Key Responsibilities<\/strong><\/p>\n\n\n\n

\n
• Understand business requirements and translate them into analytical and data engineering solutions.<\/li>\n\n\n\n
• Collect, clean, and process structured and unstructured data from multiple sources.<\/li>\n\n\n\n
• Build, train, and evaluate predictive and prescriptive models using statistical and ML techniques.<\/li>\n\n\n\n
• Develop and maintain data pipelines for batch and real-time processing.<\/li>\n\n\n\n
• Deploy, monitor, and optimize models in production using MLOps practices.<\/li>\n\n\n\n
• Work closely with product managers, engineers, and stakeholders to deliver measurable business impact.<\/li>\n<\/ul>\n\n\n\n

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  \n\n\n\n

  Must-Have Requirements<\/strong><\/p>\n\n\n\n

  \n
  • 2\u20136 years of experience in data science, analytics, or data engineering roles.<\/li>\n\n\n\n
  • Strong proficiency in Python with libraries like Pandas, NumPy, scikit-learn, and SQL.<\/li>\n\n\n\n
  • Experience with cloud platforms (AWS\/GCP\/Azure) and containerization (Docker).<\/li>\n\n\n\n
  • Hands-on experience in building and deploying ML models to production.<\/li>\n\n\n\n
  • Solid understanding of statistics, probability, and data visualization.<\/li>\n<\/ul>\n\n\n\n

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    \n\n\n\n

    Nice-to-Have Skills<\/strong><\/p>\n\n\n\n

    \n
    • Experience with big data tools (Spark, Hadoop) or workflow orchestration (Airflow, Prefect).<\/li>\n\n\n\n
    • Knowledge of NLP, time-series forecasting, or recommendation systems.<\/li>\n\n\n\n
    • Familiarity with FastAPI\/Flask, streaming data (Kafka\/PubSub), or data warehouses (Snowflake, BigQuery, Redshift).<\/li>\n\n\n\n
    • Knowledge of data governance, compliance, and security practices.<\/li>\n<\/ul>\n\n\n\n

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      \n\n\n\n

      Why Work With Us<\/strong><\/p>\n\n\n\n

      \n
      • Impact:<\/strong> Work on projects that directly affect thousands of users across India.<\/li>\n\n\n\n
      • Growth:<\/strong> Fast-paced environment with high ownership and learning opportunities.<\/li>\n\n\n\n
      • Flexibility:<\/strong> Hybrid\/remote-friendly with modern cloud and analytics stack.<\/li>\n<\/ul>\n\n\n\n

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        \n\n\n\n

        Benefits<\/strong><\/p>\n\n\n\n

        \n
        • Competitive salary with performance-based bonuses.<\/li>\n\n\n\n
        • Health insurance and paid leave.<\/li>\n\n\n\n
        • Learning and development budget.<\/li>\n\n\n\n
        • Modern hardware and tools for work efficiency.<\/li>\n<\/ul>\n\n\n\n

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          \n\n\n\n

          How to Apply<\/strong>
          Send your resume to hr@mhtechin.com<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

          Job Title: Data Science EngineerCompany: MHTECHINLocation: Pune, Maharashtra, India (Hybrid\/Remote)Employment Type: Full-time, PermanentExperience Required: 2\u20136 yearsSalary Range: \u20b912,00,000 \u2013 \u20b924,00,000 per yearEducation: Bachelor\u2019s or Master\u2019s in Computer Science, Data Science, Statistics, AI, or equivalent experience About MHTECHINMHTECHIN is a technology innovation firm delivering AI-powered, data-driven solutions in fintech, agri-tech, and SME enablement. As a Data […]<\/p>\n","protected":false},"author":1,"template":"","meta":[],"class_list":["post-20923","awsm_job_openings","type-awsm_job_openings","status-publish","hentry","job-category-data-science","job-type-full-time","job-location-pune"],"_links":{"self":[{"href":"https:\/\/careers.mhtechin.com\/index.php\/wp-json\/wp\/v2\/awsm_job_openings\/20923","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/careers.mhtechin.com\/index.php\/wp-json\/wp\/v2\/awsm_job_openings"}],"about":[{"href":"https:\/\/careers.mhtechin.com\/index.php\/wp-json\/wp\/v2\/types\/awsm_job_openings"}],"author":[{"embeddable":true,"href":"https:\/\/careers.mhtechin.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"wp:attachment":[{"href":"https:\/\/careers.mhtechin.com\/index.php\/wp-json\/wp\/v2\/media?parent=20923"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}