Data Scientist V

Start/End Dates: 11/23/2026 - 11/22/2027
Tax Work Location: US - Remote (902010)
Job Title: Data Analytics & Engineering - Data Scientist V
US - Remote (Need to be willing to work in CT or PT)
Data Analyst/DS with 8+ years of experience in analytics or data science featuring strong programming skills in Python, R, and SQL, and expertise in customer experience metrics and segmentation, statistical modeling, and proficiency in AI-powered tools for data analysis.
Job Description: Summary:
The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.
Must-Have Skills
8+ years of experience in data analytics, data science, or related fields
2+ years of experience in customer experience, customer support, customer insights analytics or marketing
Strong programming skills in Python or R, and SQL(SQL is a must have and Python OR R is also required)
Proficiency in statistical analytics techniques (e.g., correlation analysis, multivariate regression, feature-importance methods)
Proficiency in predictive analytics or ML/AI techniques
Working knowledge and proficiency in AI-powered tools & Generative AI technologies (LLMs, AI agents)
Master's or Ph.D. Degree in a quantitative field
Familiarity with consumer electronics or retail business
Experience with machine learning libraries (e.g., Pandas, scikit-learn, TensorFlow, PyTorch)
Experience working with Customer Experience or Voice of Customer (VoC) metrics (NPS, CSAT, etc.), surveys, and customer feedback
Nice to have skill
Job Responsibilities:
• Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
• Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
• Generate and test hypotheses and analyze and interpret the results of product experiments.
• Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
• Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.
Skills:
• Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau.
• The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
• Experience working with large datasets.
Education/Experience:
• Master of Science degree in computer science or in a relevant field.