy, Bias, MAPE) and the ability to generate new ones as needed.
Develop or optimize modules to call web services for real time integration with externa systems
Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects

What you’ll have:
Experience: 4+ Years of experience in time series forecasting in scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning.
Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc.
Should be from a statistical background.
Education: Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field
Languages: Python and/or R for Data Science
Skills: Deep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing.
Characteristics: Independent thinkers Strong presentation and communications skills
We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function.

Nice to have:
Experience with SQL, databases and ETL tools or similar is optional but preferred
Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies
Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable
Experience in implementing planning applications will be a plus
Understanding of Supply Chain Concepts will be preferable
Masters Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field

What we’ll do for you
Competitive salary with stock options to eligible candidates
Flat organization: With a very strong entrepreneurial culture (and no corporate politics)
Great people and unlimited fun at work
Possibility to make a difference in a scale-up environment.
Opportunity to travel onsite in specific phases depending on project requirements.
Support network: Work with a team you can learn from everyday.
Diversity: We pride ourselves on our international working environment.
Work-Life Balance: part of A team: the process works
Apply by clicking the button below
You’ll be contacted by our recruiter, who’ll fill you in on all things at o9, give you some background about the role and get to know you. They’ll contact you either via video call or phone call - whatever you prefer.
During the interview phase, you will meet with technical panels for 60 minutes. The recruiter will contact you after the interview to let you know if we’d like to progress your application.
We will have 2 rounds of Technical discussion followed by a Hiring Manager discussion.
Our recruiter will let you know if you’re the successful candidate. Good luck!

More about us …
With the latest increase in our valuation from $2.7B to $3.7B despite challenging global macroeconomic conditions, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do.

Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others.

Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore an d Munich.

o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law
This advertiser has chosen not to accept applicants from your region.

Data Science - Demand Forecasting

Bengaluru, Karnataka o9 Solutions, Inc.

Posted today

Job Viewed

Tap Again To Close

Job Description

At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises’ siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn’t stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too.


We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we’ll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planet


What you’ll do for us:


  • Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks
  • Develop and/or optimize models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc.
  • Use latest advancements in AI/ML to solve business problems
  • Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons
  • Application of common business metrics (Forecast Accuracy, Bias, MAPE) and the ability to generate new ones as needed.
  • Develop or optimize modules to call web services for real time integration with externa systems
  • Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects


What you’ll have:

  • Experience: 4+ Years of experience in time series forecasting in scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning.
  • Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc.
  • Should be from a statistical background.
  • Education: Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field
  • Languages: Python and/or R for Data Science
  • Skills: Deep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing.
  • Characteristics: Independent thinkers Strong presentation and communications skills
  • We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function.


Nice to have:

  • Experience with SQL, databases and ETL tools or similar is optional but preferred
  • Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies
  • Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable
  • Experience in implementing planning applications will be a plus
  • Understanding of Supply Chain Concepts will be preferable
  • Masters Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field


What we’ll do for you

  • Competitive salary with stock options to eligible candidates
  • Flat organization: With a very strong entrepreneurial culture (and no corporate politics)
  • Great people and unlimited fun at work
  • Possibility to make a difference in a scale-up environment.
  • Opportunity to travel onsite in specific phases depending on project requirements.
  • Support network: Work with a team you can learn from everyday.
  • Diversity: We pride ourselves on our international working environment.
  • Work-Life Balance:
  • Feel part of A team:


How the process works

  • Apply by clicking the button below
  • You’ll be contacted by our recruiter, who’ll fill you in on all things at o9, give you some background about the role and get to know you. They’ll contact you either via video call or phone call - whatever you prefer.
  • During the interview phase, you will meet with technical panels for 60 minutes. The recruiter will contact you after the interview to let you know if we’d like to progress your application.
  • We will have 2 rounds of Technical discussion followed by a Hiring Manager discussion.
  • Our recruiter will let you know if you’re the successful candidate. Good luck!


More about us

With the latest increase in our valuation from $2.7B to $3.7B despite challenging global macroeconomic conditions, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do.


Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others.


Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore and Munich.


o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law

This advertiser has chosen not to accept applicants from your region.

Data Science - Demand Forecasting

Bengaluru, Karnataka Confidential

Posted today

Job Viewed

Tap Again To Close

Job Description

At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises' siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn't stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too.

We&aposre on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we'll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planet

What you'll do for us:

  • Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks
  • Develop and/or optimize models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc.
  • Use latest advancements in AI/ML to solve business problems
  • Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons
  • Application of common business metrics (Forecast Accuracy, Bias, MAPE) and the ability to generate new ones as needed.
  • Develop or optimize modules to call web services for real time integration with externa systems
  • Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects

What you'll have:

  • Experience: 4+ Years of experience in time series forecasting in scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning.
  • Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc.
  • Should be from a statistical background.
  • Education: Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field
  • Languages: Python and/or R for Data Science
  • Skills: Deep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing.
  • Characteristics: Independent thinkers Strong presentation and communications skills
  • We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function.

Nice to have:

  • Experience with SQL, databases and ETL tools or similar is optional but preferred
  • Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies
  • Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable
  • Experience in implementing planning applications will be a plus
  • Understanding of Supply Chain Concepts will be preferable
  • Masters Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field

What we'll do for you

  • Competitive salary with stock options to eligible candidates
  • Flat organization: With a very strong entrepreneurial culture (and no corporate politics)
  • Great people and unlimited fun at work
  • Possibility to make a difference in a scale-up environment.
  • Opportunity to travel onsite in specific phases depending on project requirements.
  • Support network: Work with a team you can learn from everyday.
  • Diversity: We pride ourselves on our international working environment.
  • Work-Life Balance:
  • Feel part of A team:

How the process works

  • Apply by clicking the button below
  • You'll be contacted by our recruiter, who'll fill you in on all things at o9, give you some background about the role and get to know you. They'll contact you either via video call or phone call - whatever you prefer.
  • During the interview phase, you will meet with technical panels for 60 minutes. The recruiter will contact you after the interview to let you know if we'd like to progress your application.
  • We will have 2 rounds of Technical discussion followed by a Hiring Manager discussion.
  • Our recruiter will let you know if you're the successful candidate. Good luck!

More about us

With the latest increase in our valuation from $2.7B to $3.7B despite challenging global macroeconomic conditions, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do.

Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others.

Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore and Munich.

o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law


Skills Required
Machine Learning, Etl Tools, Hadoop, Market Intelligence, Sql, Tensorflow, anomaly detection, Hive, Pytorch, Map Reduce, Spark, GA, Keras, Gurobi, Python
This advertiser has chosen not to accept applicants from your region.

Data Science - Demand Forecasting

Bangalore, Karnataka o9 Solutions, Inc.

Posted 1 day ago

Job Viewed

Tap Again To Close

Job Description

At o9 Solutions, our mission is clear: be the Most Valuable Platform (MVP) for enterprises. With our AI-driven platform — the o9 Digital Brain — we integrate global enterprises’ siloed planning capabilities, helping them capture millions and, in some cases, billions of dollars in value leakage. But our impact doesn’t stop there. Businesses that plan better and faster also reduce waste, which drives better outcomes for the planet, too.


We're on the lookout for the brightest, most committed individuals to join us on our mission. Along the journey, we’ll provide you with a nurturing environment where you can be part of something truly extraordinary and make a real difference for companies and the planet


What you’ll do for us:


  • Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world advantages/drawbacks
  • Develop and/or optimize models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc.
  • Use latest advancements in AI/ML to solve business problems
  • Analyze problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons
  • Application of common business metrics (Forecast Accuracy, Bias, MAPE) and the ability to generate new ones as needed.
  • Develop or optimize modules to call web services for real time integration with externa systems
  • Work collaboratively with Clients, Project Management, Solution Architects, Consultants and Data Engineers to ensure successful delivery of o9 projects


What you’ll have:

  • Experience: 4+ Years of experience in time series forecasting in scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning.
  • Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc.
  • Should be from a statistical background.
  • Education: Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field
  • Languages: Python and/or R for Data Science
  • Skills: Deep Knowledge of statistical and machine learning algorithms, building scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing.
  • Characteristics: Independent thinkers Strong presentation and communications skills
  • We really value team spirit: Transparency and frequent communication is key. At o9, this is not limited by hierarchy, distance, or function.


Nice to have:

  • Experience with SQL, databases and ETL tools or similar is optional but preferred
  • Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or related Big Data technologies
  • Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable
  • Experience in implementing planning applications will be a plus
  • Understanding of Supply Chain Concepts will be preferable
  • Masters Degree in Computer Science, Applied Mathematics, Statistics, Engineering, Business Analytics, Operations, or related field


What we’ll do for you

  • Competitive salary with stock options to eligible candidates
  • Flat organization: With a very strong entrepreneurial culture (and no corporate politics)
  • Great people and unlimited fun at work
  • Possibility to make a difference in a scale-up environment.
  • Opportunity to travel onsite in specific phases depending on project requirements.
  • Support network: Work with a team you can learn from everyday.
  • Diversity: We pride ourselves on our international working environment.
  • Work-Life Balance:
  • Feel part of A team:


How the process works

  • Apply by clicking the button below
  • You’ll be contacted by our recruiter, who’ll fill you in on all things at o9, give you some background about the role and get to know you. They’ll contact you either via video call or phone call - whatever you prefer.
  • During the interview phase, you will meet with technical panels for 60 minutes. The recruiter will contact you after the interview to let you know if we’d like to progress your application.
  • We will have 2 rounds of Technical discussion followed by a Hiring Manager discussion.
  • Our recruiter will let you know if you’re the successful candidate. Good luck!


More about us

With the latest increase in our valuation from $2.7B to $3.7B despite challenging global macroeconomic conditions, o9 Solutions is one of the fastest-growing technology companies in the world today. Our mission is to digitally transform planning and decision-making for the enterprise and the planet. Our culture is high-energy and drives us to aim 10x in everything we do.


Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others.


Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore and Munich.


o9 is an equal opportunity employer and seeks applicants of diverse backgrounds and hires without regard to race, colour, gender, religion, national origin, citizenship, age, sexual orientation or any other characteristic protected by law

This advertiser has chosen not to accept applicants from your region.
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Principal Data Scientist (Demand Forecasting)

Bengaluru, Karnataka Texas Instruments

Posted 2 days ago

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Job Description

**Change the world. Love your job.**
Texas Instruments is seeking experienced Data Scientist to join our team. As the Data Scientist in TI's Demand Analytics team, you will play a pivotal role in shaping and executing our demand planning and inventory buffer strategies for the company. You will be working side by side with a team of highly technical professionals that will consists of application developers, system architects, data scientists and data engineers. This role will be responsible for solving complex business problems through innovative solutions that deliver tangible business value. This position requires a technical leader with a strong technical background in AI/ML, simulation solutions, strategic thinking, and a passion for innovation through data. This team is responsible for: portfolio management for demand forecasting algorithms, generation of inventory buffer targets, segmentation of TI's products and simulation/validation frameworks, defining specs/reference architectures to best achieve business outcomes and ensuring security and interoperability between capabilities.
Roles and duties:
+ Stakeholder engagement:
+ Work collaboratively and strategically with stakeholder groups to achieve TI business strategy and goals
+ Communicate complex technical concepts and influence final business outcomes with stakeholders effectively
+ Partner with cross-functional teams to identify and prioritize actionable, high-impact insights across a variety of core business areas
+ Technology and platforms:
+ Build simple, scalable and modular technology stacks using modern technologies and software engineering principles.
+ Simulate real world scenarios with various models and approaches to determine best fit of algorithms by varying the inputs across hundreds to thousands of variables
+ Research, experiment and implement new approaches and models that flex with the business strategy transformations
+ Leads data acquisition and engineering efforts
+ Develops and applies machine learning, AI and data engineering framework
+ Solutions, writes and debugs code for complex development projects
+ Oversees, evaluates and determines the best modeling techniques for various scenarios letting the data drive the conversation
**Why TI?**
+ Engineer your future. We empower our employees to truly own their career and development. Come collaborate with some of the smartest people in the world to shape the future of electronics.
+ We're different by design. Diverse backgrounds and perspectives are what push innovation forward and what make TI stronger. We value each and every voice, and look forward to hearing yours. Meet the people of TI ( Benefits that benefit you. We offer competitive pay and benefits designed to help you and your family live your best life. Your well-being is important to us.
**About Texas Instruments**
Texas Instruments Incorporated (Nasdaq: TXN) is a global semiconductor company that designs, manufactures and sells analog and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems. At our core, we have a passion to create a better world by making electronics more affordable through semiconductors. This passion is alive today as each generation of innovation builds upon the last to make our technology more reliable, more affordable and lower power, making it possible for semiconductors to go into electronics everywhere. Learn more at TI.com .
Texas Instruments is an equal opportunity employer and supports a diverse, inclusive work environment.
If you are interested in this position, please apply to this requisition.
**Minimum requirements:**
+ MS or PhD in a quantitative field (e.g., Computer Science, Statistics, Engineering, Mathematics) or equivalent practical experience.
+ 8+ years of professional experience in data science or a related role.
+ 5+ years of hands-on experience developing and deploying time series forecasting models in a professional setting.
+ Demonstrated experience in the supply chain domain (e.g., Semiconductor, Retail, CPG, Pharmaceutical), with a deep understanding of concepts like demand forecasting, S&OP, or inventory management.
+ Expert-level proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn, Statsmodels) and forecasting packages (e.g., Prophet, PyTorch Forecasting).
+ Proven experience taking machine learning models from prototype to production, including knowledge of CI/CD and model monitoring.
**Preferred qualifications:**
+ Experience with MLOps tools and platforms (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes).
+ Practical experience with cloud data science platforms (e.g., AWS SageMaker, Azure ML, Google AI Platform).
+ Familiarity with advanced forecasting techniques such as probabilistic forecasting, causal inference, or using Transformers for time series.
+ Experience applying NLP to extract features from unstructured text to enhance forecasting models.
+ Strong SQL skills and experience working with large-scale data warehousing solutions (e.g., Snowflake, BigQuery, Redshift).
**ECL/GTC Required:** Yes
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Lead Data Scientist - Demand Forecasting

Bengaluru, Karnataka Confidential

Posted today

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Job Description

What you ll do for us:

  • Own End to end discovery, design, configuration, testing and deployment of analytical models and communication with internal and external stakeholders
  • Identify relevant internal and external data sources. Recommend and oversee appropriate statistical, ML and predictive modeling concepts
  • Apply a variety of machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-worldproblems
  • Develop and/or optimize models for demand sensing/forecasting, optimization(Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc.
  • Use latest advancements in AI/ML to solve business problems
  • Examine problems by synthesizing complex information, evaluating alternate methods, and articulating the result with the relevant assumptions/reasons
  • Application of common business metrics (Forecast Accuracy, Bias, MAPE) and the ability to generate new ones as needed.
  • Develop or optimize modules to call web services for real time integration with external systems
  • Work collaboratively with Clients, Project Management, Solution Architects,
  • Consultants and Data Engineers to ensure successful delivery of o9 projects

What you ll have:

  • Experience: 7+ Years. Experience in time series forecasting in scale using
  • heuristic-based hierarchical best-fit models using algorithms like exponential
  • smoothing, ARIMA, prophet and custom parameter tuning.
  • Experience in applied analytical methods in the field of Supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc.

Education : Bachelors Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field

Languages: Python and/or R for Data Science, SQL

Skills : Deep Knowledge of statistical and machine learning algorithms, builng scalable ML frameworks, identifying and collecting relevant input data, feature engineering, tuning, and testing.

Characteristics : Strong presentation and communications skills

What we ll do for you:

  • Competitive salary
  • Tech tools: Complementary PC laptop.
  • Flexibility: Work from home two days a week. Get up a bit later, skip the commute and put the time back into your deadlines.
  • Get social: When we work from home, we play from home with fun after-work
  • activities like Social Fridays. If you re in the office, feel free to join these events in person.
  • Flat organization: With a very strong entrepreneurial culture (and no corporate
  • politics).
  • Support network: Work with a team you can learn from and every day.
  • Diversity: We pride ourselves on our international working environment.

Skills Required
Forecasting, Machine Learning, Arima, Time Series Analysis, supply chain planning , Python, Sql, Data Science
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Demand and Capacity Forecasting Manager

Chennai, Tamil Nadu Confidential

Posted today

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Job Description

The Demand and Capacity Forecasting Manager is responsible for developing and maintaining accurate demand/supply/capacity forecasts using data-driven methodologies.

This role involves analysing historical data, market trends, and business insights to optimize and improve forecast accuracy, workforce planning, and operational efficiency. The ideal candidate must have strong forecasting experience, analytical skills, experience in building predictive model, scenario planning and the ability to collaborate across departments to drive strategic decision-making.

  • Forecast Development: Build and refine demand forecasting models using statistical methods and business intelligence tools.
  • Data Analysis: Analyse historical trends, seasonality, market dynamics, micro and macro factors to improve forecast accuracy.
  • Performance Monitoring: Track forecast accuracy, identify gaps, and continuously refine methodologies and assumptions to enhance reliability.
  • Collaboration: Work with internal stakeholders, finance, operations, recruitment and commercial teams to align forecasts with business goals.
  • Scenario Planning: Conduct 'what-if' analyses to assess the impact of internal and/or external factors
  • Automation & Technology: Work closely with Senior Data Analysts to implement AI-driven forecasting solutions, machine learning and integrate new tools for predictive analytics.
  • Reporting & Communication: Present insights and recommendations to senior leadership, ensuring alignment with strategic objectives.
  • Risk Mitigation: Identify potential demand fluctuations and develop contingency plans

Must have strong, 5+ years' experience in demand forecasting, workforce planning preferably in a global organization.

Expertise in scenario planning

Advanced Excel and MS O365

Strong problem-solving and strategic thinking abilities.

Excellent communication skills with the ability to translate complex data into actionable insights.

Ability to work cross-functionally in a fast-paced environment.


Skills Required
Forecasting, Demand Planning, Workforce Planning, scenario planning, Data Analysis, Performance Monitoring
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