Job Title: Senior Data Scientist (Advanced Modeling & Machine Learning)Location: RemoteLocation Preference: We are specifically looking to hire talented individuals from Tier 2 and Tier 3 cities for this opportunity.Job Type: Full-timeAbout the roleWe 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.ResponsibilitiesResponsible 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 projectsRequired QualificationsMaster’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, VSCodePreferred QualificationsMasters 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 OfferCompetitive salary and performance bonusesFlexible working hours and remote optionsOpportunities for continued learning and researchCollaborative, high-impact team environmentAccess to cutting-edge technology and compute resourcesTo apply, send your resume to to be part of a team pushing the boundaries of data-driven innovation.
Job Title
Senior Data Scientist (Advanced Modeling & Machine Learning)