Experienced Full Stack Data Scientist – Web & Cloud Application Development
**Join careerzynith, a leading retail company, and be part of a dynamic team that's revolutionizing the way people shop and live.**
Are you a data enthusiast with a passion for driving business growth through data-driven insights? Do you have a knack for developing innovative solutions that transform the retail landscape? If so, we want to hear from you! careerzynith is seeking an experienced Full Stack Data Scientist to join our Data Ventures team, where you'll play a critical role in shaping the future of retail through data-driven decision making.
**About careerzynith**
careerzynith is a retail giant that's committed to helping people save money and live better. With a presence in over 27 countries, we're one of the world's largest retailers, employing over 2.2 million associates worldwide. Our mission is to provide our customers with the best possible shopping experience, and we're always looking for talented individuals like you to help us achieve this goal.
**About Data Ventures**
Our Data Ventures team is a cutting-edge group of data scientists, engineers, and analysts who work together to develop innovative data products that drive business growth and improve customer experiences. We're a nimble team that's incubated within careerzynith, and we're building a suite of data products that provide actionable, customer-centric insights to our stakeholders. Our focus areas include customers, stores, employees, in-store services, supplier equipment, supplier data science, and search and personalization.
**Key Responsibilities**
As a Full Stack Data Scientist on our Data Ventures team, you'll be responsible for:
* **Data Source Identification**: Identifying the most relevant data sources for our projects, defining data requirements, and performing preliminary data quality checks.
* **Problem Formulation**: Analyzing business problems, identifying root causes, and developing solutions that drive business growth and improve customer experiences.
* **Analytical Modeling**: Developing and deploying machine learning models to solve complex business problems, working with large-scale, multi-structured data sets.
* **Model Deployment & Scaling**: Deploying models to production, monitoring performance, and identifying areas for improvement.
* **Code Development & Testing**: Writing code to develop and deploy solutions, testing and validating models, and contributing to code documentation.
* **Applied Business Acumen**: Evaluating business cases, influencing stakeholder decision making, and translating business needs into solutions.
* **Model Assessment & Validation**: Evaluating model performance, identifying areas for improvement, and ensuring that models are accurate, reliable, and scalable.
* **Data Visualization and Storytelling**: Developing data visualizations and stories that communicate complex insights to stakeholders, and guiding junior team members on data visualization best practices.
**What You'll Bring**
* Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field.
* 4+ years of experience in an analytics-related field, with a strong background in machine learning, statistics, and data science.
* Strong programming skills in Python or R, with experience in developing and deploying machine learning models.
* Ability to execute projects from start to finish, with a focus on delivering high-quality results.
* Experience with MLOps, coding standards, and data visualization best practices.
* Excellent communication and collaboration skills, with the ability to work with cross-functional teams and stakeholders.
* Ability to translate complex algorithm evaluations into simple language, and to present insights to senior stakeholders.
**What We Offer**
* Competitive salary range: $30-40/hour.
* Comprehensive benefits package, including multiple health plan options, financial benefits, and education assistance.
* Opportunities for career growth and professional development, with a focus on mentoring and training junior team members.
* Collaborative and dynamic work environment, with a focus on innovation and experimentation.
* Flexible work arrangements, including remote work options and flexible hours.
**How to Apply**
If you're a motivated and talented data scientist who's passionate about driving business growth through data-driven insights, we want to hear from you! Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you!
Apply for this job
Are you a data enthusiast with a passion for driving business growth through data-driven insights? Do you have a knack for developing innovative solutions that transform the retail landscape? If so, we want to hear from you! careerzynith is seeking an experienced Full Stack Data Scientist to join our Data Ventures team, where you'll play a critical role in shaping the future of retail through data-driven decision making.
**About careerzynith**
careerzynith is a retail giant that's committed to helping people save money and live better. With a presence in over 27 countries, we're one of the world's largest retailers, employing over 2.2 million associates worldwide. Our mission is to provide our customers with the best possible shopping experience, and we're always looking for talented individuals like you to help us achieve this goal.
**About Data Ventures**
Our Data Ventures team is a cutting-edge group of data scientists, engineers, and analysts who work together to develop innovative data products that drive business growth and improve customer experiences. We're a nimble team that's incubated within careerzynith, and we're building a suite of data products that provide actionable, customer-centric insights to our stakeholders. Our focus areas include customers, stores, employees, in-store services, supplier equipment, supplier data science, and search and personalization.
**Key Responsibilities**
As a Full Stack Data Scientist on our Data Ventures team, you'll be responsible for:
* **Data Source Identification**: Identifying the most relevant data sources for our projects, defining data requirements, and performing preliminary data quality checks.
* **Problem Formulation**: Analyzing business problems, identifying root causes, and developing solutions that drive business growth and improve customer experiences.
* **Analytical Modeling**: Developing and deploying machine learning models to solve complex business problems, working with large-scale, multi-structured data sets.
* **Model Deployment & Scaling**: Deploying models to production, monitoring performance, and identifying areas for improvement.
* **Code Development & Testing**: Writing code to develop and deploy solutions, testing and validating models, and contributing to code documentation.
* **Applied Business Acumen**: Evaluating business cases, influencing stakeholder decision making, and translating business needs into solutions.
* **Model Assessment & Validation**: Evaluating model performance, identifying areas for improvement, and ensuring that models are accurate, reliable, and scalable.
* **Data Visualization and Storytelling**: Developing data visualizations and stories that communicate complex insights to stakeholders, and guiding junior team members on data visualization best practices.
**What You'll Bring**
* Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field.
* 4+ years of experience in an analytics-related field, with a strong background in machine learning, statistics, and data science.
* Strong programming skills in Python or R, with experience in developing and deploying machine learning models.
* Ability to execute projects from start to finish, with a focus on delivering high-quality results.
* Experience with MLOps, coding standards, and data visualization best practices.
* Excellent communication and collaboration skills, with the ability to work with cross-functional teams and stakeholders.
* Ability to translate complex algorithm evaluations into simple language, and to present insights to senior stakeholders.
**What We Offer**
* Competitive salary range: $30-40/hour.
* Comprehensive benefits package, including multiple health plan options, financial benefits, and education assistance.
* Opportunities for career growth and professional development, with a focus on mentoring and training junior team members.
* Collaborative and dynamic work environment, with a focus on innovation and experimentation.
* Flexible work arrangements, including remote work options and flexible hours.
**How to Apply**
If you're a motivated and talented data scientist who's passionate about driving business growth through data-driven insights, we want to hear from you! Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you!
Apply for this job