Data Scientist – Supply Chain Analytics (NEW) Job Vacancy in Chainalytics Bengaluru, Karnataka – Updated today

Are you looking for a New Job or Looking for better opportunities?
We got a New Job Opening for

Full Details :
Company Name : Chainalytics
Location : Bengaluru, Karnataka
Position :

Job Description : bright minds | better methods | best outcomes
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
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

This post is listed Under  Software Development
Disclaimer : Hugeshout works to publish latest job info only and is no where responsible for any errors. Users must Research on their own before joining any company