Lead Data Scientist - Bangalore
Altimetrik · Bengaluru, Karnataka, India
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Altimetrik · Bengaluru, Karnataka, India
Dear Candidate, Please find the JD below. Interested candidates can share there updated resume along with below details to Veetha@altimetrik.com Name(as per aadhar card): Pan Card Number: DOB(as per Aadhar): Phone Number: EmailID: Current CTC: Fixed CTC: Expected CTC: holding any offers: Current Company: Payroll Company: Notice PEriod: Mention exact LWD: Have you worked for Citi bank client: Current Location: Preferred location: chennai/bangalore/Pune: Total Experience: Relevant Experience please mention in years below, A/B testing: Data Science: AI/ML: Exp :: 7.5 to 12 years Location :: Bangalore Notice period :: Immediate/15 Days Role & responsibilities Role : Lead Data Scientist/AI/ML( Strong candidates required ) Mandate skill : Agentic AI (Min 3 months , Data Science skills ,Data Analytics skills(SQL ,A/B testing ) ,Good To have Tableau Req Skills: Python, SQL, A/B Testing and Hypothesis Testing, Experimentation, ML Modelling. Some experience on Tableau. Strong storytelling, and Strategic Thinking skillset. This role requires strong statistical expertise, business acumen, and the ability to influence cross-functional stakeholders through data-driven insights. Key Responsibilities: • Lead experiment design and measurement strategy for campaign initiatives.Conduct rigorous A/B tests, quasi-experiments, and advanced statistical analyses. • Deliver clear, actionable insights and executive-ready summaries.Partner with Business, Product, Engineering, and Data Science teams. • Build scalable and reusable measurement frameworks. • 8+ years of experience in advanced analytics or data science.Strong expertise in SQL and Python. • Deep understanding of experimentation, statistical inference, and causal analysis. • Experience working with large-scale, complex datasets. • Strong stakeholder management and communication skills.Self-driven and capable of independently solving technical problems. Preferred Qualifications • Experience building and deploying machine learning models. • Expertise in Data Science with emphasis on applying statistical methods and algorithms • Ability to extract meaningful patterns and predictive models from data • Advanced proficiency in Python for implementing machine learning algorithms, data visualization, and automation of data workflows • Experience in Financial & Performance Tracking to analyze financial data trends and performance metrics • Ability to contribute to overall financial health and operational efficiency of the organization • Conduct rigorous A/B testing, quasi-experimental designs, and advanced statistical analyses to derive actionable insights. Preferred candidate profile