As a Data Scientist you will be at the forefront of solving high-impact business problems using advanced machine learning, data engineering, and analytics solutions. The role demands a balanced mix of technical expertise, stakeholder management. You will design and analyze A/B tests and apply advanced techniques such as causal inference, matching models, and AutoML to generate reliable, actionable insights. Partnering closely with business and cross-functional teams, you will translate hypotheses into robust analytical models, validate outcomes with statistical rigor, and clearly communicate results to drive data-backed decision-making and measurable business value.
Key Responsibilities- Apply statistical techniques and machine learning methods to solve complex business problems.
- Build, validate, and deploy predictive and analytical models using Python.
- Perform data extraction, transformation, and analysis using SQL across large datasets.
- Work on causal inference techniques such as causal ML, matching models, or uplift modeling to evaluate business interventions.
- Collaborate with product, business, and engineering teams to translate requirements into scalable data solutions.
- Present insights, findings, and recommendations clearly to technical and non-technical stakeholders.
- Ensure data quality, model performance, and continuous improvement of analytical workflows.
Requirements- 8 years of experience in data science and ML models
- Hands-on expertise in Python and SQL for data analysis and modelling.
- In-depth experience with A/B testing or similar methodologies such as Causal ML, Matching Models, or Auto ML.
- Strong problem-solving skills with the ability to work independently on end-to-end data science projects.
- Excellent communication skills and stakeholder management experience.
- Solid understanding of regression, classification, and statistical methods
BenefitsThis position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
