Experienced Full Stack Data Scientist – Web & Cloud Application Development
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.
Apply Job!
Apply for this job
**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.
Apply Job!
Apply for this job