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 resolve 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. 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 will involve mentoring junior colleagues, implementing best practices, and collaborating with cross-functional teams to deliver actionable, customer-centric insights that inform business decisions.

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, identify and recommend methods to solve them, and set data analytics goals and deliverables based on success criteria.
• Analytical Modeling: Select suitable modeling strategies for complex problems, 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.
• Code Development & Testing: Write code to develop specified solutions, create test cases, and contribute to code documentation and playbooks.
• Applied Business Acumen: Evaluate proposed business cases, influence stakeholder decision-making, and translate business requirements into strategies and initiatives.
• Model Assessment & Validation: Identify and review model assessment metrics, apply appropriate testing and tuning strategies, and ensure testing data is documented and maintained.
• Data Visualization and Storytelling: Identify and recommend suitable visualization tools, generate graphical representations of data and model outcomes, and build compelling stories to integrate multiple pieces of data into cohesive insights.

Essential Qualifications

To be successful in this role, you will need:

• A 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.
• Excellent communication skills, with the ability to clearly articulate complex algorithm evaluations in simple language and present to various audiences.

Preferred Qualifications

While not essential, the following qualifications are highly desirable:

• 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, such as AWS or Azure.
• Experience with agile development methodologies and version control systems, such as Git.

Skills and Competencies

To excel in this role, you will need to possess the following skills and competencies:

• Strong analytical and problem-solving skills, with the ability to think critically and creatively.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Ability to work in a fast-paced environment, with multiple priorities and deadlines.
• Strong attention to detail, with a focus on delivering high-quality results.

Career Growth Opportunities and Learning Benefits

At blithequark, we are committed to supporting the growth and development of our team members. As a Staff Data Scientist, you will have access to:

• Opportunities for professional development and career advancement.
• Training and education programs, including workshops, conferences, and online courses.
• Mentorship and coaching from experienced colleagues and leaders.
• A collaborative and dynamic work environment that encourages innovation and creativity.

Work Environment and Company Culture

At blithequark, we pride ourselves on our positive and inclusive company culture. As a Staff Data Scientist, you will be part of a team that values:

• Diversity, equity, and inclusion, with a focus on creating a welcoming and respectful work environment.
• Collaboration and teamwork, with a emphasis on cross-functional communication and cooperation.
• Innovation and creativity, with a focus on encouraging new ideas and approaches.
• Work-life balance, with a range of benefits and programs to support your well-being and happiness.

Compensation, Perks, and Benefits

As a Staff Data Scientist at blithequark, you will be eligible for a range of benefits, including:

• Competitive salary and bonus structure.
• Comprehensive health and wellness programs, including medical, dental, and vision coverage.
• Retirement savings plans, including 401(k) and stock purchase options.
• Paid time off, including vacation, sick leave, and parental leave.
• Opportunities for professional development and education assistance.

Conclusion

If you are a motivated and experienced data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity at blithequark. As a Staff Data Scientist, you will be part of a dynamic and innovative team that is shaping the future of retail and data science. With a range of benefits, opportunities for growth and development, and a positive and inclusive company culture, blithequark is the perfect place to take your career to the next level. Apply now to join our team and start making a difference!