Introduction to Blithequark
At blithequark, we are driven by a passion for harnessing the power of data to solve complex problems and shape the future of retail. With the largest of big data sets at our disposal, we are committed to empowering our team members, stores, and suppliers with technological innovation. Our mission is to help people save money and live better, and we believe that data science and analytics are key to achieving this goal. As a Staff Data Scientist at blithequark, you will play a vital role in driving business decisions and shaping the future of retail.
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. You will mentor junior colleagues, implement best practices, and develop and deploy machine learning models that solve complex business problems.
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 need adjustments depending on the scale of deployment.
- Code Development & Testing: Write code to develop the specified solution and application features, create test cases to study and validate the proposed solution design, 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 and initiatives that align with business strategy and goals.
- Model Assessment & Validation: Identify and review model assessment metrics based on analytical requirements, apply appropriate methods 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 data 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, etc.
- Clear communication skills to speak with business, product, and application partners, and ability to translate complex algorithm evaluations into simple language.
Preferred Qualifications
- Advanced degree in a related field, such as a Master's or Ph.D.
- Experience working with large datasets 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.
- Strong understanding of business acumen and ability to influence business stakeholder decision-making.
Career Growth Opportunities and Learning Benefits
At blithequark, we are committed to helping our associates grow and develop in their careers. As a Staff Data Scientist, you will have access to a wide range of training and development opportunities, including:
- Professional development courses and certifications in data science and analytics.
- Mentorship programs that pair you with experienced data scientists and leaders.
- Opportunities to work on high-impact projects that drive business growth and improvement.
- Collaboration with cross-functional teams, including business, product, and engineering.
- Access to cutting-edge technologies and tools, including machine learning and data science platforms.
Work Environment and Company Culture
At blithequark, we are proud of our company culture, which is built on a foundation of integrity, respect, and teamwork. We believe in creating a work environment that is inclusive, diverse, and supportive, where associates can thrive and grow in their careers. As a Staff Data Scientist, you will be part of a dynamic and collaborative team that is passionate about using data science and analytics to drive business decisions and shape the future of retail.
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, including vision and dental plans for you and your dependents.
- Financial benefits, including 401(k), stock buy plans, life insurance, and more.
- 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.
Conclusion
If you are a motivated and experienced data scientist who is passionate about using data to drive business decisions and shape the future of retail, we encourage you to apply for this exciting opportunity at blithequark. As a Staff Data Scientist, you will be part of a dynamic and collaborative team that is committed to using data science and analytics to drive business growth and improvement. Apply now to join our team and start your journey with blithequark!
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