Senior Data Scientist - Analytics

Description:

Key Responsibilities:

- Understand business requirements and translate them into data-driven, analytical, and ML-based solutions.

- Design, develop, and implement predictive models, statistical algorithms, and advanced analytical frameworks.

- Apply machine learning, advanced analytics, and statistical techniques to uncover trends and generate actionable insights.

- Build scalable and automated data pipelines, analytical workflows, and end-to-end modeling frameworks.

- Perform Exploratory Data Analysis (EDA) and develop meaningful dashboards, visualizations, and data-driven recommendations.

- Collaborate with cross-functional teams to ensure accurate data interpretation and impactful analytics solutions.

- Stay updated with the latest trends and innovations in AI/ML, GenAI, data platforms, and advanced analytics to enhance solution effectiveness.

Required Skills:

- Strong hands-on expertise in BigQuery, Python, Data Science, AI/ML, Machine Learning, and Data Analytics.

- Solid understanding of algorithms, predictive modeling, statistical methods, and data visualization tools.

- Experience working with large-scale datasets and cloud-based analytics platforms.

Desired Profile:

- Proven ability to independently lead and execute end-to-end data analysis and machine learning projects.

- Experience in handling large datasets, preferably in automotive or similar high-volume data domains.

- Strong analytical thinking, problem-solving abilities, and a passion for working with complex data challenges.

- Excellent communication skills with the ability to present insights effectively to technical and non-technical stakeholders.

Experience:

- 7-10 years of relevant experience in Data Science, Machine Learning, Analytics, or related fields