Senior Analyst - Data Science
14-20 LPAPosted on: 20/03/2026
Job Description
Role : SENIOR ANALYST DATA SCIENTIST
Key Responsibilities :
- Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions
- Advanced skills with statistical/programming in Python and data querying languages (e.g., SQL, Hadoop/Hive, Scala)
- Solid understanding of time-series forecasting techniques
- Good hands-on skills in both feature engineering and hyperparameter optimization
- Able to write clean and tested code that can be maintained by other software engineers
- Able to clearly summarize and communicate data analysis assumptions and results
- Able to craft effective data pipelines to transform your analyses from offline to production systems
- Self-motivated and a proactive problem solver who can work independently and in teams
- Connects both externally and internally to understand industry trends, technology advances and outstanding processes or solutions
- Is collaborative and engages (strategic & tactical. Able to influence without authority, handle complex issues and implement positive change
- Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science
- Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment
- Provide guidance and leadership to more junior data scientists, managing processes and flow of work, vetting designs, and mentoring team members to realize their full potential
- Lead discussions at peer review and use interpersonal skills to positively influence decision making
- Provide subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices
- Facilitate cross-geography sharing of new ideas, learnings, and best-practices
What We Are Looking For :
Required Qualifications :
- Master's degree in a quantitative field such as Data Science, Statistics, Applied Mathematics or Bachelor's degree in engineering, computer science, or related field.
- 4 - 6 years of total work experience as data scientist or analytical role, with at least 2-3 years of experience in time series forecasting
- A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project
- Strong experience in Time Series Forecasting and Demand Planning
- Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala)
- Good hands-on skills in both feature engineering and hyperparameter optimization
- Experience producing high-quality code, tests, documentation
- Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies
- Proficiency in statistical concepts and ML algorithms
- Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team
- Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results
- Self-motivated and a proactive problem solver who can work independently and in teams
- Outstanding verbal and written communication skills with the ability to effectively advocate technical solutions to engineering and business teams
Desired Qualifications :
- Experience working in one or multiple supply chain functions (e.g., procurement, planning, manufacturing, quality, logistics) is strongly preferred
- Experience in applying AI/ML within a CPG or Healthcare business environment is strongly preferred
- Experience in creating CI/CD pipelines for deployment using Jenkins.
- Experience implementing MLOPs framework along with understanding of data security
- Implementation on ML models
- Exposure to visualization packages and Azure tech stack.
Must have Skills :
- Python - 2 Years - Intermediate
- Data Analysis - 4 Years - Intermediate
- Time Series Forecasting - 2 Years - Intermediate
- Demand Planning - 2 Years - Intermediate
- SQL - 2 Years - Intermediate
- Hadoop - 2 Years - Intermediate
- Machine Learning - 2 Years - Intermediate
- Statistical concepts - 2 Years - Intermediate
- Supply chain functions - 2 Years -Intermediate
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Posted by
135
Posted in
AI/ML
Functional Area
Data Science
Job Code
1622112
