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Experienced Full Stack Data Scientist – Web & Cloud Application Development at blithequark

Remote, USA Full-time Posted 2026-06-17

Are you a data enthusiast with a passion for driving business growth through data-driven insights? Do you have a knack for developing innovative solutions that transform the retail landscape? If so, we invite you to join blithequark's Data Ventures team as a Staff Data Scientist. As a key member of our team, you will play a vital role in shaping the future of retail by leveraging your expertise in data science, machine learning, and cloud computing.

About blithequark

At blithequark, we are committed to empowering our customers, associates, and suppliers with innovative technologies that drive growth and profitability. Our Data Ventures team is a nimble startup incubated within blithequark, building a world-class suite of data products that provide actionable, customer-centric insights and help traders and suppliers make better business decisions on omni-channel 360 performance.

Job Responsibilities

As a Staff Data Scientist at blithequark, you will be responsible for:

  • Data Source Identification: Identify and extract relevant data sources, perform preliminary data quality tests, and review deliverables from junior team members.
  • Problem Formulation: Analyze business problems, identify root causes, and recommend solutions that drive business growth and profitability.
  • Analytical Modeling: Develop and deploy machine learning models, conduct exploratory data analysis, and create data visualizations to communicate insights to stakeholders.
  • Model Deployment & Scaling: Work with MLOps to push ML models to production, continuously log and track model performance, and identify areas for improvement.
  • Code Development & Testing: Write code to develop and deploy data solutions, create test cases, and contribute to code documentation and playbooks.
  • Applied Business Acumen: Evaluate business cases, influence stakeholder decision-making, and drive the execution of deliverables.
  • Model Assessment & Validation: Identify and evaluate model assessment metrics, apply testing and tuning strategies, and ensure testing records are documented and maintained.
  • Data Visualization and Storytelling: Develop data visualizations, create compelling stories, and present insights to various audiences.

What You'll Bring

* Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field.

  • 4+ years of experience in an analytics-related field, with a strong background in machine learning, statistics, and data science.
  • Proficiency in programming languages such as Python, R, or SQL.
  • Experience with cloud computing platforms, such as AWS or Azure.
  • Strong communication and collaboration skills, with the ability to work with cross-functional teams.
  • Ability to execute projects from start to finish, with a focus on delivering high-quality results.

What We Offer

* Competitive salary range of $30-40/hour.

  • Comprehensive benefits package, including multiple health plan options, financial benefits, and education assistance.
  • Opportunities for career growth and professional development.
  • Collaborative and dynamic work environment.
  • Flexible remote work arrangements.

About blithequark

At blithequark, we are committed to creating a workplace that is inclusive, diverse, and supportive of our associates' well-being. We offer a range of benefits and programs that promote work-life balance, including:

  • Multiple health plan options, including vision and dental plans for you and your dependents.
  • Financial benefits, including 401(k), stock purchase plans, and life insurance.
  • Associate discounts in-store and online.
  • Education assistance for associates and dependents.
  • Parental leave and paid time off, including vacation, sick, and parental leave.
  • Short-term and long-term disability for when you cannot work due to injury, illness, or childbirth.

How to Apply

If you are a motivated and talented data scientist looking to join a dynamic team that is shaping the future of retail, we invite you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. Apply for this job

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