- Analyze complex datasets and develop predictive models using statistical and machine learning techniques.

- Collaborate with cross-functional teams to identify business needs and provide data-driven insights.

- Develop and maintain data visualizations, dashboards, and reports to communicate key insights and findings.

- Design and execute experiments to validate hypotheses and improve performance of existing models.

- Continuously monitor and improve the performance of models and data pipelines.

- Stay up-to-date with the latest developments in data science, machine learning, and related fields.

- Communicate technical concepts and results to both technical and non-technical stakeholders.

Qualifications :

- Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.

- 2+ years of experience in a data science role, preferably in a fast-paced environment.

- Strong programming skills in R/ Python.

- Experience with data visualization and dashboarding tools such as Data Studio

- Experience with SQL and NoSQL databases.

- Solid understanding of statistical and machine learning techniques such as regression, classification, clustering, decision trees, neural networks, NLP, recommendation systems, llm, etc.

- Experience with data manipulation, cleansing, preparation and modeling using tools such as Pandas, NumPy, SciPy, TensorFlow, Keras, etc.

- Strong problem-solving and critical thinking skills.

- Excellent written and verbal communication skills.