Technology Development Program – Data Science
DICK'S Sporting Goods
Senior Data Scientist
Brightspeed
full-time
Posted on:
Location Type: Remote
Location: Remote • North Carolina • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
CloudGoogle Cloud PlatformNumpyPandasPythonScikit-LearnSQL
About the role
- Develop AI and ML solutions to drive improved business performance and efficiency across domains
- Lead end-to-end AI/ML projects from understanding business needs to data preparation, model development, solution deployment, and post-production monitoring.
- Dissect and solve complex business problems using analytical and quantitative approaches to identify patterns and correlations in large complex data sets.
- Integrate and curate data from a wide range of internal and external sources to develop rich datasets for predictive & prescriptive modeling as well as machine learning.
- Define and implement best practices to generate accurate reports, visualizations & dashboards to explain results simply and succinctly to technical and non-technical users.
- Create models for visual recognition, processing of natural language that analyze complex data to make predictions or decisions, mimicking human intelligence.
- Liaise with stakeholders to understand their needs and concerns and develop concise analytics to provide actionable insights to influence strategy and performance.
- Build partnerships, share knowledge, and deliver valuable predictive insights to inform strategic decisions, all the while highlighting potential risks and opportunities.
Requirements
- 5+ years of experience of building AI and/or machine learning models for business applications
- 3+ years of hands-on experience with training, fine-tuning, evaluating, and deploying models in production
- 3+ years of experience with data lake and cloud services, preferably GCP
- Bachelor’s degree or higher in Computer Science, Operations Research, Statistics, Mathematics or related field.
- Master’s degree strongly preferred.
- Data Science or AI certifications
- Deep expertise in machine learning, neural networks, computer vision, large language models, natural language processing or similar disciplines
- Demonstrated experience in algorithm selection, model training, feature engineering, fine-tuning performance and implementation
- Proficiency in Python and key data science libraries, including Pandas, NumPy, Scikit-learn, Matplotlib and/or Seaborn
- Strong capabilities in SQL and experience working with SQL query engines
- Experience with Data Visualization tools such as Power BI
- Expertise in Agile methodology for product and software development
- Excellent quantitative skills and data-driven decision-making capabilities
Benefits
- Competitive compensation
- Comprehensive benefits
- Health insurance
- 401K plan with company match
- Employee assistance program
- Paid time off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI solutionsML solutionsmodel developmentdata preparationpredictive modelingprescriptive modelingnatural language processingcomputer visionalgorithm selectionfeature engineering
Soft skills
analytical skillsquantitative skillsstakeholder engagementcommunication skillsproblem-solvingcollaborationstrategic thinkingdata-driven decision-makingknowledge sharingrisk assessment
Certifications
Data Science certificationAI certification
