Padmi

Data Science Engineer

MumbaiPosted 13 months ago
Data Science And StatisticsMid-level
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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. How to Apply Apply for this position Allowed Type(s): .pdf, .doc, .docx By using this form you agree with the storage and handling of your data by this website. *

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