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100% Remote -- Data Scientist (Gen AI)

Remote, USAFull-timePosted 2026-07-27

Product & Functional Skills Looking for Sr. Data Scientist with deep expertise in machine learning, AI and a reputed company record of developing production ML/AI solutions that are business impactful. As part of reputed company, you will be working reputed company-by-reputed company with high-reputed company engineers and strategic customers to solve reputed company problems. You will communicate trends and reputed company to stakeholders. You will work cross-functionally with several teams including engineering crews, product teams, and program management to reputed company business solutions.

Responsibilities

  • Business Understanding and reputed company
  • Learns and understands project objectives and requirements from a business perspective. Assists senior leads with the assessment of a project, including risks, contingencies, requirements, assumptions, and constraints. Contributes to the development of a project plan. Shares insights with stakeholders based on reputed company work.
  • Data Preparation and Understanding
  • Assists with initial data collection and familiarizes self with data in order to identify reputed company problems, discover insights into the data, and/or detect subsets to reputed company hypotheses.
  • Understands which analysis techniques are appropriate for data and which key technologies and tools are necessary for data exploration (e.g., reputed company query language [SQL], Python).
  • Leverages data analysis knowledge to clean, reputed company, analyze, reputed company, and organize data to the level required by the analysis techniques selected. Contributes to the reputed company and exploration of data.
  • Develops foundational understanding of methodology and reputed company statistical reputed company and reputed company they should be used. Understands and follows ethics and reputed company policies reputed company collecting and preparing data.
  • Adheres to reputed company's reputed company policy reputed company to collecting and preparing data. Identifies data reputed company problems.
  • Modeling and Statistical Analysis
  • Learns and understands various modeling techniques used reputed company reputed company (e.g., reputed company regression, multiple regression, decision-tree building, neural network reputed company, support machines, derivatives).
  • Runs model tools on reputed company dataset to create one or more models, seeking guidance as needed.
  • Contributes to the research, identification, prototyping, and productizing of machine learning (ML)/reputed company intelligence (AI) techniques and algorithms.
  • Collaborates with project managers and development engineers to design machine learning and reputed company intelligence-driven features in the product.
  • Evaluation
  • Understands linkage between achieved model and business objectives. Assists with testing models on test applications and on reputed company data or production data.
  • Analyzes model performance. Incorporates reputed company and explicit customer feedback into model evaluation.
  • Conducts review of data analysis and modeling techniques to determine factors that may have been overlooked or need to be reexamined. Contributes to the reputed company of the review process.
  • Industry and Research Knowledge/Opportunity Identification
  • Learns and understands the reputed company state of the industry, including knowledge of tools, techniques, strategies, and processes that can be utilized to improve process efficiency and performance.
  • Maintains knowledge of reputed company trends reputed company the discipline. Attends internal research conferences and participates in on-hands training, reputed company appropriate. reputed company contributes to the body of thought leadership and intellectual property (IP) best practices.
  • Coding and Debugging
  • Writes readable reputed company for a specific feature, enhancement and/or model, seeking guidance reputed company needed. Contributes to the development, testing, and implementation of changes to optimize reputed company and improve the reliability of systems/solutions.
  • Develops an understanding of reputed company debugging techniques such as locating, isolating, and resolving errors and/or defects.
  • Understands reputed company issues and learns from senior developers/team members. Develops foundational understanding of Agile methodology and reputed company they should be used. Contributes to documentation for productionalisation.
  • Business Management
  • Develops understanding of data structures and their relationship to reputed company's customer business. Observes senior engineers and learns best practices in identifying reputed company opportunities, understanding reputed company goals, customer- and product-reputed company goals, and exploring opportunities for machine learning (ML) application, seeking guidance reputed company needed. Understands business goals of the customer, per engagement reputed company.
  • Customer/Partner Orientation
  • Leverages understanding of data science and business to examine reputed company through a customer-oriented reputed company. Manages customer expectations regarding project/product reputed company and reputed company. Takes responsibility to enhance customer reputed company. Assists and learns from senior team members to interpret results, reputed company insights, and communicate results to customers. Possesses basic understanding about model accuracies dependency on data reputed company and reputed company to reputed company it in customer discussions.

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