Are you ready to unleash your passion for data-driven innovation and shape the future of retail? Look no further! careerzynith, a global leader in retail innovation, is seeking an experienced Full Stack Data Scientist to join our Data Ventures team. As a Staff Data Scientist, you will be the tech lead for all data science-related work, focusing on Customer Data Science initiatives that drive business growth and customer satisfaction.
**About careerzynith**
careerzynith is a retail powerhouse that has revolutionized the way people shop. With a vast network of stores and e-commerce platforms, we offer an unparalleled shopping experience that caters to diverse customer needs. Our Data Ventures team is a nimble startup incubated within careerzynith, building a cutting-edge suite of data products that provide actionable, customer-centric insights to inform business decisions.
**Job Responsibilities**
As a Staff Data Scientist, you will be responsible for:
* **Data Source Identification**: Identify relevant data sources, define data requirements, and extract data for analysis. Review deliverables from junior colleagues and provide guidance.
* **Problem Formulation**: Analyze business problems, question assumptions, and identify solutions. Develop data analytics, machine learning, and automation goals, and outline key metrics to measure progress.
* **Analytical Modeling**: Select suitable modeling strategies for complex problems with multiple data sources. Develop variables and features iteratively based on model responses. Conduct exploratory data analysis, identify dimensions, and design experiments.
* **Model Deployment & Scaling**: Work with MLOps to deploy models to production, log and track model behavior, and identify parameters for adjustment.
* **Code Development & Testing**: Write code to develop solutions and application capabilities, create test cases, and validate proposed answer layouts.
* **Applied Business Acumen**: Evaluate business cases, influence stakeholder decision-making, and translate business needs into strategies and initiatives.
* **Model Assessment & Validation**: Identify and review model assessment metrics, apply testing and tuning strategies, and ensure testing records are documented.
* **Data Visualization and Storytelling**: Recommend visualization tools, generate graphical representations of data, and present insights to various audiences.
**What You'll Bring**
* Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, and 4 years of experience in an analytics-related field.
* Deep knowledge of machine learning, statistics, and data science.
* Strong programming skills in Python or R.
* Ability to execute projects from start to finish, including junior colleagues.
* Implementation of best practices in ML Ops, coding standards, and other areas.
* Clear communication with business, product, and application partners.
* Ability to translate complex algorithm evaluations into simple language.
* Ability to present to management and external clients.
**What We Offer**
* Competitive salary: $30-40/hour
* Multiple health plan options, including vision and dental plans for you and dependents
* Financial benefits, including 401(k), stock purchase plans, life insurance, and more
* Associate discounts in-store and online
* Education assistance for Associates and dependents
* Parental leave
* Pay during military service
* Paid Time Off, including vacation, sick, parental leave
* Short-term and long-term disability for when you cannot work due to injury, illness, or childbirth
**About careerzynith**
At careerzynith, we believe in empowering our customers, associates, and partners through technological innovation. Our mission is to help people save money and live better. As a Walmart associate, you'll play a vital role in shaping the future of retail, tech, merchandising, finance, and many other industries, all while impacting the lives of millions of customers worldwide.
**Join Our Team**
If you're passionate about data-driven innovation and want to make a difference in the retail industry, apply now to become a part of our Data Ventures team at careerzynith.