HTC Global Services

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.

Description:

• Responsible for developing AI related enhancements for Purchasing PDO team and proficient in managing supplier related functional enhancements infusing AI to the processes.
• Collect, clean, and preprocess large and complex datasets from various sources.
• Applying various Deep learning networks, statistical techniques, explore and experiment on new models through research papers or via various frameworks.
• Understanding, transforming large scale data to usable form for modelling, filtering data with generalization for later use, Cross-validating models for the requirements.
• Interact with internal stakeholders to understand the business problems and automate / solve widely varying Purchasing business needs within 1-2 weeks from beginning of requirement to delivery.
• Recommend and justify the algorithms to implement for the problems at-hand.
• Enhance deep learning networks with multi-GPU and multi-node capabilities.
• Supplier relationship framework assessment and build a survey to integrate with GDIA.
• Perform exploratory data analysis (EDA) to understand data characteristics, identify patterns, and formulate hypotheses.
• Design and execute A/B tests or other experimental designs to evaluate the impact of new features or strategies.
• Monitor model performance in production and iterate on models to improve accuracy and efficiency.
• Stay up to date with the latest research and developments in data science, machine learning, and related fields, and evaluate their potential application.
• Help IT teams to develop a quick proof-of-concept to validate the concept and establish feasibility.

Skills Required:

• Bachelor's, Master's, in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
• 4+ years of experience working as a Data Scientist or in a similar role.
• Strong proficiency in at least one major programming language used in data science (Python, Java, R).
• Proven experience in developing and implementing solutions using Large Language Models (LLMs) and core Machine Learning techniques.
• Solid experience with data manipulation and analysis libraries (e.g., pandas, NumPy in Python; dplyr, data.table in R).
• Expertise in SQL for querying and manipulating databases.
• Demonstrated experience developing and applying various machine learning algorithms (e.g., regression, classification, clustering, tree-based methods, ensemble methods).
• Understanding of statistical concepts and their application (hypothesis testing, confidence intervals, experimental design).
• Experience with data visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly in Python; ggplot2 in R; Tableau, Power BI).
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
• Strong problem-solving skills and the ability to think critically and creatively.

Skills Preferred:

• Experience with big data technologies (e.g., Spark, Hadoop, Hive).
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and their data/ML services.
• Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, Keras).
• Experience deploying machine learning models into production environments.
• Knowledge of Automotive supply chain process.
• Experience with MLOps practices and tools.
• Contributions to open-source projects or publications in relevant fields.

Experience Required:

• 4+ years of experience working as a Data Scientist, AI/ML Developer or in a similar role.

Education Required:

• Bachelor's, Master's, in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.

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.

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