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Senior Data Scientist
Bangalore
Micoworks is a company with a clear mission: to Empower every brand for the better future. This ambitious goal sets the stage for their vision and core values.
Who we are
By 2030, Micoworks aims to be the Asia No.1 Brand Empowerment Company. This mid-term goal outlines their dedication to becoming the leading force in empowering brands across Asia.
To achieve their mission and vision, Micoworks identifies four key values that guide their work:
- WOW THE CUSTOMER
- SMART SPEED
- OPEN MIND
- ALL FOR ONE
Micoworks' mission, vision, and values paint a picture of a company dedicated to empowering brands, working with agility and open-mindedness, and prioritising customer success.
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.
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