About Us-

3SC is a supply chain analytics company out of Amsterdam, building since 2012 and backed by GEF Capital. We're not a big-logo behemoth, and we're not a seed-stage experiment. We're the size where your decisions actually shape the product. Our platform runs 117 live use cases for 75+ global enterprises, and the results land where it counts:

● ~5-10%

improvement in demand forecast accuracy.

● ~20%

reduction in working capital.

● 20%+

gains in order-fulfilment efficiency.

● 10%

cut in carbon emissions.

Gartner has us on their radar (a Notable Vendor in the Magic Quadrant, and cited in the Market Guide for Analytics & Decision Intelligence Platforms for our SCAI platform), and yes, we're Great Place to Work® certified. You'll probably care more about the work than the badges, and that's the point.

What we build

● SCAI:

our flagship agentic-AI platform for Integrated Business Planning (IBP), Integrated Operations Planning (IOP), and Enterprise Data Management (EDM).

● iTMS:

intelligent transportation and dispatch management for end-to-end logistics execution.

● CarbonX:

decarbonization and sustainability intelligence for greener supply networks.

About the Role-

Own forecasting & predictive analytics

- Build and deliver scalable forecasting and predictive analytics solutions for business-critical use cases.
- Develop robust models across demand forecasting, sales forecasting, inventory analytics, supply/operations planning, and business performance forecasting.
- Work extensively with time-series and sequential data, including trends, seasonality, lag and rolling features, forecasting validation, backtesting, error analysis, and performance tuning.
- Apply appropriate statistical, machine learning, and forecasting techniques based on the business problem rather than defauting to a single modelling approach.

Turn business problems into decision intelligence

- Translate ambiguous business problems into clear analytical frameworks, modelling approaches, assumptions, features, metrics, and success criteria.
- Perform exploratory data analysis, hypothesis-driven analysis, feature engineering, model evaluation, and root-cause/error analysis.
- Work closely with business, product, engineering,



and data teams to ensure models are practical, scalable, explainable, and aligned to business outcomes.
- Communicate model outputs, assumptions, limitations, recommendations, and trade-offs clearly to both technical and non-technical stakeholders.

Build production-grade data science

- Develop clean, modular, maintainable, and production-friendly Python solutions.
- Support deployment and integration of models into enterprise applications, APIs, and decision-support workflows.
- Contribute to model quality, experiment design, validation standards, documentation, and reusable data science practices.
- Work with engineering teams on packaging, deployment, monitoring, and continuous improvement of analytical solutions.

Lead & raise the bar

- Mentor junior and mid-level data scientists through technical guidance, solution reviews, and hands-on coaching.
- Review modelling approaches and outputs, challenge assumptions, and promote strong data science practices.
- Contribute to the evolution of forecasting and decision-science capabilities across the 3SC platform.
- Stay current with relevant advances in machine learning, forecasting, applied AI, and emerging agentic decision-support approaches.

Mandatory Requirements:

- 7+ years of relevant experience in Data Science, Machine Learning, Predictive Analytics, Applied AI, or a closely related field.
- Strong proficiency in Python for data analysis, modelling, experimentation, and solution engineering.
- Strong hands-on experience in predictive analytics, time-series forecasting, machine learning, statistical analysis, and feature engineering .

- Deep understanding of time-series and sequential data, including:

o Trend and seasonality analysis. o Lag and rolling features.

o Forecast validation and backtesting.

o Forecast error analysis.

o Model performance tuning.





- Robust understanding of core data science concepts including supervised and unsupervised learning, model validation, feature selection/importance, bias-variance trade-offs, experimentation, and hypothesis-driven analysis.
- Experience working with structured and semi-structured business data and good working knowledge of SQL .

- Ability to independently turn an ambiguous business problem into an analytical framework, modelling approach, assumptions, metrics, and measurable success criteria.
- Experience building clean, modular, maintainable, production-oriented code.

- Strong problem-solving and analytical thinking skills.
- Strong stakeholder management and communication skills, with the ability to work effectively across business, product, engineering, and data teams.

- Comfortable operating in ambiguity, driving discussions, challenging assumptions, and taking ownership of outcomes.
- Basic understanding of Docker/containers, Linux/command line, Python service packaging, deployment, and API integration

.

- Demonstrated ability to mentor data scientists and review technical approaches and outputs.

Nice to have-

- Experience in supply chain or operations , particularly:

o Demand forecasting. o Inventory analytics.

o Supply planning.

o Production/operations analytics.

o Logistics/distribution analytics.

- Exposure to optimization, decision-support, or prescriptive analytics .

- Familiarity with FastAPI / Flask .

- Experience with Git and version control .

- Familiarity with MLflow or experiment-tracking platforms .

- Exposure to Airflow or workflow orchestration .

- Experience working with cloud environments such as AWS, Azure, or GCP .

- Understanding of MLOps concepts including model packaging, deployment workflows, monitoring, and retraining pipelines.
- Exposure to LLMs, Generative AI, or Agentic AI systems , including:

o Prompt engineering. o RAG and context-aware AI systems.

o Tool calling and orchestration.

o Multi-agent workflows.

o AI-assisted analytics and decision support.

- Experience working on enterprise-scale analytics, planning, or decision-intelligence platforms.

📌 Principal Data Scientist (Gurugram)
🏢 3SC
📍 Gurugram