Data Science and Machine Learning
HTC Global Services
Date: 9 hours ago
City: Dearborn, MI
Contract type: Full time

Job Description:
HTC Global Services wants you. Come build new things with us and advance your career. At HTC Global you'll collaborate with experts. You'll join successful teams contributing to our clients' success. You'll work side by side with our clients and have long-term opportunities to advance your career with the latest emerging technologies.
At HTC Global Services our consultants have access to a comprehensive benefits package. Benefits can include Paid-Time-Off, Paid Holidays, 401K matching, Life and Accidental Death Insurance, Short & Long Term Disability Insurance, and a variety of other perks.
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.
Key Responsibilities:
HTC Global Services wants you. Come build new things with us and advance your career. At HTC Global you'll collaborate with experts. You'll join successful teams contributing to our clients' success. You'll work side by side with our clients and have long-term opportunities to advance your career with the latest emerging technologies.
At HTC Global Services our consultants have access to a comprehensive benefits package. Benefits can include Paid-Time-Off, Paid Holidays, 401K matching, Life and Accidental Death Insurance, Short & Long Term Disability Insurance, and a variety of other perks.
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.
Key Responsibilities:
- Develop and analyze future vehicle pricing and volume forecasts against business plans and scenarios, providing recommendations for effective decision-making.
- Create compelling visual representations of data, leveraging effective data storytelling and insights to persuade business partners to act on recommendations.
- Collaborate frequently with peers and business partners on diverse data analysis, studies, and projects.
- Continuously seek improved approaches and methodologies to evolve our advisory support as the business navigates an ever-changing industry landscape.
- Utilize advanced modeling and simulation techniques to generate modeling scenarios to support strategic business decisions, optimizing the performance of Business Units.
- Apply attribution modeling, statistics, optimization, operation research, machine learning, and other advanced techniques to solve real-world business problems.
- Develop analytical methodologies and specify data requirements by translating business phenomena into appropriate mathematical/regression equations
- Use ‘outside the box’ thinking and modeling to answer difficult questions in an environment with little information and resources
- 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.
- Be able to quickly convert a real business question into a solvable modeling problem, sort out relevant information, and judge the solution against business realities.
- Apply business acumen to the problem and solution vs. a solely data-based approach.
- Familiarity with vehicles, attention to detail, time management, willingness to learn, ability to handle multiple projects at a time, excellent communication and data presentation skills.
- Data Modeling, ALGORITHMS, Python, Big Query, SQL, Microsoft Excel, Microsoft PowerPoint, Statistics
- Associate Exp: Up to 2 years experience in relevant field
- Master's Degree
- Doctorate
How to apply
To apply for this job you need to authorize on our website. If you don't have an account yet, please register.
Post a resume