344 Data Science Manager jobs in Mumbai
Data Science Manager
Posted today
Job Viewed
Job Description
Purpose of the Role
We are seeking a highly motivated and experienced Senior Data Scientist to join our team and spearhead the development of Generative AI (GenAI) capabilities within Mondelz International from an enterprise application perspective. In this pivotal role, you will champion the full lifecycle of GenAI application projects, taking ownership from initial concept and design to successful deployment, ongoing optimization, and continuous improvement. Beyond project execution, you will serve as a strategic advisor, guiding the evolution of our GenAI capabilities and ensuring alignment with overarching business objectives. This includes defining and enforcing internal standards for GenAI application development, guaranteeing compliance with ethical and security guidelines. You will also support the design of enterprise-level logical architectures for typical GenAI applications and evaluate and recommend the most appropriate tools and technologies to empower our GenAI initiatives. Ultimately, you will play a critical role in shaping the future of GenAI within Mondelz, driving innovation, maximizing value realization, and fostering responsible AI adoption across the enterprise.
Key Responsibilities:
- GenAI Application development: Serve as the tech lead from data science point of view in the complete lifecycle of GenAI application projects, from initial ideation and design to successful deployment, optimization, and continuous improvement. Include both in house development or partner collaboration.
- Strategic Advisory: Provide strategic advice on the evolution of our GenAI capabilities to match company goals. Keeping up with the latest GenAI trend and map that to Mondelez application context to enable us do things better and smarter.
- Standards and Governance: Help establish and enforce programmatic approaches, governance frameworks and best practices for effective GenAI application building. Responsible AI for GenAI applications, data protection in GenAI context, complying to regulatory requirements and cost-effective GenAI application deployment.
- Enterprise Architecture Support: Support the design and development of enterprise-level logical architectures for typical GenAI applications, ensuring scalability, maintainability, and integration with existing infrastructure.
- Technology Evaluation and Recommendation: Evaluate and recommend the most appropriate GenAI tools, technologies, and platforms to empower our GenAI initiatives, staying abreast of the latest advancements in the field with a focus on cloud-based tools/technologies.
- Knowledge Sharing and Mentoring: Share knowledge and expertise with other team members, mentor junior data scientists, and spearhead the development of a strong GenAI community within Mondelz.
Skills and Experiences:
- Deep understanding of data science methodologies and implications: proficiency in machine learning, deep learning, statistical modelling, optimization, causal inference etc. Experience in mapping business problems to such methodologies with clear understanding/consideration in Ethical implications, risk mitigation, integration requirements, resource demand/optimization etc.
- Hands-on experience in cloud environment (8 years): Cloud platform, cloud-based data storage, processing, AI/ML model building, model life cycle, process orchestration, cost optimization etc.
- Working experience with MLOps (5 years): Understand MLOps processes and practice, familiar with MLOps Tools and technologies. Contributed significantly to shaping MLOps practice in an enterprise setup.
- LLM Application architecture & Integration (3 years): Hands-on experience building RAG applications, clear understanding of the underline technologies. Extensive experience integrating LLM into workflow through different ways (API etc). Experience in build Agent to leverage LLM and other tools for complex tasks. Familiar with Agent frameworks and orchestration tools.
- Core GenAI expertise (3 years): Prompt Engineering, Agentic Framework, Model fine-tuning.
- Cloud Based Deployment & Scaling (LLM-Specific): Practical experience deploying and scaling LLM-based applications in cloud environment. Familiar with scaling strategies for LLMs, and integration with other application.
- Collaboration with cross-functional teams (5 years): Proven ability to collaborate effectively with cross-functional teams. Excellent communication skills, both written and verbal to articulate technical concepts.
Qualifications:
- Masters degree in a Quantitative Discipline, PhD preferred.
- Minimum 8 years of experience in data science/AI.
- Minimum 3 years of GenAI focused experience.
Data Science - Manager
Posted today
Job Viewed
Job Description
Data Science + Gen AI with below mandatory skills.
Must to Have : Agent Framework, RAG Framework, Chunking Strategies, LLMs, AI on cloud
Services, Open Source Frameworks like Langchain, Llama Index, Vector Database, Token
Management, Knowledge Graph, Vision
Exp Range - 10 to 12 years
Requirements
Major Duties & Responsibilities
• Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business
questions
• Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment
and operationalization of projects
• Influence machine learning strategy for Digital programs and projects
• Make solution recommendations that appropriately balance speed to market and analytical soundness
• Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor
• Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R,
TensorFlow)
• Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations.
• Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations,
scenarios, and stories.
• Create algorithms to extract information from large, multiparametric data sets.
• Deploy algorithms to production to identify actionable insights from large databases.
• Compare results from various methodologies and recommend optimal techniques.
• Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations,
scenarios, and stories.
• Develop and embed automated processes for predictive model validation, deployment, and implementation
• Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science
• Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate
reusability, and reliability upon deployment
• Lead discussions at peer review and use interpersonal skills to positively influence decision making
• Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make
impactful contributions to internal discussions on emerging practices
• Facilitate cross-geography sharing of new ideas, learnings, and best-practices
Required Qualifications
• Bachelor of Science or Bachelor of Engineering at a minimum.
• 10-12 years of work experience as a Data Scientist
• A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to
quickly cycle hypothesis through the discovery phase of a project
• Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL,
Hadoop/Hive, Scala)
• Good hands-on skills in both feature engineering and hyperparameter optimization
• Experience producing high-quality code, tests, documentation
• Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML,
Synapse, Databricks
• Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine
learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies
• Proficiency in statistical concepts and ML algorithms
• Good knowledge of Agile principles and process
• Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team
• Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and
results
• Self-motivated and a proactive problem solver who can work independently and in teams
Benefits
Work with one of the Big 4's in India
Modelling and Data Science Manager
Posted today
Job Viewed
Job Description
The purpose of this role is to develop best in class strategies and management of all Insights and Analysis activity on assigned clients, to manage and develop the team and serve as a point of escalation as needed.
Job Description:
Experience - 7+ Years
Should have some Team management experience along with
a. ML Ops, model deployment etc.
b. On DS front, NLP, LLM, RAG with langchain
c. Databricks & any cloud
What are we looking for :
- Experience in Data Science, Machine Learning, Deep Learning and Gen AI.
- Design, Architect and Execute end to end Data Science pipelines which includes
Data extraction, data preprocessing, Feature engineering, Model building, tuning
and Deployment.
- Experience in leading a team and responsible for project delivery.
- Experience in Building end to end machine learning pipelines with expertise in
developing CI/CD pipelines using Azure Synapse pipelines, Databricks, Google
Vertex AI and AWS.
- Experience in developing advanced natural language processing (NLP) systems,
specializing in building RAG (Retrieval-Augmented Generation) models using
Langchain. Deploy RAG models to production.
Classification models, Regression models and Clustering Techniques.
- Maintaining GitHub repositories and cloud computing resources for effective and
efficient version control, development, testing and production.
- Developing proof-of-concept solutions and assisting in rolling these out to our
clients.
Required Skills & Qualifications:
- Hands-on experience with Azure Databricks, Azure ML, Azure Synapse, Azure
Blob Storage, and Azure Kubernetes Service (AKS).
- Experience with forecasting models, time series analysis, and predictive
analytics.
- Proficiency in Python (NumPy, Pandas, TensorFlow, PyTorch, Statsmodels, Scikitlearn, Hugging Face, FAISS).
- Experience with model deployment, API optimization, and serverless
architectures.
- Hands-on experience with Docker, Kubernetes, and MLflow for tracking and
scaling ML models.
- Expertise in optimizing time complexity, memory efficiency, and scalability of ML
models in a cloud environment.
- Experience with Langchain or equivalent and RAG and multi-agentic generation
Location:
DGS India - Mumbai - Thane Ashar IT Park
Brand:
Merkle
Time Type:
Full time
Contract Type:
Permanent
Modelling and Data Science Manager
Posted today
Job Viewed
Job Description
The purpose of this role is to develop best in class strategies and management of all Insights and Analysis activity on assigned clients, to manage and develop the team and serve as a point of escalation as needed.
Job Description:
Experience - 7+ Years
Should Have Some Team Management Experience Along With
- ML Ops, model deployment etc.
- On DS front, NLP, LLM, RAG with langchain
- Databricks & any cloud
What are we looking for :
- Experience in Data Science, Machine Learning, Deep Learning and Gen AI.
- Design, Architect and Execute end to end Data Science pipelines which includes
Data extraction, data preprocessing, Feature engineering, Model building, tuning
and Deployment.
- Experience in leading a team and responsible for project delivery.
- Experience in Building end to end machine learning pipelines with expertise in
developing CI/CD pipelines using Azure Synapse pipelines, Databricks, Google
Vertex AI and AWS.
- Experience in developing advanced natural language processing (NLP) systems,
specializing in building RAG (Retrieval-Augmented Generation) models using
Langchain. Deploy RAG models to production.
Classification models, Regression models and Clustering Techniques.
- Maintaining GitHub repositories and cloud computing resources for effective and
efficient version control, development, testing and production.
- Developing proof-of-concept solutions and assisting in rolling these out to our
clients.
Required Skills & Qualifications:
- Hands-on experience with Azure Databricks, Azure ML, Azure Synapse, Azure
Blob Storage, and Azure Kubernetes Service (AKS).
- Experience with forecasting models, time series analysis, and predictive
analytics.
- Proficiency in Python (NumPy, Pandas, TensorFlow, PyTorch, Statsmodels, Scikitlearn, Hugging Face, FAISS).
- Experience with model deployment, API optimization, and serverless
architectures.
- Hands-on experience with Docker, Kubernetes, and MLflow for tracking and
scaling ML models.
- Expertise in optimizing time complexity, memory efficiency, and scalability of ML
models in a cloud environment.
- Experience with Langchain or equivalent and RAG and multi-agentic generation
Location:
DGS India - Mumbai - Thane Ashar IT Park
Brand:
Merkle
Time Type:
Full time
Contract Type:
Permanent
Jobs For Data Science Manager-Reputed IT Industry-Mumbai, Maharashtra, India-30LPA-Harshala
Posted today
Job Viewed
Job Description
JOB DETAILS
1.Python Programming
2.Strong OOPS Concepts
3.Strong knowledge in CS fundamentals - Datastructures, algorithm design & Problem-solving
4.Experience in workflow management platforms like - Apache Airflow, pachyderm, MLFlow
5.AWS Lambda, Step Functions, State Machines, setting up data pipelines.
6.Must have experience in working in a Rapid Prototyping environment. Be able to take the initiative and work with minimum guidance and requirements.
7.Experience in Machine Learning - Pandas, Scikit-Learn, EDA, PCA, other Data preprocessing techniques
8.Experience in any Infrastructure as code platform like Terraform, AWS CloudFormation.
FUNCTIONAL AREA
Data science manager, Python programming, Apache, airflow, machine learning, data science, data scientist, data analystics, senior data scientist jobs in Mumbai, senior data scientist jobs in Maharashtra, senior data scientist jobs in India, senior data science jobs in Mumbai, senior data science jobs in Maharashtra, data science jobs in India, Data Science manager, Data Science manager jobs in Mumbai, Data Science manager jobs in Maharashtra, Data Science manager india, Data Analytics Consulting Services in Mumbai, Analytics Consulting for small business in Mumbai, Analytics Consulting Companies in Mumbai, Data Analytics services for small business in Mumbai, Data Analytics services companies in Mumbai, Analytics Consulting services in Mumbai, Big Data Analytics Consulting services in Mumbai, Data Science Consulting services in Mumbai, Data Science Consulting company in Mumbai, Analytics Consulting companies in India, Data Science Consulting in India, Big Data Analytics Consulting services in India.
Apply Now
Manager, Data Science
Posted 10 days ago
Job Viewed
Job Description
**Are You Ready to Make It Happen at Mondelēz International?**
**Join our Mission to Lead the Future of Snacking. Make It With Pride.**
You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.
**How you will contribute**
You will:
+ Analyze and derive value from data through the application methods such as mathematics, statistics, computer science, machine learning and data visualization. In this role you will also formulate hypotheses and test them using math, statistics, visualization and predictive modeling
+ Understand business challenges, create valuable actionable insights about the data, and communicate your findings to the business. After that you will work with stakeholders to determine how to use business data for business solutions/insights
+ Enable data-driven decision making by creating custom models or prototypes from trends or patterns discerned and by underscoring implications. Coordinate with other technical/functional teams to implement models and monitor results
+ Apply mathematical, statistical, predictive modelling or machine-learning techniques and with sensitivity to the limitations of the techniques. Select, acquire and integrate data for analysis. Develop data hypotheses and methods, train and evaluate analytics models, share insights and findings and continues to iterate with additional data
+ Develop processes, techniques, and tools to analyze and monitor model performance while ensuring data accuracy
+ Evaluate the need for analytics, assess the problems to be solved and what internal or external data sources to use or acquire. Specify and apply appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision making
+ Contribute to exploration and experimentation in data visualization and you will manage reviews of the benefits and value of analytics techniques and tools and recommend improvements
**What you will bring**
A desire to drive your future and accelerate your career and the following experience and knowledge:
+ Strong quantitative skillset with experience in statistics and linear algebra.
+ A natural inclination toward solving complex problems
+ Knowledge/experience with statistical programming languages including R, Python, SQL, etc., to process data and gain insights from it
+ Knowledge of machine learning techniques including decision-tree learning, clustering, artificial neural networks, etc., and their pros and cons
+ Knowledge and experience in advanced statistical techniques and concepts including, regression, distribution properties, statistical testing, etc.
+ Good communication skills to promote cross-team collaboration
+ Multilingual coding knowledge/experience: Java, JavaScript, C, C++, etc.
+ Experience/knowledge in statistics and data mining techniques including random forest, GLM/regression, social network analysis, text mining, etc. Ability to use data visualization tools to showcase data for stakeholders
We're looking for a Senior Data Scientist to lead data science engagements within Mondelēz International. This role involves owning the full lifecycle of data science application projects, from concept to deployment and optimization. You'll also be a strategic advisor, shaping our data science capabilities, and defining internal standards for application development.
Your responsibilities also include the enterprise-level data science applications design and recommending the right tools and technologies. A good balance between traditional AI/ML and GenAI experience is preferred. You'll play a critical role in driving innovation, maximizing value, and fostering responsible AI adoption in D&A function.
**Key Responsibilities:**
+ **Lead Data Science Application Development/Deployment:** Lead the full lifecycle of data science projects, from ideation and design to deployment and optimization, whether developed in-house, through partner collaboration or buying off-the-shelf.
+ **Advisory AI/GenAI** : Provide strategic advice on the evolution of our AI/GenAIcapabilities to match company goals. Keeping up with the latest GenAItrend.
+ **Standards and Governance:** Help establish/refresh and enforce programmatic approaches, governance frameworks and best practices for effective data science application building.
+ **Technology Evaluation and Recommendation** : Evaluate and recommend the most appropriate AI/GenAItools, technologies.
+ **Knowledge Sharing and Mentoring** : Share knowledge and expertise with other team members, mentor junior data scientists, and spearhead the development of a strong AI community within Mondelēz.
**Skills and Experiences:**
+ **Deep understanding of data science methodol** **ogies** **and implications** **:** proficiency in machine learning, deep learning, statistical modelling, optimization, causal inference etc.
+ **Hands-on experience in cloud environment** (8 years) **:** Cloud platform, cloud-based data storage, processing, AI/ML model building, model life cycle, process orchestration, cost optimization etc.
+ **LLM Application architecture & Integration** (3 years): Hands-on experience building RAG applications, clear understanding of the underline technologies.
+ **Cloud Based Deployment & Scaling:** Practical experience deploying and scaling data science (including GenAI) applications in cloud environment. Familiar with scaling strategies for LLMs, and integration with other application.
+ **Collaboration with cross-functional teams/stakeholder management** (5 years): Proven ability to collaborate effectively with cross-functional teams. Excellent communication skills, both written and verbal to articulate technical concepts. A big emphasis on the ability to listen and capture key information.
**Qualifications:**
+ Master's degree in a Quantitative Discipline, PhD preferred.
+ Minimum 8 years of experience in data science/AI.
+ Minimum 2 years of GenAI experience.
Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy
**Business Unit Summary**
**At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.**
**We have a rich portfolio of strong brands globally and locally including many household names such as** **_Oreo_** **,** **_belVita_** **and** **_LU_** **biscuits;** **_Cadbury Dairy Milk_** **,** **_Milka_** **and** **_Toblerone_** **chocolate;** **_Sour Patch Kids_** **candy and** **_Trident_** **gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.**
**Our 80,000 makers and bakers are located in more** **than 80 countries** **and we sell our products in** **over 150 countries** **around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen-and happen fast.**
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
**Job Type**
Regular
Data Science
Analytics & Data Science
At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.
Manager, Data Science
Posted today
Job Viewed
Job Description
Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.
How you will contribute
You will:
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
We're looking for a Senior Data Scientist to lead data science engagements within Mondelēz International. This role involves owning the full lifecycle of data science application projects, from concept to deployment and optimization. You'll also be a strategic advisor, shaping our data science capabilities, and defining internal standards for application development.
Your responsibilities also include the enterprise-level data science applications design and recommending the right tools and technologies. A good balance between traditional AI/ML and GenAI experience is preferred. You'll play a critical role in driving innovation, maximizing value, and fostering responsible AI adoption in D&A function.
Key Responsibilities:
Skills and Experiences:
Qualifications:
Business Unit Summary
At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands globally and locally including many household names such as , and biscuits; , and chocolate; candy and gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.
Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Job Type
RegularData ScienceAnalytics & Data ScienceBe The First To Know
About the latest Data science manager Jobs in Mumbai !
Manager, Data Science
Posted today
Job Viewed
Job Description
Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.
How you will contribute
You will:
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
We're looking for a Senior Data Scientist to lead data science engagements within Mondelēz International. This role involves owning the full lifecycle of data science application projects, from concept to deployment and optimization. You'll also be a strategic advisor, shaping our data science capabilities, and defining internal standards for application development.
Your responsibilities also include the enterprise-level data science applications design and recommending the right tools and technologies. A good balance between traditional AI/ML and GenAI experience is preferred. You'll play a critical role in driving innovation, maximizing value, and fostering responsible AI adoption in D&A function.
Key Responsibilities:
Skills and Experiences:
Qualifications:
Business Unit Summary
At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands globally and locally including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.
Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Job Type
RegularData ScienceAnalytics & Data ScienceManager, Data Science
Posted today
Job Viewed
Job Description
Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
You will be crucial in supporting our business by creating valuable, actionable insights about the data, and communicating your findings to the business. You will work with various stakeholders to determine how to use business data for business solutions/insights.
How you will contribute
You will:
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
We're looking for a Senior Data Scientist to lead data science engagements within Mondelēz International. This role involves owning the full lifecycle of data science application projects, from concept to deployment and optimization. You'll also be a strategic advisor, shaping our data science capabilities, and defining internal standards for application development.
Your responsibilities also include the enterprise-level data science applications design and recommending the right tools and technologies. A good balance between traditional AI/ML and GenAI experience is preferred. You'll play a critical role in driving innovation, maximizing value, and fostering responsible AI adoption in D&A function.
Key Responsibilities:
Skills and Experiences:
Qualifications:
Business Unit Summary
At Mondelēz International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands globally and locally including many household names such as , and biscuits; , and chocolate; candy and gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum.
Our 80,000 makers and bakers are located in more than 80 countries and we sell our products in over 150 countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen—and happen fast.
Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Job Type
RegularData ScienceAnalytics & Data ScienceData Science / ML engineer - Manager
Posted today
Job Viewed
Job Description
We are seeking a highly skilled Data Scientist / ML Engineer with a strong foundation in data engineering (ELT, data pipelines) and advanced machine learning to develop and deploy sophisticated models. The role focuses on building scalable data pipelines, developing ML models, and deploying solutions in production to support a cutting-edge reporting, insights, and recommendations platform for measuring and optimizing online marketing campaigns.
The ideal candidate should be comfortable working across data engineering, ML model lifecycle, and cloud-native technologies.
Job Description:
Key Responsibilities:
1. Data Engineering & Pipeline Development
2. Machine Learning Model Development & Validation
3. MLOps & Model Deployment
4. Cloud & Infrastructure Optimization
5. Business Impact & Cross-functional Collaboration
Qualifications & Skills:
Educational Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, Statistics, or a related field.
- Certifications in Google Cloud (Professional Data Engineer, ML Engineer) is a plus.
Must-Have Skills:
- Experience: 5-10 years with the mentioned skillset & relevant hands-on experience
- Data Engineering: Experience with ETL/ELT pipelines, data ingestion, transformation, and orchestration (Airflow, Dataflow, Composer).
- ML Model Development: Strong grasp of statistical modeling, supervised/unsupervised learning, time-series forecasting, and NLP.
- Programming: Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL for large-scale data processing.
- Cloud & Infrastructure: Expertise in GCP (BigQuery, Vertex AI, Dataflow, Pub/Sub, Cloud Storage) or equivalent cloud platforms.
- MLOps & Deployment: Hands-on experience with CI/CD pipelines, model monitoring, and version control (MLflow, Kubeflow, Vertex AI, or similar tools).
- Data Warehousing & Real-time Processing: Strong knowledge of modern data platforms for batch and streaming data processing.
Nice-to-Have Skills:
- Experience with Graph ML, reinforcement learning, or causal inference modeling.
- Working knowledge of BI tools (Looker, Tableau, Power BI) for integrating ML insights into dashboards.
- Familiarity with marketing analytics, attribution modeling, and A/B testing methodologies.
- Experience with distributed computing frameworks (Spark, Dask, Ray).