Lead Data Scientist

Mumbai, Maharashtra Sourcebae

Posted 1 day ago

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Job Description

Job Description: Lead Data Scientist – AI Division

Locations: Mumbai, Maharashtra, India


Skill Set: Aiml, Artificial Intelligence, Machine Learning, Python, Deep Learning, LLM

Experience: 5 to 7 Years

Responsibilities:

 Provide data science and AI expertise to design, build, and deliver scalable ML and deep

learning solutions.

Work extensively with tabular data to develop predictive models, perform feature

engineering, and optimize performance for real-world applications.

pply conventional machine learning techniques (e.g., regression, classification,

ensemble methods) alongside advanced deep learning methods.

uild and optimize deep learning models for structured and unstructured data, including

text and audio.

ead development of solutions for audio data, including classification, recognition, and

signal processing tasks.

esign, fine-tune, and deploy LLMs (Large Language Models), SLMs (Small

Language Models), and other Generative AI solutions for diverse business

applications.

ranslate business problems into well-structured ML/AI problems and deliver actionable

insights.

eploy production-grade models with a focus on efficiency, scalability, and

maintainability.

ollaborate with cross-functional teams including product managers, engineers, and

domain experts to deliver high-impact projects.

entor junior data scientists and interns, fostering innovation and best practices.


Qualification Requirements:

Educational:

achelor’s degree with at least 7 years of experience or Master’s with at least 4 years of

experience in Data Science/ML/AI.

 Pr rred to have degree from a Tier-1/2 institute (IIT/IISc/NITs if studied in India) or a

globally top-ranked university (as per QS).

Technical:


roven expertise working with large-scale tabular data and building machine learning

models.

trong knowledge of conventional ML algorithms (tree-based models, SVMs,

clustering, etc.).

ands-on experience with deep learning frameworks such as TensorFlow / PyTorch.

andatory expertise in LLMs, SLMs, and Generative AI, including fine-tuning,

prompt engineering, and deployment.

roficiency in Python and libraries such as scikit-learn, pandas, NumPy.

xposure to model deployment frameworks and tools (ONNX, Triton, TensorRT,

FastAPI, etc.).

amiliarity with cloud platforms (Azure/GCP) for training and deploying ML solutions.

xperience with Databricks is a plus.

trong understanding of MLOps practices, reproducibility, and model monitoring.

Other:

xcellent written and verbal communication skills in English.

emonstrated experience working collaboratively in cross-functional teams.

bility to balance research and production priorities while meeting deadlines.

assionate about applying AI/ML to solve diverse real-world problems, especially at the

intersection of GenAI and enterprise AI adoption.


If Intrested. Please submit your CV to or share it via WhatsApp at

Stay updated with our latest job opportunities and company news by following us on LinkedIn: :

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Lead Data Scientist

Mumbai, Maharashtra ₹4500000 - ₹9000000 Y HERE Technologies

Posted today

Job Viewed

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Job Description

HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.

At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.

The Lead Data Scientist in this team would have to be passionate about innovating and developing machine learning and data analytics solutions to build our industry-leading map. We provide the opportunity to collaborate with an energetic and dedicated team that works on cutting-edge technology to create tools and services. The candidate will work with researchers, developers, architects, IT to develop, deploy, and maintain applications in multiple environments.

Responsibilities:

  • Help design and build the next iteration of process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making.
  • Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-maping data decisions and system control needs.
  • Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling.
  • Function as a predictive modeling or application team lead on Core Map projects.

Requirements:

  • • MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization.
  • • Minimum of 7+ years related professional experience.
  • • Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. Should have expert-level knowledge in one or more of these areas.
  • • Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms.
  • • Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc.
  • • Programming experience with SQL, shell script, Python, etc.
  • • Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis.
  • • Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques.
  • • Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions.

Preferred Qualifications:

  • • Development experience with and Scala
  • • Development experience with Docker
  • • Development experience with GIS data
  • • Development experience with NoSQL (i.e. DynamoDB)
This advertiser has chosen not to accept applicants from your region.

Lead Data Scientist

Mumbai, Maharashtra ₹1200000 - ₹3600000 Y HERE Technologies

Posted today

Job Viewed

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Job Description

What's the role?
At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.

The Lead Data Scientist in this team would have to be passionate about innovating and developing machine learning and data analytics solutions to build our industry-leading map. We provide the opportunity to collaborate with an energetic and dedicated team that works on cutting-edge technology to create tools and services. The candidate will work with researchers, developers, architects, IT to develop, deploy, and maintain applications in multiple environments.

Responsibilities

  • Help design and build the next iteration of process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making.
  • Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-making data decisions and system control needs.
  • Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling.
  • Function as a predictive modeling or application team lead on Core Map projects.

Who are you?

  • MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization.
  • Minimum of 8+ years related professional experience.
  • Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. Should have expert-level knowledge in one or more of these areas.
  • Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms.
  • Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc.
  • Programming experience with SQL, shell script, Python, etc.
  • Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis.
  • Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques.
  • Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions.

Preferred Qualifications

  • Development experience with and Scala
  • Development experience with Docker
  • Development experience with GIS data
  • Development experience with NoSQL (i.e. DynamoDB)

What You'll Get

  • Challenging problems to solve
  • Opportunities to learn cool new things
  • Work that makes a difference in the world
  • Freedom to decide how to perform your work
  • Variety in the types of projects
  • Feedback so you will know how well you are doing
  • Collaborative, Supportive Colleagues

Who are we?
HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.

At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us. Watch Video

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

Lead Data Scientist

Mumbai, Maharashtra ₹150000 - ₹200000 Y HERE Technologies

Posted today

Job Viewed

Tap Again To Close

Job Description

What's the role?
HERE is searching for a Lead Data Scientist for our Foundation Engineering Development Group. You will be part of an engineering team that works closely with Data Scientists to develop Data extraction, Data visualization, Data labelling and Data validation software with a focus on continuous delivery. In this team, you will have opportunity to work on full stack development technologies and is an excellent opportunity to work with an energetic and dedicated team of software engineers and computer vision/machine learning experts on highly visible, technology-driven problems with a direct connection to the success of the company.

The Lead Data Scientist in this team would have to be passionate about innovating and developing machine learning and data analytics solutions to build our industry-leading map. We provide the opportunity to collaborate with an energetic and dedicated team that works on cutting-edge technology to create tools and services. The candidate will work with researchers, developers, architects, IT to develop, deploy, and maintain applications in multiple environments.

What You'll Get

  • Challenging problems to solve
  • Opportunities to learn cool new things
  • Work that makes a difference in the world
  • Freedom to decide how to perform your work
  • Variety in the types of projects
  • Feedback so you will know how well you are doing
  • Collaborative, Supportive Colleagues

Responsibilities

  • Help design and build the next iteration of process automation in HERE Core Map processes employing a highly scalable Big Data infrastructure and machine learning as applied to global-scale digital map-making.
  • Build and test analytic and statistical models to improve a wide variety of both internal data-driven processes for map-maing data decisions and system control needs.
  • Act as an expert and evangelist in areas of data mining, machine learning, statistics, and predictive analysis and modeling.
  • Function as a predictive modeling or application team lead on Core Map projects.

Who are you?
Requirements

  • MS or PhD in a discipline such as Statistics, Applied Mathematics, Computer Science, or Econometrics with an emphasis or thesis work on one or more of the following: computational statistics/science/engineering, data mining, machine learning, and optimization.
  • Minimum of 8+ years related professional experience.
  • Knowledge of data mining and analytic methods such as regression, classifiers, clustering, association rules, decision trees, Bayesian network analysis, etc. Should have expert-level knowledge in one or more of these areas.
  • Knowledge of Computer Vision, Deep Learning and Point Cloud Processing algorithms.
  • Proficiency with a statistical analysis package and associated scripting language such as Python, R, Matlab, SAS, etc.
  • Programming experience with SQL, shell script, Python, etc.
  • Knowledge of and ideally some experience with tools such as Pig, Hive, etc., for working with big data in Hadoop and/or Spark for data extraction and data prep for analysis.
  • Experience with and demonstrated capability to effectively interact with both internal and external customer executives, technical and non-technical to explain uses and value of predictive systems and techniques.
  • Demonstrated proficiency with understanding, specifying and explaining predictive modeling solutions and organizing teams of other data scientists and engineers to execute projects delivering those solutions.

Preferred Qualifications

  • Development experience with and Scala
  • Development experience with Docker
  • Development experience with GIS data
  • Development experience with NoSQL (i.e. DynamoDB)

Who are we?
HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes – from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely.

At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.

In this role you be part of the Content Automation group. You will work alongside high energy, innovative teams leveraging cutting edge technology to identify new technologies, processes, and sources to build the best-in-class high definition map used in autonomous driving. You will be enabling one of the largest technological and cultural shifts in the modern world, creating enhanced road safety, reduced congestion, lower emissions, and expanded mobility, paving the way for a more efficient and sustainable transportation future.

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

Lead Data Scientist

400601 Thane, Maharashtra ₹2200000 Annually WhatJobs

Posted 4 days ago

Job Viewed

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Job Description

full-time
Our client, a rapidly growing technology company, is looking for a brilliant Lead Data Scientist to join their fully remote team. This is a critical role for driving data-informed decision-making and developing advanced analytical models that power our client's products and services. You will lead a team of talented data scientists, guiding them in the exploration, analysis, and interpretation of large, complex datasets. The ideal candidate will possess a strong foundation in statistics, machine learning, and data mining, coupled with significant experience in building and deploying predictive models. Key responsibilities include defining data science strategies, designing experiments, developing algorithms, and communicating complex findings to both technical and non-technical audiences. You will be involved in the entire data science lifecycle, from data acquisition and preprocessing to model evaluation and deployment. Proficiency in programming languages such as Python or R, and experience with big data technologies (e.g., Spark, Hadoop) and machine learning frameworks (e.g., TensorFlow, PyTorch) are essential. This fully remote position requires excellent communication, collaboration, and leadership skills, with the ability to mentor junior team members and drive projects to successful completion. You will work closely with engineering, product management, and business teams to identify opportunities for leveraging data to solve challenging problems and drive business growth. This is an exceptional opportunity to make a significant impact on a company at the forefront of innovation. We are seeking a highly analytical, creative, and results-oriented individual who can translate complex data into actionable insights. The ability to stay current with the latest advancements in data science and AI is crucial. You will be a key driver of our client's data strategy and a leader in advancing their analytical capabilities. The fully remote setup offers maximum flexibility while demanding exceptional self-management and proactive engagement. This role is perfect for a visionary data leader who thrives in a fast-paced, collaborative environment.
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Lead Data Scientist

Mumbai, Maharashtra Sourcebae

Posted 1 day ago

Job Viewed

Tap Again To Close

Job Description

Job Description: Lead Data Scientist – AI Division
Locations: Mumbai, Maharashtra, India

Skill Set: Aiml, Artificial Intelligence, Machine Learning, Python, Deep Learning, LLM
Experience: 5 to 7 Years
Responsibilities:
Provide data science and AI expertise to design, build, and deliver scalable ML and deep
learning solutions.
Work extensively with tabular data to develop predictive models, perform feature
engineering, and optimize performance for real-world applications.
Apply conventional machine learning techniques (e.g., regression, classification,
ensemble methods) alongside advanced deep learning methods.
Build and optimize deep learning models for structured and unstructured data, including
text and audio.
Lead development of solutions for audio data, including classification, recognition, and
signal processing tasks.
Design, fine-tune, and deploy LLMs (Large Language Models), SLMs (Small
Language Models), and other Generative AI solutions for diverse business
applications.
Translate business problems into well-structured ML/AI problems and deliver actionable
insights.
Deploy production-grade models with a focus on efficiency, scalability, and
maintainability.
Collaborate with cross-functional teams including product managers, engineers, and
domain experts to deliver high-impact projects.
Mentor junior data scientists and interns, fostering innovation and best practices.

Qualification Requirements:
Educational:
Bachelor’s degree with at least 7 years of experience or Master’s with at least 4 years of
experience in Data Science/ML/AI.
Preferred to have degree from a Tier-1/2 institute (IIT/IISc/NITs if studied in India) or a
globally top-ranked university (as per QS).
Technical:

Proven expertise working with large-scale tabular data and building machine learning
models.
Strong knowledge of conventional ML algorithms (tree-based models, SVMs,
clustering, etc.).
Hands-on experience with deep learning frameworks such as TensorFlow / PyTorch.
Mandatory expertise in LLMs, SLMs, and Generative AI, including fine-tuning,
prompt engineering, and deployment.
Proficiency in Python and libraries such as scikit-learn, pandas, NumPy.
Exposure to model deployment frameworks and tools (ONNX, Triton, TensorRT,
FastAPI, etc.).
Familiarity with cloud platforms (Azure/GCP) for training and deploying ML solutions.
Experience with Databricks is a plus.
Strong understanding of MLOps practices, reproducibility, and model monitoring.
Other:
Excellent written and verbal communication skills in English.
Demonstrated experience working collaboratively in cross-functional teams.
Ability to balance research and production priorities while meeting deadlines.
Passionate about applying AI/ML to solve diverse real-world problems, especially at the
intersection of GenAI and enterprise AI adoption.

If Intrested. Please submit your CV to or share it via WhatsApp at
Stay updated with our latest job opportunities and company news by following us on LinkedIn: :
This advertiser has chosen not to accept applicants from your region.

Lead Data Scientist

Mumbai, Maharashtra Sourcebae

Posted today

Job Viewed

Tap Again To Close

Job Description

Job Description: Lead Data Scientist – AI Division

Locations: Mumbai, Maharashtra, India

Skill Set: Aiml, Artificial Intelligence, Machine Learning, Python, Deep Learning, LLM

Experience: 5 to 7 Years

Responsibilities:

 Provide data science and AI expertise to design, build, and deliver scalable ML and deep

learning solutions.

Work extensively with tabular data to develop predictive models, perform feature

engineering, and optimize performance for real-world applications.

pply conventional machine learning techniques (e.g., regression, classification,

ensemble methods) alongside advanced deep learning methods.

uild and optimize deep learning models for structured and unstructured data, including

text and audio.

ead development of solutions for audio data, including classification, recognition, and

signal processing tasks.

esign, fine-tune, and deploy LLMs (Large Language Models), SLMs (Small

Language Models), and other Generative AI solutions for diverse business

applications.

ranslate business problems into well-structured ML/AI problems and deliver actionable

insights.

eploy production-grade models with a focus on efficiency, scalability, and

maintainability.

ollaborate with cross-functional teams including product managers, engineers, and

domain experts to deliver high-impact projects.

entor junior data scientists and interns, fostering innovation and best practices.

Qualification Requirements:

Educational:

achelor’s degree with at least 7 years of experience or Master’s with at least 4 years of

experience in Data Science/ML/AI.

 Pr rred to have degree from a Tier-1/2 institute (IIT/IISc/NITs if studied in India) or a

globally top-ranked university (as per QS).

Technical:

roven expertise working with large-scale tabular data and building machine learning

models.

trong knowledge of conventional ML algorithms (tree-based models, SVMs,

clustering, etc.).

ands-on experience with deep learning frameworks such as TensorFlow / PyTorch.

andatory expertise in LLMs, SLMs, and Generative AI, including fine-tuning,

prompt engineering, and deployment.

roficiency in Python and libraries such as scikit-learn, pandas, NumPy.

xposure to model deployment frameworks and tools (ONNX, Triton, TensorRT,

FastAPI, etc.).

amiliarity with cloud platforms (Azure/GCP) for training and deploying ML solutions.

xperience with Databricks is a plus.

trong understanding of MLOps practices, reproducibility, and model monitoring.

Other:

xcellent written and verbal communication skills in English.

emonstrated experience working collaboratively in cross-functional teams.

bility to balance research and production priorities while meeting deadlines.

assionate about applying AI/ML to solve diverse real-world problems, especially at the

intersection of GenAI and enterprise AI adoption.

If Intrested. Please submit your CV to or share it via WhatsApp at

Stay updated with our latest job opportunities and company news by following us on LinkedIn: :

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

Mumbai, Maharashtra HERE Technologies

Posted today

Job Viewed

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Job Description

What's the role?

In this role as a Lead Data Scientist, you will be contributing to the research of new algorithms and analysis of customer data. You will be responsible for performing statistical analyses on large datasets. You will use your software engineering skills to further develop our data analytics tools.

Your role encompasses the following key responsibilities:

  • Research new anonymization algorithms including defining and verifying key metrics
  • Apply machine learning techniques to extract insights and build predictive models
  • Create data visualizations and dashboards to communicate findings effectively
  • Demonstrate your findings on a regular basis to the team
  • Generate ideas for new patents and participate in patenting process
  • Participate in code reviews, providing objective feedback and improving overall software quality
  • Actively participate in sprint planning, backlog refinement and other Agile ceremonies with the team
  • Who are you?

    You are a passionate engineer and are willing to quickly learn new have a unique blend of data analysis expertise and programming proficiency, with a focus on data protection and machine learning. Furthermore you have :

  • Bachelor’s degree or higher in Computer Science, Data Science or equivalent field 
  • Seven to ten years of overall work experience including 5+ years of experience in data analysis and software development
  • Strong proficiency in Python programming (including pandas)
  • Expertise in machine learning algorithms and their applications
  • Solid understanding of statistical analysis and data visualization techniques
  • Excellent problem-solving and critical thinking skills
  • Being able to work autonomously
  • Willingness to ensure the quality of your own code
  • Upper-intermediate level of written and spoken English, ability to articulate and communicate clearly complex topics.
  • What we offer:

  • A great work-life balance
  • Hybrid working model
  • Flexible working hours
  • Competitive base salary plus incentives
  • Challenging problems to solve
  • Collaborative and encouraging colleagues
  • Regular feedbacks
  • HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics.

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

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