Senior Applied Data Scientist

Mumbai - India

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Department:

Data Science

Job Summary

We are seeking a high-impact Senior Applied Data Scientist to join our team where you will bridge the gap between advanced mathematical modeling and tangible business value. You will lead the design and implementation of sophisticated analytical solutions that solve complex problems for our global clients.

In this role you will act as a strategic partner working alongside consultants and engineers to translate business requirements into scalable data products. Unlike theoretical research your focus will be appliedmeaning you will be responsible for the end-to-end lifecycle of a model from exploratory data analysis and feature engineering to production-grade deployment and monitoring.

You are not just a model builder; you are a problem solver who understands the why behind the data. You will navigate the nuances of predictive analytics causal inference and optimization to ensure our clients reach their transformation goals with precision and efficiency. We invest in your growth by providing access to cutting-edge tools global centers of excellence and a collaborative environment where technical rigor meets business strategy.

Key Responsibilities

End-to-End ML Development: Lead the discovery development and deployment of machine learning models (Regression Classification Clustering Time-Series Forecasting) to solve industry-specific challenges.

Business Translation: Work closely with stakeholders to identify high-value use cases and translate vague business problems into concrete technical roadmaps.

Data Engineering & Wrangling: Design and optimize data pipelines and feature stores ensuring data quality and integrity across diverse environments (SQL NoSQL Data Lakes).

Advanced Analytics: Apply statistical rigor to experimental design including A/B testing and causal inference to validate the impact of business interventions.

Model Productization: Partner with ML Engineers to implement MLOps best practices including versioning automated testing and CI/CD for model deployment.

Scalable Architecture: Design robust reusable analytical frameworks that can be scaled across different client engagements or internal Sia products.

Stakeholder Management: Communicate complex technical findings to non-technical executive audiences through compelling storytelling and data visualization.

Mentorship: Act as a technical lead providing code reviews architectural guidance and mentorship to junior data scientists within the team.

Innovation: Stay at the forefront of the field evaluating and integrating emerging techniques in Deep Learning Reinforcement Learning or Optimization into the Sia toolkits.

Qualifications :

Education: Masters or PhD in a quantitative field such as Statistics Mathematics Computer Science Economics or Physics.
Experience: 6 years of professional experience in Data Science with a proven track record of deploying models into production environments.

Core Tech Stack: Expert-level proficiency in Python and its ecosystem (Pandas NumPy Scikit-Learn XGBoost/LightGBM).

Deep Learning: Hands-on experience with frameworks like PyTorch or TensorFlow.

Cloud Proficiency: Strong experience with cloud-based AI/ML platforms (AWS SageMaker Azure ML or Google Vertex AI).

AI-Native Engineering Leadership: Experience managing teams that utilize Cursor GitHub Copilot or Claude Code as a core part of their daily workflow.

Data Manipulation: Advanced SQL skills and experience with big data technologies (Spark Databricks or Snowflake).

DevOps/MLOps: Familiarity with Docker Kubernetes and Git-based workflows.

Consulting Mindset: Excellent communication skills with the ability to navigate fast-paced client-facing environments and manage multiple priorities.

Problem Solving: A sharp analytical mind capable of breaking down complex ambiguous problems into executable steps.

Additional Information :

What Success Looks Like

Thinks in systems not just features.

Acts as a force multiplier for technical teams.

Drives clarity in ambiguous technical situations.

Chooses long-term maintainability over short-term hacks.

Communicates complex ideas with precision and calm authority.

Leads through technical credibility not hierarchy.

What We Offer

Opportunity to lead cutting-edge AI projects in a global consulting environment.

A dynamic and collaborative team environment with diverse projects.

Sia is an equal opportunity employer. All aspects of employment including hiring promotion remuneration or discipline are based solely on performance competence conduct or business needs.

Remote Work :

Employment Type :

Full-time

Key Responsibilities

End-to-End ML Development: Lead the discovery development and deployment of machine learning models (Regression Classification Clustering Time-Series Forecasting) to solve industry-specific challenges.

Business Translation: Work closely with stakeholders to identify high-value use cases and translate vague business problems into concrete technical roadmaps.

Data Engineering & Wrangling: Design and optimize data pipelines and feature stores ensuring data quality and integrity across diverse environments (SQL NoSQL Data Lakes).

Advanced Analytics: Apply statistical rigor to experimental design including A/B testing and causal inference to validate the impact of business interventions.

Model Productization: Partner with ML Engineers to implement MLOps best practices including versioning automated testing and CI/CD for model deployment.

Scalable Architecture: Design robust reusable analytical frameworks that can be scaled across different client engagements or internal Sia products.

Stakeholder Management: Communicate complex technical findings to non-technical executive audiences through compelling storytelling and data visualization.

Mentorship: Act as a technical lead providing code reviews architectural guidance and mentorship to junior data scientists within the team.

Innovation: Stay at the forefront of the field evaluating and integrating emerging techniques in Deep Learning Reinforcement Learning or Optimization into the Sia toolkits.

Qualifications :

Education: Masters or PhD in a quantitative field such as Statistics Mathematics Computer Science Economics or Physics.
Experience: 6 years of professional experience in Data Science with a proven track record of deploying models into production environments.

Core Tech Stack: Expert-level proficiency in Python and its ecosystem (Pandas NumPy Scikit-Learn XGBoost/LightGBM).

Deep Learning: Hands-on experience with frameworks like PyTorch or TensorFlow.

Cloud Proficiency: Strong experience with cloud-based AI/ML platforms (AWS SageMaker Azure ML or Google Vertex AI).

AI-Native Engineering Leadership: Experience managing teams that utilize Cursor GitHub Copilot or Claude Code as a core part of their daily workflow.

Data Manipulation: Advanced SQL skills and experience with big data technologies (Spark Databricks or Snowflake).

DevOps/MLOps: Familiarity with Docker Kubernetes and Git-based workflows.

Consulting Mindset: Excellent communication skills with the ability to navigate fast-paced client-facing environments and manage multiple priorities.

Problem Solving: A sharp analytical mind capable of breaking down complex ambiguous problems into executable steps.

Additional Information :

What Success Looks Like

Thinks in systems not just features.

Acts as a force multiplier for technical teams.

Drives clarity in ambiguous technical situations.

Chooses long-term maintainability over short-term hacks.

Communicates complex ideas with precision and calm authority.

Leads through technical credibility not hierarchy.

What We Offer

Opportunity to lead cutting-edge AI projects in a global consulting environment.

A dynamic and collaborative team environment with diverse projects.

Sia is an equal opportunity employer. All aspects of employment including hiring promotion remuneration or discipline are based solely on performance competence conduct or business needs.

Remote Work :

Employment Type :

Full-time

Key Skills

Laboratory Experience
Mammalian Cell Culture
Biochemistry
Assays
Protein Purification
Research Experience
Next Generation Sequencing
Research & Development
cGMP
Cell Culture
Molecular Biology
Flow Cytometry

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About Company

Sia

Sia est un groupe international de conseil en management de nouvelle génération. Fondé en 1999, nous sommes nés à l’ère du numérique. Aujourd’hui, nos services en stratégie et management sont augmentés par la data science, enrichis par la créativité et guidés par la responsabilité. No ... View more

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