Experienced Full Stack Staff Data Scientist – Remote Data Analysis and Science Expertise for Business Growth and Development at 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 partners 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 Full Stack Staff Data Scientist to join our team, specifically within the Data Ventures crew. As a tech lead for all data science-related work, you will focus on Customer Data Science initiatives, mentoring junior colleagues, and implementing best practices across the team. This role offers a unique opportunity to work on long-term or short-term projects, driving business growth and development through data-driven insights. Key Responsibilities Data Source Identification: Understand the concerned order of requirements and service level agreements, defining and identifying the most appropriate resources for required data, and performing initial data quality tests. Problem Formulation: Analyze business problems, question assumptions, and identify methods to solve them, setting 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 logging and tracking model behavior, and identifying parameters that may require adjustments. Code Development & Testing: Write code to develop specified solutions, creating test cases, proofs of concept, and contributing to code documentation. 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, applying appropriate techniques for model testing and tuning. Data Visualization and Storytelling: Identify and recommend suitable visualization tools, generating graphical representations of data and model outcomes, and building compelling stories to integrate multiple pieces of information into cohesive insights. Essential Qualifications To succeed 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. Clear communication skills to translate complex algorithm evaluations into simple language, with the ability to present to and influence 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, cloud-based technologies, and agile development methodologies. Knowledge of data visualization tools, such as Tableau, Power BI, or D3.js. Experience with machine learning algorithms, including supervised and unsupervised learning techniques. Strong understanding of business acumen, with the ability to evaluate proposed business cases and influence stakeholder decision-making. Skills and Competencies To excel in this role, you will need to demonstrate the following skills and competencies: Strong analytical and problem-solving skills, with the ability to analyze complex data sets and identify insights. Excellent communication and presentation skills, with the ability to present complex information in a clear and concise manner. Ability to work collaboratively in a team environment, with a strong focus on mentoring and guiding junior colleagues. Strong business acumen, with the ability to evaluate proposed business cases and influence stakeholder decision-making. Ability to adapt to changing priorities and deadlines, with a strong focus on delivering high-quality results. Career Growth Opportunities and Learning Benefits At blithequark, we are committed to providing our team members with opportunities for growth and development. As a Staff Data Scientist, you will have access to: Professional development opportunities, including training and education programs. Mentorship and guidance from experienced colleagues. Opportunities to work on high-impact projects, driving business growth and development. A collaborative and dynamic work environment, with a strong focus on innovation and experimentation. Work Environment and Company Culture At blithequark, we pride ourselves on our company culture, which is built on the following values: A passion for innovation and experimentation. A commitment to excellence, with a focus on delivering high-quality results. A collaborative and dynamic work environment, with a strong focus on teamwork and communication. A dedication to diversity and inclusion, with a commitment to creating a workplace that is welcoming and inclusive to all. Compensation, Perks, and Benefits As a Staff Data Scientist at blithequark, you will be eligible for a range of compensation, perks, and benefits, including: A competitive salary, with opportunities for bonuses and stock options. A comprehensive benefits package, including health, dental, and vision insurance. A 401(k) matching program, with opportunities for retirement savings. A flexible work environment, with opportunities for remote work and flexible scheduling. Access to professional development opportunities, including training and education programs. Conclusion If you are a motivated and experienced data scientist, looking for a new challenge and opportunity to grow and develop your skills, we encourage you to apply for this role. As a Staff Data Scientist at blithequark, you will have the opportunity to work on high-impact projects, driving business growth and development, and contributing to the success of our company. Apply now to join our team and take the first step in your journey with blithequark. Apply for this job