HTC Global Services is looking for consultants to predict and/or extract meaningful trends/patterns/recommendations from raw data, leveraging data science methodologies including Machine Learning (ML), predictive modeling, math, statistics, advanced analytics, etc.
Requirements
- Machine Learning (ML)
- predictive modeling
- math
- statistics
- advanced analytics
- Data Modeling
- ALGORITHMS
- Python
- Big Query
- SQL
- Microsoft Excel
- Microsoft PowerPoint
- Statistics
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.
- 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
- 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.
Other
- 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.
- 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.
- 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.
- Master's Degree
- Doctorate
