What are the responsibilities and job description for the Data Scientist position at Quinnox?
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 on
assigned 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 conferences
Client Management:
Act as a client lead and maintain client relationships; make independent key decisions related to
client management and algorithms used
Be a part of deliverable discussions with clients over telephonic calls, and guide the project team on the next steps and way forward
Most 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 the
time
○ Excellent communication skills, both written and verbal
○ Solution orientation and self-drive
Ideal 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; multiple
data 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
Salary : $100,000 - $130,000
