Data Science Engineer

Posted on
Experience
2 - 6 yrs
Job Location
Pune, India
Vacancy
1
Designation
Data Science Engineer
Job Type
ONSITE

Job Description

Bachelor s or Master s in Computer Science, Data Science, Statistics, AI, or equivalent experience
About MHTECHIN
MHTECHIN is a technology innovation firm delivering AI-powered, data-driven solutions in fintech, agri-tech, and SME enablement. As a Data Science Engineer, you will turn complex datasets into actionable insights and production-grade models that directly impact business outcomes.
Key Responsibilities
  • Understand business requirements and translate them into analytical and data engineering solutions.
  • Collect, clean, and process structured and unstructured data from multiple sources.
  • Build, train, and evaluate predictive and prescriptive models using statistical and ML techniques.
  • Develop and maintain data pipelines for batch and real-time processing.
  • Deploy, monitor, and optimize models in production using MLOps practices.
  • Work closely with product managers, engineers, and stakeholders to deliver measurable business impact.
Must-Have Requirements
  • 2 6 years of experience in data science, analytics, or data engineering roles.
  • Strong proficiency in Python with libraries like Pandas, NumPy, scikit-learn, and SQL.
  • Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker).
  • Hands-on experience in building and deploying ML models to production.
  • Solid understanding of statistics, probability, and data visualization.
Nice-to-Have Skills
  • Experience with big data tools (Spark, Hadoop) or workflow orchestration (Airflow, Prefect).
  • Knowledge of NLP, time-series forecasting, or recommendation systems.
  • Familiarity with FastAPI/Flask, streaming data (Kafka/PubSub), or data warehouses (Snowflake, BigQuery, Redshift).
  • Knowledge of data governance, compliance, and security practices.
Why Work With Us
  • Impact: Work on projects that directly affect thousands of users across India.
  • Growth: Fast-paced environment with high ownership and learning opportunities.
  • Flexibility: Hybrid/remote-friendly with modern cloud and analytics stack.
  • Competitive salary with performance-based bonuses.
  • Health insurance and paid leave.
  • Learning and development budget.
  • Modern hardware and tools for work efficiency.
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