_{22nd August, 2025}

Data Science and Machine Learning Senior Associate #1034727
Job Description:

• At Our Company, we believe that the freedom of movement drives human progress.
• We also believe in providing you with the freedom to define and realize your dreams.
• With our incredible plans for the future of mobility, we offer a wide variety of opportunities for you to accelerate your career potential as you work together with us to define tomorrow's transportation.
• Creating the future of smart mobility requires the highly intelligent use of data, metrics, and analytics.
• That's where you can make an impact as part of our Global Data Insight & Analytics team.
• We are the trusted advisers who enable company to clearly see business conditions, customer needs, and the competitive landscape.
• With our support, key decision-makers can act in meaningful, positive ways.
• Join us and use your data expertise and analytical skills to drive evidence-based, timely decision-making.
• We are seeking a Data Scientist, Public and Charging Analytics under the Global Data Insights & Analytics (GDIA) organization's Strategy & Enterprise Analytics (SEA) team, specifically within the Charging & Energy Services Analytics Product Line.
• This team develops innovative, cloud-native data, AI, and analytics solutions for company.
• We provide data, AI/ML, and advanced analytics solutions to internal partners and co-develop external applications to help improve our EV customer's public charging experience and provide strategic and engineering support to customers.
• As a Data Scientist, you'll be a key player in driving this success.

 
Skills Required:

• Data Science
• Big Data
• Data Architecture
• Data Modeling
• Data/Analytics dashboards
• Data Mining

 
Skills Preferred:

• Artificial Intelligence & Expert Systems
• Forecasting
• Reinforcement Learning

 
Experience Required:

• Master's degree (M.S.) in Data Science, Computer Science, Business Analytics, Machine Learning, Statistics, or a related quantitative field.
• 3+ years of experience in AI/ML, with proven experience developing and deploying machine learning models in a production environment.
• 2+ years of experience in Google cloud platform with solutions designed and implemented at production scale
• 2+ Experience working with Airflow for scheduling and orchestration of data pipelines
• Expertise in SQL for data querying, manipulation, and database interaction.
• Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
• Excellent oral, written, and interpersonal communication skills.

 
Experience Preferred:

• D. in Data Science, Computer Science, Business Analytics, Machine Learning, Statistics, or a related quantitative field.
• Experience working with Terraform to provision Infrastructure as Code
• Experience in electrification and/or transportation domain.
• Experience in forecasting algorithms, anomaly detection algorithms, optimization models
• Experience in Generative AI, including a strong understanding of ML frameworks, algorithms, and practical implementation.
• Experience in specialized areas such as Natural Language Processing (NLP), deep learning (e.g., TensorFlow, PyTorch), or recommendation systems.
• A record of publications or presentations in recognized journals or conferences.
• Inquisitive, proactive, and interested in learning new tools and techniques
• Comfortable working in a fast-paced and innovative environment where problems are not always well-defined

 
Education Required:

• Master's Degree

 
Education Preferred:

• Doctorate

 
Additional Information:
Responsibilities What you'll do...

• Acquire deep understanding of the business problems and translate them into appropriate business solutions
• Design, develop, and implement end-to-end AI/ML pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
• Ingest, transform, and analyze large datasets to support the team in launching data products in the Data Factory on Google CloudPlatform (GCP).
• Act as a full-stack data scientist to develop and deliver advanced analytics models, including classification, anomaly detection, optimization, LLM, and more.
• Write clean, efficient, and well-documented code in Python for data manipulation, feature engineering, and model development.
• Collaborate internally and externally to identify new and novel data sources and explore their potential use in developing actionable business results
• Examine, interpret and report analytical results in both written reports and in oral presentations to varied audiences.

 
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 Work Places in Michigan by the Detroit Free Press in 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023!
To view all of our open positions go to: https://www.fasttek.com/fastswitch/findwork
Follow us on Twitter: https://twitter.com/fasttekglobal
Follow us on Instagram: https://www.instagram.com/fasttekglobal
Find us on LinkedIn: https://www.linkedin.com/company/fasttek
You can become a fan of FastTek on Facebook: https://www.facebook.com/fasttekglobal/
 
 
 

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