Data Science and Machine Learning Specialist
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Role details
Tech stack
Job description
Employees in this job function are responsible for predicting and/ or extracting meaningful trends/ patterns/ recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc., * Understand business requirements and analyze datasets to determine suitable approaches to meet analytic business needs and support data-driven decision-making
- Design and implement data analysis and ML models, hypotheses, algorithms and experiments to support data driven decision-making
- Apply various analytics techniques like data mining, predictive modeling, prescriptive modeling, math, statistics, advanced analytics, machine learning models and algorithms, etc.; to analyze data and uncover meaningful patterns, relationships, and trends
- Design efficient data loading, data augmentation and data analysis techniques to enhance the accuracy and robustness of data science and machine learning models, including scalable models suitable for automation
- Research, study and stay updated in the domain of data science, machine learning, analytics tools and techniques etc.; and continuously identify avenues for enhancing analysis efficiency, accuracy and robustness, * Undertake statistical modeling, predictive analytics, and insight generation for the RAV platform
- Perform deep dive analyses on RAV vehicles to detect early indicators and recommend actions to prevent/mitigate RAV
- Execute quick turn studies for urgent business questions by mining, managing, and exploring large, high dimensional structured and unstructured datasets (e.g., RAV, quality, repair orders, repeat visits, parts orders/supply, service, warranty claims, recalls)
- Visualize validation results, analyses, and predictions using Power BI to deliver clear qualitative and quantitative insights
- Collaborate closely with architects, project managers, data engineers, software engineers, and other data scientists to test pipelines, validate outputs, and launch new platform capabilities and insights into production for maximum business value
- Communicate, present, and interpret analytical results to non technical audiences, cross functional teams, and leadership on a regular basis
Requirements
- Data Mining, Data/Analytics dashboards, ALGORITHMS, Data/Analytics, Data Analysis, Data Science
Experience Required:
- Specialist Exp: 5+ experience in relevant field
Education Required:
- Master’s Degree
Education Preferred:
- Doctorate
Benefits & conditions
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
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