Data Scientist

bright minds | better methods | best outcomes
Chainalytics, an NTT DATA company, accelerates fact-based transformation for supply chain leaders around the world. Providing world-class consulting and managed analytics services, our competencies are powered by an unrivaled passion for our core purpose: to help enterprises realize maximum value from their supply chains. Our top supply chain talent, enabled by proven, leading-edge digital assets—tools, methods, and content—deliver actionable insights and measurable outcomes to some of today's largest and most complex supply chains. With talent spanning North America, Europe, and Asia-Pacific, we serve clients globally in a borderless fashion.

Chainalytics accelerates fact-based transformation for supply chain leaders around the globe, including 18 of Gartner's Top 25 supply chains. We bring unparalleled passion to our core purpose: to help leaders realize maximum value from their supply chains. Our combination of top supply chain talent, proven methodologies and proprietary market intelligence delivers actionable insight and measurable outcomes. With locations across North America, Europe, Asia and Australia, Chainalytics serves companies globally in a borderless fashion
Chainalytics' Integrated Demand and Supply Planning (IDSP) practice assists clients with the executive IDSP process. We define the executive IDSP process as a cross-functional business process with a goal of balancing demand and supply as profitably as possible by maintaining one “truth” - that is, one integrated sales and operations plan. In addition, we offer opportunity assessments that focus on improvements available from integrating the planning processes.
Our professionals work closely with clients on initiatives to balance demand and supply by helping them design their demand and supply planning processes, overlay enabling technology, and ultimately, implement the executive IDSP process. The result is improved cost efficiency and service levels for our clients, thus increasing their supply chain's contribution to added shareholder value and overall business effectiveness.
**RESPONSIBILITIES**
- Understanding business objectives and formulate the problem as a Data Science problem
- Develop advanced ML/time-series models for forecasting and predictive modelling using coding skills
- Develop and/or optimize models for demand sensing/forecasting, optimization (Heuristic, LP, GA etc), Anomaly detection, Simulation and stochastic models, Market Intelligence etc.
- Develop BI dashboards to create a story based on the analyses and share final analysis result with clients
- Procure data from multiple data sources and do data wrangling to convert it into analytical dataset to perform predictive modelling
- Research on the newer technologies and algorithms, to improve forecast accuracy and analytics
- Focus on developing end-to-end analytical solution, developing, and documenting digital assets.
- Most roles require a high level of face-to-face interaction with clients, the ability to perform analytical work (Excel/R/SQL, etc) and present recommendations via PowerPoint/other formats to the senior leadership team

**SKILLS**
- Impeccable integrity, passion for supply chain predictive modeling, creative, and energetic
- Hands-on experience in implementation of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others) and time-series algorithms (e.g. ARIMA, ets, Holt-Winters, thief, Prophet, bats / tbats and others)
- Strong programming skills and expertise in using SQL, R and(or) Python for Data Science
- Strong analytical techniques, data mining knowledge and proficiency in handling and processing large amounts of data is needed
- Knowledge in Alteryx will be an added advantage
- Strong visualization and presentation skills and building dashboards in tools like Power BI and (or) Tableau
- Critical thinker with strong analytical and problem-solving skills
- Excellent communication, and interpersonal skills
- Strong multi-tasking, and time-management skills
- Ability to work in an ambiguous environment and take initiative
- Commitment to personal growth, practice growth, and client success on every project

**QUALIFICATIONS**
- 4+ years of experience with emphasis in demand planning, forecasting and inventory modeling.
- Exposure to implementation experience with advanced planning and scheduling technical solutions desired, e.g. JDA, O9, Logility, ToolsGroup, Vanguard, etc.
- Proven experience as a Data Scientist or similar role.
- Bachelor's degree in Logistics, Industrial Engineering, Information Systems, Supply Chain Management or Transportation and Logistics
- Master of Business Administration (MBA) or other post graduate degree preferred