Hatchtra Innotech Pvt. Ltd.
Website:
hatchtra.com
Job details:
Job Title- Data Scientist
Experience Range- 6-10 Years
Job Location- Mumbai/Pune
Work Mode - Hybrid Mode
Notice Period Requirement- Immediate to 15 days or March serving candidate
Job Summary:
A Data Scientist is responsible for analyzing complex datasets to uncover insights, build predictive models, and support data-driven decision-making. The role involves applying statistical analysis, machine learning techniques, and data visualization to solve business problems, improve processes, and drive strategic outcomes. Collaboration with cross-functional teams is key to translating data findings into actionable solutions.
Key Responsibilities:
1. Advanced Modeling & Insight Leadership
• Model Ownership: Lead the design, construction, validation, and production deployment of complex predictive models (e.g., machine learning algorithms, deep learning, time series, optimization, SLM adapters) that solve high-impact business challenges.
• Strategic Analysis: Conduct sophisticated statistical analysis and research to uncover deep, non-obvious insights and opportunities, and proactively recommend strategic initiatives to senior leadership.
• SLM Strategy & Fine-Tuning: Lead the research and selection of base Small Language Models (SLMs). Define the fine-tuning strategy, including objective functions and evaluation benchmarks to ensure model alignment with domain-specific requirements.
• Technical Excellence: Serve as a subject matter expert in advanced analytical methodologies and ensure the team adheres to best practices in data science and statistical rigor.
2. Data Governance & Reporting
• Data Architecture: Collaborate with Data Engineering teams to define and improve the underlying data structure, ensuring data quality and accessibility for complex modeling and reporting needs.
• System Refinement: Lead the development, maintenance, and automation of mission-critical dashboards and reporting systems (using tools like Tableau, Power BI) that drive operational understanding and monitor model performance.
• SQL Mastery: Act as the internal expert for complex SQL querying, optimization, and data manipulation across large, disparate datasets.
3. Mentorship & Stakeholder Management
• Mentorship: Provide technical guidance, code review, and mentorship to junior analysts, helping them grow their modeling and analytical skills.
• Stakeholder Communication: Present highly technical findings, model limitations, and strategic recommendations in a clear, concise, and compelling manner to executive-level business partners.
• Project Leadership: Own and manage multiple complex analytical projects simultaneously, ensuring timely delivery and successful integration of results into business processes.
Required Skills and Experience:
• Experience: Minimum of 5+ years of experience in Software Engineering or Machine Learning Engineering, with a proven track record of deploying AI models in production.
• Technical Stack (Expert Level):
o Languages: Expert proficiency in Python; familiarity with lower-level languages (C++/Rust) or Go for performance-critical components is preferred.
o AI Frameworks: Deep experience with PyTorch, TensorFlow, or JAX, and libraries for model adaptation and inference (e.g., Hugging Face ecosystem).
o Data Infrastructure: Hands-on experience with SQL/NoSQL databases, Vector Databases, and cloud-native AI services (AWS, GCP, or Azure).
• Engineering Rigor: Demonstrated mastery of version control (Git), CI/CD pipelines, containerization (Docker/Kubernetes), and API design (REST/gRPC).
• Problem Solving: Proven ability to optimize models for restricted resource environments (memory, CPU/GPU limits) without compromising core performance
• PEFT & Adaptability: Deep experience with PEFT libraries (e.g., Hugging Face PEFT) and fine-tuning frameworks. Ability to manage and version multiple "Specialist Adapters."
Preferred Qualifications:
• Expert proficiency in SQL for complex data manipulation and performance tuning.
• Fluency in a statistical programming language (Python) with deep experience in modeling libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Demonstrated experience with cloud environments (e.g., AWS, GCP, Azure) and version control (Git).
• Advanced Modeling: Extensive hands-on experience developing, back-testing, and deploying production-ready predictive models with measurable business impact.
• Business Acumen: Proven ability to translate broad, ambiguous business problems into well-defined analytical projects and deliver quantifiable results.
• Leadership: Prior experience mentoring, leading projects, or functioning as a technical lead.
Education & Shift timings
B.Tech or B.E, in Computer science, software engineering.
Interested candidates can share their updated Resume at vedavati.k@hatchtra.com
Click on Apply to know more.