Experienced Full Stack Data Scientist – Web & Cloud Application Development
Join arenaflex, a leading retail corporation, as a Staff Data Scientist in our Data Ventures team. As a key member of our crew, you will play a vital role in shaping the future of retail by leveraging your expertise in data science, machine learning, and analytics to drive business growth and customer satisfaction.
About arenaflex
arenaflex is a global retail leader that operates a chain of stores and e-commerce platforms, offering a wide range of products to customers worldwide. Our mission is to help people save money and live better, and we strive to achieve this by providing an exceptional customer experience, innovative products, and a commitment to sustainability.
About Data Ventures
Our Data Ventures team is a dynamic and agile group that works closely with our US stores and e-commerce business to empower customers, employees, and suppliers with technological innovation. We focus on areas such as customer data science, in-store services, supplier equipment, and search and personalization. Our goal is to build a world-class suite of data products that provide actionable, customer-centric insights and help business leaders make better decisions on omnichannel 360 performance.
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 relevant data sources, define data requirements, and perform preliminary data quality checks.
- Problem Formulation: Analyze business problems, question assumptions, and recommend solutions using data analytics, machine learning, and automation.
- Analytical Modeling: Develop and deploy machine learning models, conduct exploratory data analysis, and create data visualizations to communicate insights to stakeholders.
- Model Deployment & Scaling: Work with MLOps to deploy models to production, track model performance, and identify areas for improvement.
- Code Development & Testing: Write code to develop and test data science solutions, create test cases, and contribute to code documentation.
- Applied Business Acumen: Evaluate business cases, influence stakeholder decision-making, and translate business needs into data science solutions.
- Model Assessment & Validation: Evaluate model performance, apply testing and tuning strategies, and ensure testing records are documented.
- Data Visualization and Storytelling: Create data visualizations, develop compelling stories, and present insights to various audiences.
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, with a strong background in machine learning, statistics, and data science.
- Strong programming skills in Python or R, with experience in data visualization tools such as Tableau or Power BI.
- Ability to execute projects from start to finish, implement best practices in ML Ops, and communicate complex ideas to non-technical stakeholders.
- Experience with cloud-based platforms, such as AWS or Azure, and containerization tools, such as Docker.
What You'll Get
* 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.
- Collaborative and dynamic work environment with a team of experienced data scientists and analysts.
- Flexible remote work options, with the ability to work from home or our offices in Connecticut, USA.
How to Apply
If you're passionate about data science, machine learning, and analytics, and want to join a dynamic team that's shaping the future of retail, apply now! Apply for this job