Experienced Full Stack Data Scientist – Web & Cloud Application Development

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 crew, you'll play a vital role in shaping the future of retail by leveraging cutting-edge data science techniques to drive business decisions.

About blithequark's Data Ventures

blithequark's Data Ventures is a dynamic team that works closely with our US stores and eCommerce business to empower customers, associates, and suppliers with technological innovation. Our focus areas include customers, stores, and employees, in-store services, supplier equipment, supplier data science, and search and personalization. As a nimble startup incubated within blithequark, we're building a best-in-class suite of data products to provide actionable, customer-centric insights and help traders and suppliers make better business decisions on omnichannel 360 performance.

Job Responsibilities

As a Staff Data Scientist, you'll be responsible for:

• Data Source Identification: Identify the most relevant data sources to support business initiatives, collaborating with stakeholders to define data requirements and develop data pipelines.
• Problem Formulation: Analyze business problems, challenge assumptions, and develop data-driven solutions to drive business growth.
• Analytical Modeling: Develop and deploy machine learning models to solve complex business problems, leveraging techniques such as deep learning, natural language processing, and computer vision.
• Model Deployment & Scaling: Work with MLOps to deploy models to production, continuously logging and tracking model performance against defined metrics.
• Code Development & Testing: Write code to develop and deploy data-driven solutions, collaborating with cross-functional teams to ensure seamless integration.
• Applied Business Acumen: Evaluate business cases for initiatives and projects, influencing stakeholder decision-making and driving the execution of deliverables.
• Model Assessment & Validation: Identify and evaluate model assessment metrics, applying appropriate strategies for model testing and tuning to ensure accuracy, fit, validity, and robustness.
• Data Visualization and Storytelling: Develop compelling stories based on data insights, using visualization tools to communicate complex information to diverse audiences.

What You'll Bring

* Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, with 4+ years of experience in an analytics-related field.

• Deep knowledge of machine learning, statistics, and data science, with strong programming skills in at least one language (Python/R).
• Ability to execute projects end-to-end, implementing best practices in ML Ops, coding standards, and data quality.
• Strong communication and collaboration skills, with the ability to translate complex algorithm evaluations into clear, actionable insights.
• Experience working with cloud-based technologies, such as AWS or Azure, and familiarity with data visualization tools like Tableau or Power BI.

What We Offer

* Competitive salary range: $30-40/hour

• Comprehensive benefits package, including multiple health plan options, financial benefits, and education assistance
• Opportunities for career growth and professional development, with a focus on mentorship and knowledge sharing
• Collaborative and dynamic work environment, with a focus on innovation and experimentation
• Flexible work arrangements, including remote work options and flexible hours
• Access to cutting-edge technologies and tools, with opportunities to work on high-impact projects

Join Our Team

If you're a data enthusiast with a passion for driving business growth through data-driven insights, we invite you to join blithequark's Data Ventures team as a Staff Data Scientist. Apply now to take the first step in shaping the future of retail and driving business success through data science. Apply Job! Apply for this job