Senior Data Scientist

3 weeks ago

Chennai, Tamil Nadu, India Megovation Full time

Job Title: Senior Data Scientist (Advanced Modeling & Machine Learning)

Location: Remote

Location Preference: We are specifically looking to hire talented individuals from Tier 2 and Tier 3 cities for this opportunity.

Job Type: Full-time

About the role

We are seeking a highly motivated and experienced Senior Data Scientist with a strong background in statistical modeling, machine learning, and natural language processing (NLP). This individual will work on advanced attribution models and predictive algorithms that power strategic decision-making across the business. The ideal candidate will have a Master's degree in a quantitative field, 4–6 years of hands-on experience, and demonstrated expertise in building models from linear regression to cutting-edge deep learning and large language models (LLMs). A Ph.D. is strongly preferred.

Responsibilities

  • Responsible for analyzing the data, identifying patterns, and do a detailed EDA. 
  • Build and refine predictive models using techniques such as linear/logistic regression, XGBoost, and neural networks.
  • Leverage machine learning and NLP methods to analyze large-scale structured and unstructured datasets.
  • Apply LLMs and transformers to develop solutions in content understanding, summarization, classification, and retrieval.
  • Collaborate with data engineers and product teams to deploy scalable data pipelines and model production systems.
  • Interpret model results, generate actionable insights, and present findings to technical and non-technical stakeholders.
  • Stay abreast of the latest research and integrate cutting-edge techniques into ongoing projects

Required Qualifications

  • Master's degree in Computer Science, Statistics, Applied Mathematics, or a related field.
  • 4–6 years of industry experience in data science or machine learning roles.
  • Strong statistical foundation, with practical experience in regression modeling, hypothesis testing, and A/B testing.
  • Hands-on knowledge of:

> Programming languages : Python (primary), SQL, R (optional)

> Libraries : pandas, NumPy, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, spaCy, Hugging Face Transformers

> Distributed computing : PySpark, Dask

> Big Data and Cloud Platforms : Databricks, AWS Sagemaker, Google Vertex AI, Azure ML

> Data Engineering Tools : Apache Spark, Delta Lake, Airflow

> ML Workflow & Visualization : MLflow, Weights & Biases, Plotly, Seaborn, Matplotlib

> Version control and collaboration : Git, GitHub, Jupyter, VSCode

Preferred Qualifications

  • Masters or Ph.D. in a quantitative or technical field.
  • Experience with deploying machine learning pipelines in production using CI/CD tools.
  • Familiarity with containerization (Docker) and orchestration (Kubernetes) in ML workloads.
  • Understanding of MLOps and model lifecycle management best practices.
  • Experience in real-time data processing (Kafka, Flink) and high-throughput ML systems.

What We Offer

  • Competitive salary and performance bonuses
  • Flexible working hours and remote options
  • Opportunities for continued learning and research
  • Collaborative, high-impact team environment
  • Access to cutting-edge technology and compute resources

To apply, send your resume to to be part of a team pushing the boundaries of data-driven innovation.

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