Data Scientists Analysts

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.

Skills Required

• Python, GCP, SQL, Data Analysis
  
  

Experience Required

• Master’s degree in Statistics, Data Science, Econometrics, Engineering, Physics, or related quantitative field or a combination of education and equivalent work experience
• 3+ years of hands-on experience on a broad range of analytical techniques including forecasting, regression, and AI/ML/LLM methodologies
• Strong understanding of machine learning algorithms, techniques, and frameworks, including deep learning, neural networks, and ensemble methods.
• 3+ years of proficient experience in training, evaluating, and fine-tuning a variety of machine learning models, ensuring optimal performance and reliability
• 3+ years of experience and proficient in programming languages such as Python for data manipulation, analysis, and model development
• 3+ years of experience in processing large, high-dimensional structured and unstructured data, including thorough data preprocessing, data cleaning, and feature engineering to prepare datasets for model training and evaluation
  
  

Experience Preferred:

• Ph.D. in a quantitative field such as Statistics, Data Science, Econometrics, Engineering, Physics, or related quantitative field
• 3+ experience GCP (Google Cloud Platform): Vertex AI, Big Query, GCS (Google Cloud Storage), Google Cloud SQL, Looker studio
• 3+ year of post-graduate work experience in auto industry involving complex quantitative analytics and modeling
• 5+ years of work experience with Python and SQL
• 5+ years of work experience in big data manipulation, statistical analysis, modeling, optimization, AI/ML/LLM…
• Curious, high level of initiative, detail-oriented and ability to multi-task
• Fast learning in theoretical modeling and coding
• Strong problem formulation and problem solving skills
• Comfortable working in an environment where problems are not always well-defined
  
  

Education Required:

• Master's Degree
  
  

Additional Information

• Support regional CSM (Customer Satisfaction Model) model framework design/development, model maintenance, model enhancement and model daily monitoring using Looker Studio.
• Support RAV annual count forecast taking into consideration of various factors such as brand, fuel type, launch type, new car sales, and macro environment… in addition to various types of RAV origination.
• Support RAV Root Cause analysis by studying repair order and warranty claim history to derive and identify potential drivers/trend for RAV
• Conduct various deep-dive analysis on RAV vehicles to help identify/detect early indication of RAV and uncover/provide insights to business to prevent/reduce RAV
• Conduct quick turn-around studies to answer frequent/various/urgent business requests by mining, managing, and exploring a variety of data sources and extracting/deriving insights from structured and unstructured data sets that are often very large and high-dimensional
• Explore/apply the most relevant quantitative modeling techniques and tools in statistical analysis, econometrics, operation research/optimization, AI/ML/LLM techniques to a variety of real-world business problems within FCSD focusing on improving RAV and service quality
• Ensure overall quality of the data and solutions throughout the analytics development process
• Maintain and enhance existing quantitative models supporting FCSD daily decisions
• Integrate validation result and visualize analysis/prediction result through visualization tools to provide qualitative/quantitative overview
• Interact/collaborate effectively cross-functionally with a variety of architect, project manager, DE, SE, and other data scientists to test data and model pipeline, validate pipeline output to ensure successful model launch into production environment to maximize business value delivery
• Independently and clearly communicating and presenting/interpreting models and analytical results
  
  

Our success as a company is built on practicing inclusion and embracing diversity. HTC Global Services is committed to providing a work environment free from discrimination and harassment, where all employees are treated with respect and dignity. Together we work to create and maintain an environment where everyone feels valued, included, and respected. At HTC Global Services, our differences are embraced and celebrated. HTC is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills, and experiences within our workforce. HTC is proud to be recognized as a National Minority Supplier