ConsumerAffairs

Make big purchases no big deal

Data Scientist, AI Native

Data ScientistData ScientistFull TimeRemoteTeam 201-500Since 2007H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

1 day ago

Salary

Not specified

Bachelor Degree1 yr expEnglishAWSCloudPythonPy TorchScikit LearnSQLTensorflow

Job Description

• Design and build AI-driven solutions to understand consumers and improve market performance. • Partner with engineering, product, and business leaders on predictive models and data products. • Work across the full lifecycle of AI and data science solutions—identifying opportunities, building models, and iterating based on performance. • Operate in a modern data environment with tools like AWS, Databricks, and Python. • Evaluate and apply emerging AI technologies for productivity and new capabilities. • Develop scalable data pipelines and feature engineering workflows using Python, SQL, and cloud platforms. • Own the model lifecycle—training, evaluating, monitoring, and iterating models. • Contribute to ML operations workflows, including infrastructure configuration and API development. • Communicate insights and model results clearly through dashboards and visualizations.

Job Requirements

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or a related quantitative field, or equivalent practical experience.
  • Approximately 1-3 years of experience in data science, machine learning, or applied AI roles.
  • Strong experience with Python for data science and machine learning
  • Solid experience using SQL for querying and transforming large datasets
  • Experience building data pipelines and reproducible analytics workflows
  • Experience developing and deploying machine learning models using libraries such as scikit-learn, TensorFlow, PyTorch, or similar frameworks
  • Experience working with large language models (LLMs) and generative AI tools
  • Understanding of feature engineering, model evaluation, and experimentation frameworks
  • Experience working in cloud-based environments (AWS preferred)
  • Familiarity with Databricks or similar collaborative data platforms
  • Experience with version control (Git/GitHub) and collaborative development workflows
  • Exposure to ML operations practices, including model deployment, monitoring, and API development
  • Ability to communicate complex information in a direct and actionable fashion.
  • Strong analytical and problem-solving skills.
  • Strong verbal and written communication skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
  • Ability to prioritize tasks, meet aggressive deadlines, and work independently as well as collaboratively in a team environment.
  • Stands up for decisions, takes responsibility for results, and shares both good and bad outcomes transparently.
  • Demonstrates a relentless focus on results with a commitment to deliver; always starts with a positive attitude.
  • Takes decisive action, and confidently changes course if unsuccessful.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development

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