Back to jobs
Senior Data Scientist
Bangalore
Job Summary
The Senior Data Scientist will work on data-driven initiatives to solve complex business challenges, leveraging advanced analytics, machine learning, and statistical modeling. This role requires expertise in translating data insights into actionable strategies and collaborating with cross-functional teams. Ideal candidates will have a strong background in analytics, or tech-driven industries.Key Responsibilities
The Senior Data Scientist will work on data-driven initiatives to solve complex business challenges, leveraging advanced analytics, machine learning, and statistical modeling. This role requires expertise in translating data insights into actionable strategies and collaborating with cross-functional teams. Ideal candidates will have a strong background in analytics, or tech-driven industries.Key Responsibilities
- Develop and deploy predictive models (e.g., customer lifetime value, media mix modeling, time-series forecasting) using Python/R, TensorFlow, or PyTorch.
- Clean, preprocess, and validate large datasets (structured/unstructured) from multiple sources.
- Partner with stakeholders (e.g., marketing, finance) to design data-driven solutions (e.g., A/B testing)
- Ensure adherence to data privacy and ethical AI practices
- Research and implement cutting-edge techniques (e.g., NLP, deep learning) to enhance business strategies.
Required Qualifications
- Education: Master’s/PhD in Statistics, Computer Science, Econometrics, or related quantitative fields.
- Experience: 5+ years in data science, with expertise in:
- Programming: Python/R, SQL, Spark, and libraries (Pandas, Scikit-learn).
- Statistical methods: Decision trees, regression, DL and experimental design.
- Cloud platforms: Azure, Databricks, or AWS 5.
- Soft Skills: Strong storytelling, stakeholder management, and problem-solving.
Create a Job Alert
Interested in building your career at Mico? Get future opportunities sent straight to your email.
Apply for this job
*
indicates a required field