Job 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
(ref : hirist.tech)