Experienced Staff Data Scientist – Remote Data Analysis and Science Expert for blithequark

Introduction to blithequark

At blithequark, we are driven by a passion for harnessing the power of data to solve dynamic problems that shape the future of retail. With the sheer scale of our environment comes the largest of big data sets, offering unparalleled opportunities for innovation and growth. As a leader in the industry, blithequark is committed to empowering its team members, stores, and suppliers with technological innovation, ensuring that our customers receive the best possible experience whether they shop online or in-store.

Job Overview

We are seeking an experienced Staff Data Scientist to join our Data Ventures team, a nimble startup incubated within blithequark that is building a best-in-class suite of Data Products to deliver actionable, customer-centric insights. As a Staff Data Scientist, you will work as the tech lead for all data science-related work, focusing on Customer Data Science initiatives that drive business growth and improvement. This role offers a unique opportunity to mentor junior colleagues, implement best practices, and contribute to the development of cutting-edge data products that transform the retail landscape.

Key Responsibilities

• Data Source Identification: Understand the concerned order of requirements and service level agreements, define and identify the most appropriate resources for required data, and perform initial data quality tests on extracted data.
• Problem Formulation: Analyze business problems, question assumptions, and identify methods to solve them, setting data analytics goals and deliverables based on success criteria and outlining key metrics to measure progress and effectiveness.
• Analytical Modeling: Select suitable modeling strategies for complex problems with large-scale, multiple structured and unstructured data sets, develop variables and functions iteratively, and conduct exploratory data analysis activities.
• Model Deployment & Scaling: Work with MLOps to push ML models to production, continuously log and track model behavior, and identify model parameters that may require adjustments depending on the scale of deployment.
• Code Development & Testing: Write code to develop specified solutions and application features, create test cases to study and validate proposed solution designs, and contribute to code documentation and playbooks.
• Applied Business Acumen: Evaluate proposed business cases for projects and initiatives, influence business stakeholder decision-making, and translate business requirements into strategies, projects, and initiatives that align with business strategy and goals.
• Model Assessment & Validation: Identify and review model assessment metrics based on analytical requirements, apply appropriate techniques for model testing and tuning, and ensure testing data is documented and maintained by the team.
• Data Visualization and Storytelling: Identify and recommend the most appropriate visualization tools based on context, generate suitable graphical representations of data and model outcomes, and build compelling stories based on context to integrate multiple pieces of information into cohesive insights.

Essential Qualifications

• Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field.
• At least 4 years of experience in an analytics-related field, with deep knowledge and understanding of machine learning, statistics, and data science.
• Strong programming skills in at least one of Python or R.
• Ability to execute projects end-to-end, including junior colleagues, and implement best practices in ML Ops, coding standards, and more.
• Clear communication skills to effectively interact with business, product, and application partners.
• Ability to translate complex algorithm evaluations into simple language and present to management and external clients.

Preferred Qualifications

• Advanced degree in a related field, such as a Master's or Ph.D.
• Experience working with large-scale data sets and complex data systems.
• Knowledge of cloud-based technologies and data platforms.
• Experience with agile development methodologies and version control systems.
• Strong understanding of business acumen and the ability to drive business growth through data-driven insights.

Career Growth Opportunities and Learning Benefits

At blithequark, we are committed to the growth and development of our team members. As a Staff Data Scientist, you will have access to a wide range of training and development opportunities, including mentorship programs, workshops, and conferences. You will also have the chance to work on complex and challenging projects, collaborating with cross-functional teams to drive business innovation and improvement.

Work Environment and Company Culture

Our work environment is dynamic, fast-paced, and collaborative, with a strong focus on innovation and teamwork. We believe in empowering our team members to take ownership of their work and providing them with the resources and support they need to succeed. Our company culture is built on a foundation of respect, inclusivity, and diversity, and we are committed to creating a workplace where everyone feels valued and supported.

Compensation, Perks, and Benefits

We offer a competitive salary range of $30-40 per hour, as well as a comprehensive benefits package that includes multiple health plan options, financial benefits such as 401(k) and stock buy plans, associate discounts, education assistance, and more. We also offer a range of perks, including paid time off, parental leave, and pay during military service.

Conclusion

If you are a motivated and experienced data scientist looking for a challenging and rewarding role, we encourage you to apply for this exciting opportunity. As a Staff Data Scientist at blithequark, you will have the chance to work on complex and innovative projects, collaborate with talented teams, and drive business growth through data-driven insights. Don't miss out on this opportunity to join our dynamic and fast-paced team and take your career to the next level. Apply now to become a part of our team and help shape the future of retail!