Chainalytics - Data Scientist - Supply Chain Analytics

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

- Solid subject matter expertise in demand planning, forecasting, inventory optimization, and data science & management.

- 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.

- Advanced user of Microsoft office applications (Excel, Access, Project, Visio, PowerPoint, and Word), SQL, R and (or) Python.

- 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