DG-Manager-Data Scientist
DG-Manager-Data Scientist
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Job Description
Ready to build the future with AI
At Genpact we dont just keep up with technologywe set the pace. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory our industry-first accelerator is an example of how were scaling advanced technology solutions to help global enterprises work smarter grow faster and transform at scale. From large-scale models to agentic AI our breakthrough solutions tackle companies most complex challenges.
If you thrive in a fast-moving innovation-driven environment love building and deploying cutting-edge AI solutions and want to push the boundaries of whats possible this is your moment.
Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge operational excellence and cutting-edge solutions we help companies across industries get ahead and stay ahead.Powered by curiosity courage and innovationour teamsimplementdata technology and AItocreate tomorrow today.Get to know us atand onLinkedInXYouTube andFacebook.
Inviting applications for the role of Manager Data Scientist
We are looking for a highly motivated and technically proficient Senior Data Scientist with deep expertise in time series forecasting machine learning natural language processing (NLP) and Python programming. This role is critical to enhancing our forecasting capabilities driving product segmentation strategies and supporting data-driven decision-making.
The candidate will work closely with cross-functional teams including data engineers analysts and project managers to develop test and deploy scalable forecasting models and analytical solutions in a cloud-based environment.
Responsibilities
1. Forecasting & Model Development
Design develop and implement advanced time series forecasting models (e.g. ARIMA Prophet LSTM XGBoost etc.) tailored to different product categories and business needs.
Evaluate and improve forecast accuracy by establishing robust metrics and conducting regular performance assessments throughout the sales cycle.
Run what-if scenarios and simulations to assess the impact of various business conditions on forecast outcomes.
2. Segmentation & Clustering
Collaborate with the Senior Data Scientist to perform segmentation and clustering of product identifiers using unsupervised learning techniques (e.g. K-means DBSCAN hierarchical clustering).
Analyze product behavior patterns to identify slow- and fast-moving items and generate actionable insights for inventory and sales planning.
3. Data Extraction & Feature Engineering
Extract clean and transform data from multiple source systems (e.g. SQL databases APIs cloud storage) to support modeling and analysis.
Engineer relevant features and variables to enhance model performance and interpretability.
4. Model Evaluation & Deployment
Conduct comparative analysis of forecasting methods across different segments tuning parameters and optimizing performance.
Work in close coordination with Data Engineers and cloud platform teams to ensure seamless deployment of models into production environments (e.g. AWS Azure GCP).
Monitor deployed models for drift accuracy and performance and implement retraining pipelines as needed.
5. Collaboration & Communication
Partner with cross-functional stakeholders to understand business requirements and translate them into analytical solutions.
Present findings insights and recommendations to both technical and non-technical audiences through reports dashboards and presentations.
Qualifications we seek in you!
Minimum Qualifications / Skills
- Good years of hands-on experience in data science with a strong focus on forecasting and predictive analytics.
- Proficiency in Python and its data science ecosystem (Pandas NumPy Scikit-learn TensorFlow/PyTorch Statsmodels etc.).
- Strong understanding of time series analysis machine learning algorithms and NLP techniques.
- Experience with data extraction and manipulation using SQL and/or cloud-based data tools.
- Familiarity with cloud platforms (AWS Azure or GCP) and model deployment workflows.
- Ability to work in a fast-paced agile environment with shifting priorities and tight deadlines.
Excellent problem-solving analytical thinking and communication skills.
Preferred Qualifications/ Skills
Masters in computer science Data Science Statistics or a related field
Why join Genpact
- Lead AI-first transformation Build and scale AI solutions that redefine industries
- Make an impact Drive change for global enterprises and solve business challenges that matter
- Accelerate your careerGain hands-on experience world-class training mentorship and AI certifications to advance your skills
- Grow with the best Learn from top engineers data scientists and AI experts in a dynamic fast-moving workplace
- Committed to ethical AI Work in an environment where governance transparency and security are at the core of everything we build
- Thrive in a values-driven culture Our courage curiosity and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress
Come join the 140000 coders tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up.
Lets build tomorrow together.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race color religion or belief sex age national origin citizenship status marital status military/veteran status genetic information sexual orientation gender identity physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity customer focus and innovation.
Furthermore please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a starter kit paying to apply or purchasing equipment or training.
Required Experience:
Manager
Employment Type
Full Time
