Experienced Staff Data Scientist for Remote Data Entry Jobs – Leading Retail Data Science and Analytics Expert

Introduction to blithequark At blithequark, we are passionate about harnessing the power of data science to drive business growth, improve customer experiences, and shape the future of retail. As a leader in the industry, we recognize the importance of leveraging data-driven insights to inform our decisions and stay ahead of the curve. Our team is dedicated to empowering associates, stores, and suppliers with technological innovation, and we are now seeking an experienced Staff Data Scientist to join our crew. Job Overview As a Staff Data Scientist at blithequark, you will play a critical role in leading our data science initiatives, mentoring junior colleagues, and implementing best practices across the team. You will work closely with our US stores and eCommerce business to better serve customers, drive business growth, and improve operational efficiency. This is a remote opportunity, offering you the flexibility to work from anywhere in the United States, with a focus on Connecticut. Key Responsibilities Data Source Identification: Understand the requirements and service level agreements, define and identify the most appropriate data sources, and perform initial data quality tests. Problem Formulation: Analyze business problems, identify and recommend solutions, set analytics goals and deliverables, and quantify business impact. Analytical Modeling: Select suitable modeling strategies, develop variables and functions, conduct exploratory data analysis, and create continuous, online models. Model Deployment & Scaling: Work with MLOps to push ML models to production, log and track model behavior, and identify parameters that may need 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 visualization tools, generate graphical representations of data and model outcomes, and build compelling stories to integrate multiple pieces of information 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 a deep 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, multiple established and unstructured data sources, and streaming data. Knowledge of advanced machine learning algorithms, artificial intelligence, and deep learning techniques. Experience with data visualization tools, such as Tableau, Power BI, or D3.js. Strong business acumen, with the ability to influence stakeholder decision-making and drive business growth. Skills and Competencies To succeed 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 business problems and develop effective solutions. Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams and stakeholders. Strong programming skills, with the ability to write clean, efficient, and well-documented code. Ability to work in a fast-paced environment, with multiple priorities and deadlines. Strong business acumen, with the ability to understand business requirements and develop solutions that drive business growth. Career Growth Opportunities At blithequark, we are committed to helping our associates grow and develop their careers. As a Staff Data Scientist, you will have access to a range of training and development opportunities, including: Professional development courses and workshops. Mentorship programs, with experienced data scientists and leaders. Opportunities to work on high-impact projects, with visibility and recognition across the organization. Access to cutting-edge technologies and tools, with the ability to develop new skills and expertise. Work Environment and Company Culture At blithequark, we are proud of our company culture, which is built on a foundation of integrity, respect, and inclusivity. We believe in creating a work environment that is supportive, collaborative, and empowering, with opportunities for growth and development. As a Staff Data Scientist, you will be part of a dynamic and innovative team, with a passion for data science and analytics. Compensation, Perks, and Benefits We offer a competitive salary range of $30-40 per hour, with a range of benefits and perks, including: 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, pay during military service, and paid time off. Short-term and long-term disability benefits, for when you cannot work due to injury, illness, or childbirth. Conclusion If you are a motivated and experienced data scientist, with a passion for driving business growth and improving customer experiences, we encourage you to apply for this exciting opportunity. As a Staff Data Scientist at blithequark, you will be part of a dynamic and innovative team, with access to cutting-edge technologies, training and development opportunities, and a range of benefits and perks. Don't miss out on this chance to shape the future of retail and take your career to the next level. Apply now to join our team and start making a difference! Apply for this job