Data Scientists Modeling

Data Scientists Modeling #981892
Job Description:

• Go-to-marketing-modeling (GTMM) team within NASA of Company’s Global Data, Insight and Analytics (GDI&A) organization 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 company 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.

Required Qualifications:

• Master’s 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.

Education Required:

• Master’s degree in Computer Science, Engineering, Mathematics, Statistics or a related field.

Education Preferred:

• D. in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics or a related field

Additional Info:
At FastTek Global, Our Purpose is Our People and Our Planet. We come to work each day and are reminded we are helping people find their success stories. Also, Doing the right thing is our mantra. We act responsibly, give back to the communities we serve and have a little fun along the way.
We have been doing this with pride, dedication and plain, old-fashioned hard work for 24 years!
FastTek Global is financially strong, privately held company that is 100% consultant and client focused.
We've differentiated ourselves by being fast, flexible,creative and honest. Throw out everything you've heard, seen, or felt about every other IT Consulting company. We do unique things and we do them for Fortune 10, Fortune 500, and technology start-up companies.
Our benefits are second to none and thanks to our flexible benefit options you can choose the benefits you need or want, options include:

• Medical and Dental (FastTek pays majority of the medical program)
• Vision
• Personal Time Off (PTO) Program
• Long Term Disability (100% paid)
• Life Insurance (100% paid)
• 401(k) with immediate vesting and 3% (of salary) dollar-for-dollar match

Plus, we have a lucrative employee referral program and an employee recognition culture.
FastTek Global was named one of the Top Workplaces in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 and 2023!
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