HTC Global Services
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Job Description Make a difference
HTC Global Services wants you. Come build new things with us and advance your career. At HTC Global you'll collaborate with experts, join successful teams, and contribute 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.
Key Responsibilities
Collaborate with business and technology stakeholders to understand current and future ML requirements
Design and develop innovative ML models and software algorithms to solve complex business problems in both structured and unstructured environments
Design, build, maintain and optimize scalable ML pipelines, architecture and infrastructure
Use machine‑learning and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy
Adapt machine learning to areas such as virtual reality, augmented reality, object detection, tracking, classification, terrain mapping, and others
Train and re‑train ML models and systems as required
Deploy ML models and algorithms into production and run simulations for algorithm development and test various scenarios
Automate model deployment, training and re‑training, leveraging principles of agile methodology, CI/CD/CT (Continuous Integration/ Continuous Deployment/ Continuous Training) and MLOps
Enable model management for model versioning and traceability to ensure modularity and symmetry across environments and models for ML systems
Skills Required
Python – Intermediate skills with Python. Daily tasks may include:
Data extraction & quality profiling
Data transformation using cleanup and normalization (aggregation with pandas)
Data visualization using statistical insights (e.g., statistical data correlations, pivot tables) to capture analytical insights for stakeholders
Forecasting – Understanding of applied statistics and exposure to analytical forecasting tools (e.g., scikit‑learn or stats models, Excel Solver and/or introductory exposure to Python or libraries such as PuLP, OR‑Tools)
Experience Required
Bachelor's degree (Engineering, Data Science, Statistics, Computer Science, or related field preferred)
Minimum of one year of recent automotive or other professional experience
Proficiency in Python for data analysis and modeling
Demonstrated ability to use AI tools effectively for research, problem‑solving, and code generation
Strong critical thinking skills to validate AI‑generated outputs and integrate them with business context
Positive attitude and strong interpersonal skills
Effective communication at various levels of the organization, including senior leadership
Strong data analysis and interpretation skills, providing actionable insights
Highly organized and able to work in a fast‑paced environment with competing priorities and diverse scopes
Results‑oriented mindset with proven ability to deliver insights on tight timelines
Experience Preferred
Launch experience in automotive new model programs
Familiarity with AI‑powered development tools (VS Code, Jupyter Notebook, GitHub Copilot, etc.)
Experience using AI models to drive research and deliver solutions
Knowledge of data processing & visualization libraries (Pandas, Numpy, Plotly, Matplotlib, Seaborn, etc.)
Experience with SQL and database querying
Knowledge of data visualization tools (Tableau, Power BI, etc.)
Basic statistical and forecasting knowledge, simulation concepts, fundamentals of optimization and scenario analysis
Exposure to scikit‑learn or stats models, Excel Solver and/or introductory exposure to Python or libraries (PuLP, OR‑Tools) is a plus
Ability to translate technical findings into executive‑ready business recommendations
Education Required
Bachelor's Degree
Responsibilities include data analytics for key launch business metrics. Key Deliverables Include, But Are Not Limited To:
Data Collection & Analysis: Collect, cleanse, and interpret data using Microsoft Excel, SharePoint/database data, utilizing Python for analytics
AI‑Assisted Research & Insights: Leverage AI models (ChatGPT, Claude, Copilot, etc.) to conduct competitive analysis, research industry trends, explore analytical methodologies, and generate data‑driven recommendations
Python Automation: Develop Python scripts to automate repetitive data processing tasks, validate data quality, and accelerate analytical workflows
Presentation Development: Create and prepare executive‑level presentations using Microsoft PowerPoint that translate complex data findings into clear business recommendations
AI‑Enhanced Deliverables: Use AI assistants to refine narratives, validate assumptions, troubleshoot code, and ensure analytical rigor in final deliverables
Business Plan Support: Support New Model Programs Business Plan Review forum with Global and Regional Directors by delivering actionable insights and data‑backed recommendations
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.
#J-18808-Ljbffr
Job Description Make a difference
HTC Global Services wants you. Come build new things with us and advance your career. At HTC Global you'll collaborate with experts, join successful teams, and contribute 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.
Key Responsibilities
Collaborate with business and technology stakeholders to understand current and future ML requirements
Design and develop innovative ML models and software algorithms to solve complex business problems in both structured and unstructured environments
Design, build, maintain and optimize scalable ML pipelines, architecture and infrastructure
Use machine‑learning and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis and others to develop and evaluate algorithms to improve product/system performance, quality, data management and accuracy
Adapt machine learning to areas such as virtual reality, augmented reality, object detection, tracking, classification, terrain mapping, and others
Train and re‑train ML models and systems as required
Deploy ML models and algorithms into production and run simulations for algorithm development and test various scenarios
Automate model deployment, training and re‑training, leveraging principles of agile methodology, CI/CD/CT (Continuous Integration/ Continuous Deployment/ Continuous Training) and MLOps
Enable model management for model versioning and traceability to ensure modularity and symmetry across environments and models for ML systems
Skills Required
Python – Intermediate skills with Python. Daily tasks may include:
Data extraction & quality profiling
Data transformation using cleanup and normalization (aggregation with pandas)
Data visualization using statistical insights (e.g., statistical data correlations, pivot tables) to capture analytical insights for stakeholders
Forecasting – Understanding of applied statistics and exposure to analytical forecasting tools (e.g., scikit‑learn or stats models, Excel Solver and/or introductory exposure to Python or libraries such as PuLP, OR‑Tools)
Experience Required
Bachelor's degree (Engineering, Data Science, Statistics, Computer Science, or related field preferred)
Minimum of one year of recent automotive or other professional experience
Proficiency in Python for data analysis and modeling
Demonstrated ability to use AI tools effectively for research, problem‑solving, and code generation
Strong critical thinking skills to validate AI‑generated outputs and integrate them with business context
Positive attitude and strong interpersonal skills
Effective communication at various levels of the organization, including senior leadership
Strong data analysis and interpretation skills, providing actionable insights
Highly organized and able to work in a fast‑paced environment with competing priorities and diverse scopes
Results‑oriented mindset with proven ability to deliver insights on tight timelines
Experience Preferred
Launch experience in automotive new model programs
Familiarity with AI‑powered development tools (VS Code, Jupyter Notebook, GitHub Copilot, etc.)
Experience using AI models to drive research and deliver solutions
Knowledge of data processing & visualization libraries (Pandas, Numpy, Plotly, Matplotlib, Seaborn, etc.)
Experience with SQL and database querying
Knowledge of data visualization tools (Tableau, Power BI, etc.)
Basic statistical and forecasting knowledge, simulation concepts, fundamentals of optimization and scenario analysis
Exposure to scikit‑learn or stats models, Excel Solver and/or introductory exposure to Python or libraries (PuLP, OR‑Tools) is a plus
Ability to translate technical findings into executive‑ready business recommendations
Education Required
Bachelor's Degree
Responsibilities include data analytics for key launch business metrics. Key Deliverables Include, But Are Not Limited To:
Data Collection & Analysis: Collect, cleanse, and interpret data using Microsoft Excel, SharePoint/database data, utilizing Python for analytics
AI‑Assisted Research & Insights: Leverage AI models (ChatGPT, Claude, Copilot, etc.) to conduct competitive analysis, research industry trends, explore analytical methodologies, and generate data‑driven recommendations
Python Automation: Develop Python scripts to automate repetitive data processing tasks, validate data quality, and accelerate analytical workflows
Presentation Development: Create and prepare executive‑level presentations using Microsoft PowerPoint that translate complex data findings into clear business recommendations
AI‑Enhanced Deliverables: Use AI assistants to refine narratives, validate assumptions, troubleshoot code, and ensure analytical rigor in final deliverables
Business Plan Support: Support New Model Programs Business Plan Review forum with Global and Regional Directors by delivering actionable insights and data‑backed recommendations
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.
#J-18808-Ljbffr