| Sr. Data Scientist with Heavy Automotive Experience || Nashville, Tennessee at Nashville, Tennessee, USA |
| Email: [email protected] |
| From: Shubham, USC Group [email protected] Reply to: [email protected] Position: Sr. Data Scientist with Heavy Automotive Experience Location: Nashville, Tennessee Visa: USC, GC, GC-EAD, H4-EAD and H1B Key Points: Must have 12+ Years of experience Must have much Automotive Experience - Must to must ROLES & RESPONSIBILITIES: Strategic Leadership: Provide 10+ years of visionary leadership, specializing in Automotive Data Science, machine learning, and predictive modeling, with a focus on the past 4-8 years. ML Innovation: Showcase expertise in ML frameworks (e.g., scikit-learn, TensorFlow) and excel in data preprocessing, feature engineering, and algorithmic implementation for automotive applications. Analytical Mastery: Demonstrate advanced analytical skills, excelling in statistical analysis, hypothesis testing, and adept problem-solving. Communicate intricate technical concepts with finesse to both technical and non-technical stakeholders. Cutting-Edge Proficiency: Exhibit desirable proficiencies in big data technologies, cloud platforms (Azure), NLP, and deep learning. Bonus points for prior client-facing or consulting roles. Collaboration & Integration: Collaborate seamlessly with automotive teams, ensuring the integration of sophisticated data science solutions into the industry's complex landscape. TECHNICAL COMPETENCY: Strategic Data Analysis: Leverage 10+ years of expertise to cleanse and analyze diverse automotive datasets, employing advanced visualization techniques to identify trends. Model Innovation: Spearheaded the refinement of predictive models, employing rigorous testing to tackle real-world challenges in the automotive sector using Azure-based machine learning. Effective Data Mining: Source and harness relevant automotive data, transforming it into actionable insights using Azure data mining capabilities. Feature Engineering Mastery: Boost model performance by expertly engineering features from automotive datasets, maximizing the potential of Azure's feature engineering tools: Tailored Algorithm Implementation: Implement Azure-based, custom-tailored ML algorithms to effectively address automotive-specific challenges, ensuring optimal performance and efficiency. EDUCATIONAL & Experience: Educational Background: Bachelors degree in Computer Science, Engineering, Data Science, or a related field. Advanced degree (Masters or Ph.D.) preferred Professional Experience: Minimum of 10+ years in machine learning roles, with a focus on algorithm development and deployment Practical Application: Demonstrated experience in implementing machine learning solutions that have positively impacted business outcomes. Keywords: machine learning information technology green card |
| [email protected] View all |
| Mon Jan 22 19:33:00 UTC 2024 |