Data Scientist

Title: Data Science Opportunity Opportunity Description:● Working very closely with business stakeholders on projects; interactions with business stakeholders on a daily basis○ Understand the client objectives, and work with the Project Lead (PL) to design the analytical●  solution/framework. Be able to translate the client objectives / analytical plan into clear●  deliverables with associated priorities and constraints○  Organize/Prepare/Manage data and conduct quality checks to ensure that the analysis dataset is ready○  Explore and implement various statistical and analytical techniques (including machine●  learning) like linear/non-linear Regression, Decision Trees, Segmentation, time series●  forecasting as well as machine learning algorithms like Random Forest, SVM, ANN, etc.○ Conduct sanity checks of the analysis output based on reasoning and common sense, and be●  able to do a rigorous self QC, as well as of the work assigned to other analysts to ensure an●  error-free output○  Troubleshoot, isolate and remediate model errors○  Work on and manage large to mid-size projects, and ensure smooth service delivery onassigned products, engagements, and/or geographies.○  Designing machine learning pipeline and knowledge of ML-OPS○  Familiar in implementing solutions in Azure Cloud Framework○  Interpret the output in the context of the client’s business and industry to identify trends and●  actionable insights○ Be able to visualize the findings through a PPT succinctly, a BI dashboard (Tableau, Power BI,● etc.) and highlight the key takeaways from a business perspective○ Be able to take client calls relatively independently, and interact with onsite leads (if● applicable) on a daily basis○ Discuss queries/certain sections of the deliverable report over client calls or video conferencesClient Management:Act as a client lead and maintain client relationships; make independent key decisions related toclient management and algorithms usedBe a part of deliverable discussions with clients over telephonic calls, and guide the project team on the next steps and way forwardMost Important Requirements:○  Superior problem solving abilities and strong analytical thinking○  Desire to work in a fast paced, challenging environment where you need to push yourself all thetime○  Excellent communication skills, both written and verbal○  Solution orientation and self-driveIdeal Candidate:○  3+ years of relevant advanced analytics experience in Retail, or CPG industries. Other B2C domains can be considered○  Experience in managing, cleaning and analyzing large datasets using tools like Python○  Experience in using multiple advanced analytics techniques or machine learning algorithms○  Experience in handling client calls and working independently with clients○  Understanding of consumer businesses such as Retail○  Knowledge of working across multiple data types and files like flat files, RDBMS files; multipledata platforms (SQL Server, Teradata, Hadoop, Spark); on premise or on the cloud○  Candidate should have worked on Azure platform and must have strong understanding of it○  Knowledge of advanced statistical techniques like Decision trees, different types of regressions,clustering, Forecasting (ARIMA/X), ML, etc.● Other Skills○  Excellent communication skills (both written and oral)○  Ability to create client-ready deliverables in Excel and PowerPoint○  Optimization techniques (linear, non-linear), and knowledge of supply chain○  VBA, Excel Macro programming, Tableau, Power BI● Education○  Engineers from top-tier institutes (IITs, DCE/NSIT, NITs) or Post Graduates in Maths/Statistics from top Tier Colleges/Universities○  MBA from top-tier B-schools