Geeks Invention - Senior Data Scientist - Machine Learning/Statistical Modeling

Role Overview :

We are looking for a highly skilled and motivated Senior Data Scientist to join our team. In this role, you will design, develop, and implement advanced data models and algorithms that drive strategic decision-making across the organization. You will work closely with product, engineering, and business teams to uncover insights and deliver data-driven solutions that enhance the performance and scalability of our products and services.

Key Responsibilities :

- Develop, deploy, and maintain machine learning models and advanced analytics pipelines.

- Analyze complex datasets to identify trends, patterns, and actionable insights.

- Collaborate with cross-functional teams (Engineering, Product, Marketing) to define and execute data science strategies.

- Build and improve predictive models using supervised and unsupervised learning techniques.

- Translate business problems into data science projects with measurable impact.

- Design and conduct experiments, A/B tests, and statistical analyses to validate hypotheses and guide product development.

- Create dashboards and visualizations to communicate findings to technical and non-technical stakeholders.

- Stay up-to-date with industry trends, best practices, and emerging technologies in data science and machine learning.

- Ensure data quality and governance standards are maintained across all projects.

Required Skills and Qualifications :

- 68 years of hands-on experience in Data Science, Machine Learning, and Statistical Modeling.

- Proficiency in programming languages such as Python, R, and SQL.

- Strong foundation in data analysis, data wrangling, and feature engineering.

- Expertise in building and deploying models using tools such as scikit-learn, TensorFlow, PyTorch, or similar frameworks.

- Experience with big data platforms (e.g., Spark, Hadoop) and cloud services (AWS, GCP, Azure) is a plus.

- Deep understanding of statistical techniques including hypothesis testing, regression, and Bayesian methods.

- Excellent communication skills with the ability to explain complex technical concepts to non-technical audiences.

- Proven track record of working on cross-functional projects and delivering data-driven solutions that impact business outcomes.

- Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.

- Experience with NLP, computer vision, or deep learning techniques.

- Knowledge of data engineering principles and ETL processes.

- Familiarity with version control (Git), agile methodologies, and CI/CD pipelines.

- Contributions to open-source data science projects or publications in relevant fields.