Join careerzynith, a leading retail corporation, in shaping the future of retail through innovative data-driven solutions. As a Staff Data Scientist, you will be part of the Data Ventures team, working closely with US stores and eCommerce business to empower customers, associates, and suppliers with technological innovation.
**About careerzynith**
careerzynith is a multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores. With a presence in over 27 countries, careerzynith is one of the world's largest retailers, employing over 2.2 million associates worldwide. Our mission is to help people save money and live better – this guiding principle influences every decision we make, from responsible sourcing to sustainability.
**About Data Ventures**
Data Ventures is a nimble startup incubated within careerzynith, building a best-in-class suite of data products to provide actionable, customer-centric insights and support traders and suppliers in making better business decisions on omni-channel 360 performance. Our focus areas include customers, stores, and employees, in-store services, supplier equipment, supplier data science, and search and personalization.
**Job Responsibilities**
As a Staff Data Scientist, you will be responsible for leading data science initiatives, mentoring junior colleagues, and implementing best practices across the team. Your key responsibilities will include:
* **Data Source Identification**: Identify the most relevant data sources, define data requirements, and perform preliminary data quality checks.
* **Problem Formulation**: Analyze business problems, question assumptions, and recommend solutions to drive business impact.
* **Analytical Modeling**: Develop and deploy machine learning models, conduct exploratory data analysis, and create continuous, online learning frameworks.
* **Model Deployment & Scaling**: Work with MLOps to push ML models to production, continuously log and track model performance, and identify model parameters for adjustments.
* **Code Development & Testing**: Write code to develop specified solutions, create test cases, and validate proposed answer layouts.
* **Applied Business Acumen**: Evaluate business cases, influence stakeholder decision-making, and translate business requirements into strategies and initiatives.
* **Model Assessment & Validation**: Identify and review model assessment metrics, apply testing and tuning strategies, and ensure testing records are documented and maintained.
* **Data Visualization and Storyteller**: Recommend visualization tools, generate graphical representations of data, and build compelling stories to combine multiple data points into cohesive insights.
**What You'll Bring**
* Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field
* 4 years of experience in an analytics-related field
* Deep knowledge and expertise in machine learning, statistics, and data science
* Strong programming skills in at least one of Python or R
* Ability to execute projects end-to-end with junior colleagues
* Implement best practices in ML Ops, coding standards, etc.
* Clearly communicate with business, product, and application partners
* Ability to translate complex algorithm evaluations into simple language
* Ability to present to management and external clients
**What You'll Get**
* Competitive salary range: $30-40/hour
* Multiple health plan options, including vision & 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
**Why Join careerzynith?**
At careerzynith, we're committed to helping people save money and live better. As a Staff Data Scientist, you'll play a vital role in shaping the future of retail, tech, merchandising, finance, and more – all while affecting the lives of millions of customers worldwide. Join our team and be part of a dynamic, innovative, and collaborative environment that values diversity, inclusion, and employee growth.
**How to Apply**
If you're passionate about data science, innovation, and retail, we encourage you to apply for this exciting opportunity. Please visit our website to submit your application and join the careerzynith team.