| Data Scientist Modeling: Dearborn, MI (100 % Remote) at Dearborn, Michigan, USA |
| Email: [email protected] |
| Hi, I hope you are doing great. Kindly find the below-mentioned job description and if interested, share your updated resume at [email protected] Pay Rate is $55/hr on C2C Role: Data Scientist Modeling Location: Dearborn, MI (100 % Remote) Visa : USC/GC, H4/GC EAD Duration: 36 Months Contract Position Description: Go-to-marketing-modeling (GTMM) team is looking for a highly skilled Machine Learning Engineer to assist in all levels of problem formulation, model development, evaluation, and deployment. NASA(North America Sales Analytics) is a cross-functional team within Ford GDI&A that focuses on market demand sensing/analysis, new/used car price/sales analysis and forecast (short to mid-term), business plan (mid to long term) analysis, etc. GTMM team applies advanced machine learning models and systematic econometrics models to solve a wide variety of challenging problems in automotive sales/incentive/price/inventory/production planning, evaluation, and optimization to help business make relevant and optimal decisions. Key Responsibilities: Design, develop, and deploy machine learning models and algorithms. Collaborate with data engineers to design and maintain scalable data pipelines. Conduct data preprocessing, including collection, cleaning, and feature engineering. Implement machine learning models and monitor their performance. Stay updated with the latest trends and advancements in AI and machine learning. Collaborate with cross-functional teams to understand business requirements and provide AI/ML solutions. Develop tools and processes to monitor and analyze model performance and data accuracy. Skills Required: Design, develop, and deploy machine learning models and algorithms. Collaborate with data engineers to design and maintain scalable data pipelines. Conduct data preprocessing, including collection, cleaning, and feature engineering. Implement machine learning models and monitor their performance. Stay updated with the latest trends and advancements in AI and machine learning. Collaborate with cross-functional teams to understand business requirements and provide AI/ML solutions. Develop tools and processes to monitor and analyze model performance and data accuracy. Required Qualifications: Masters degree in Computer Science, Engineering, Mathematics, Statistics or a related field. 1+ years of post-graduate experience in machine learning, data science, or a related field. Strong programming skills in Python and familiarity with ML libraries (e.g., TensorFlow, PyTorch). Experience with data modeling, data architecture, and ETL processes. Strong understanding of machine learning algorithms and principles. Excellent problem-solving and analytical skills. Ability to work in a fast-paced, team-oriented environment. Skills Preferred: Experience with cloud platforms (e.g., AWS, Azure, GCP). Knowledge of containerization technologies (e.g., Docker, Kubernetes). Familiarity with DevOps and MLOps practices. Experience with demand forecast and pricing strategy Experience Required: 1+ years of post-graduate experience in machine learning, data science, or a related field. Strong programming skills in Python and familiarity with ML libraries (e.g., TensorFlow, PyTorch). Experience with data modeling, data architecture, and ETL processes. Strong understanding of machine learning algorithms and principles. Excellent problem-solving and analytical skills. Ability to work in a fast-paced, team-oriented environment. Experience Preferred: Experience with cloud platforms (e.g., AWS, Azure, GCP). Knowledge of containerization technologies (e.g., Docker, Kubernetes). Familiarity with DevOps and MLOps practices. Experience with demand forecast and pricing strategy Education Required: Masters degree in Computer Science, Engineering, Mathematics, Statistics or a related field. Education Preferred: Ph.D. in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics or a related field panel 10 drug test, standard background check. Thanks & Regards Harshit Sharma | 1Point System LLC Sr. Technical Acquisition Office: (704) 980-0370 Fax: 803-832-7973 [email protected] LinkedIn: linkedin.com/in/harshit-sharma-032388212 115 Stone Village Drive Suite C Fort Mill, SC 29708 An E-Verified company | An Equal Opportunity Employer Disclaimer: If you wish not to receive the email in the -- Keywords: artificial intelligence machine learning information technology golang green card Michigan South Carolina |
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| Mon Jan 29 21:51:00 UTC 2024 |