Senior Data Scientist

Mico; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Mico, Bengaluru, is seeking a Senior Data Scientist to drive data‑driven initiatives using analytics, ML, and statistical modeling. You will translate insights into strategies, work with cross‑functional teams, and advance personalization and forecasting efforts.

Ideal candidates bring 5+ years in data science, expert Python/SQL, and experience with cloud platforms like AWS/Azure. You will contribute to production pipelines, privacy practices, and cutting‑edge research.

Qualifications

• Master’s/PhD in a quantitative field.
• 5+ years in data science with end-to-end ownership.
• Expert Python, SQL, Spark; Pandas/Scikit-learn/PyTorch.
• Experience with recommendations systems and NLP/LLMs.
• Strong clustering and time-series forecasting knowledge.
• Cloud experience (Azure/Databricks/Snowflake/AWS).
• Proficient Linux/Unix and Git/GitHub; CI/CD familiarity.
• Exceptional stakeholder management and problem solving.

Responsibilities

• KPI design and stakeholder strategy with cross-functional teams.
• Data engineering and exploratory data analysis on large datasets.
• Design and implement personalization and recommendation systems.
• Develop and deploy predictive models (CLV, MMM, time-series).
• Lead advanced segmentation initiatives to drive brand empowerment.
• Iterate to improve model accuracy with rigorous evaluation.
• Maintain production-grade code in GitHub and ensure privacy.
• Explore state-of-the-art AI techniques (LLMs, NLP, DL).

Skills

Python

SQL

Spark

Pandas

PyTorch

Scikit-learn

PySpark

LLMs/NLP

Time-series

Unsupervised clustering

AWS

Azure

Databricks

Snowflake

GitHub

VS Code

Linux

Education

Master’s/PhD in Statistics, Computer Science, Econometrics, or related quantitative fields

Tools

Databricks

Snowflake

Azure

AWS

VS Code

GitHub

Job description

Who we are

Mico is a company with a clear mission: to Empower every brand by building lifetime trust through humanlike technology. This ambitious goal sets the stage for our vision and core values. By 2030, Mico aims to be the Asia No.1 Brand Empowerment Company. This mid‑term goal outlines our dedication to becoming the leading force in empowering brands across Asia. To achieve our mission, we identify four key values:

• WOW THE CUSTOMER
• SMART SPEED
• OPEN MIND
• ALL FOR ONE

Senior Data Scientist - Job Description

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

• KPI Design & Stakeholder Strategy: Partner with cross‑functional stakeholders (e.g., Marketing, Finance) to define and propose business KPIs that are logically sound, reasonably challenging, and easily communicable to non‑technical teams.
• Data Engineering & EDA: Clean, preprocess, and validate large, complex datasets (structured/unstructured). Perform deep‑dived Exploratory Data Analysis (EDA) to identify patterns, ensure data integrity, and set the initial strategic direction for analysis.
• Personalization & Recommendation: Design and implement recommendation engines to enhance user engagement and brand trust, leveraging both classical and deep learning‑based approaches.
• Iterative Model Development: Develop and deploy predictive models—including customer behavior prediction, customer lifetime value (CLV), media mix modeling, and time‑series forecasting—using Python and PyTorch.
• Advanced Segmentation: Lead customer behavioural analysis projects using unsupervised clustering techniques to drive personalised brand empowerment strategies.
• Continuous Improvement Loops: Systematically identify bottlenecks in model accuracy through rigorous evaluation and error analysis; iterate on model architectures and data features to consistently hit and exceed target KPIs.
• Collaborative Engineering & Privacy: Maintain production‑grade code repositories using GitHub, ensuring version control and documentation are integrated into the R&D process while adhering to data privacy and ethical AI practices.
• Cutting‑Edge Research: Research and implement state‑of‑the‑art techniques, including LLMs/Generative AI, NLP, and Deep Learning, to enhance business strategies and solve brand empowerment challenges.

Required Qualifications

• Education: Master’s/PhD in Statistics, Computer Science, Econometrics, or related quantitative fields.
• Experience: 5+ years in data science, with proven expertise in:
  • End‑to‑End Ownership: Proven experience leading projects from initial data preparation and KPI definition through to delivery of final business impact.
  • Programming: Expert‑level proficiency in Python, SQL, and Spark, along with deep practical knowledge of libraries such as Pandas, Scikit‑learn, PyTorch, and PySpark.
  • Modeling & Mathematical Expertise: Extensive experience in the architecture and implementation of Decision Trees, Regression models, and Deep Learning (including LLMs/NLP).
  • Recommendation Systems: Deep expertise in building recommendation models, including Collaborative Filtering, Content‑Based Filtering, Matrix Factorisation, and Neural Collaborative Filtering (NCF).
  • Analytical Methods: Strong command of Unsupervised Clustering/Segmentation techniques and modern Time‑Series Forecasting methodologies.
  • Experimental Methodology: Rigorous skills in offline evaluation, cross‑validation techniques, and iterative hypothesis testing to improve model performance.
  • Cloud Platforms: Hands‑on experience architecting and deploying solutions in Azure, Databricks, Snowflake, or AWS.
  • Development Environment & Version Control: Advanced proficiency with Linux/Unix environments and VS Code, alongside GitHub/Git for collaborative development, branching strategies, and CI/CD workflows.
• Soft Skills: Exceptional stakeholder management (translating complex data into simple stories), professional time management, and a relentless problem‑solving mindset.