A position at White Cap isn’t your ordinary job. You’ll work in an exciting and diverse environment, meet interesting people, and have a variety of career opportunities.
The White Cap family is committed to Building Trust on Every Job. We do this by being deeply knowledgeable, fully capable, and always dependable, and our associates are the driving force behind this commitment.
Job Summary
As a Data Scientist at White Cap, you will play a key role in our data science team, tackling business challenges using machine learning and other statistical methods. Positioned within the Strategy group, your efforts will be vital in driving insights, informing decision-making, and contributing to key strategic initiatives.
Your role involves leveraging your data science expertise to derive actionable insights from complex data sets, aiding in driving growth and operational efficiency. You will collaborate across departments, providing data-driven guidance and predictive analytics to inform critical business decisions.
In this position, you are not just analyzing data; you are shaping the way our company views and utilizes information. By promoting a data-driven culture and staying updated with the latest industry developments, you will be a driving force in keeping White Cap at the forefront of data-driven innovation. Your work will directly contribute to our business's success, making a tangible impact through the insights and recommendations you provide.
Major Tasks, Responsibilities And Key Accountabilities
- Advanced Data Analysis and Predictive Modeling : Demonstrate proficiency in Python, Databricks, PySpark, and ML Flow for complex data analysis and predictive modeling. Leverage experience in stochastic and non-stochastic prediction models, including exploratory analysis, time series forecasting, and classification tasks (both supervised and unsupervised).
- Machine Learning and Large Language Models (LLMs): Work with open-source libraries, including LLMs, Transformers, ML, and forecasting packages. Apply these models to a variety of datasets to extract insights, make predictions, and inform decision-making processes.
- Innovation and Continuous Learning : Stay updated with the latest developments in data science, machine learning, and big data technologies. Explore new tools and techniques to improve existing processes and contribute to innovation within the team.
- Data modelling and quality assurance: work with raw data to transform it into a format suitable for analysis and reporting; build pipelines that conduct data validation and implement quality controls.
- Business intelligence : Experience using BI platforms (PowerBI, Tableau) to transform data into easy-to-understand visualizations, applying necessary filters and groupings to isolate business value.
- Experimental Design and Rigor : Demonstrate strong skills in experimental design. Develop robust experiments and models with high levels of rigor to ensure accuracy, reproducibility, and reliability of results. This includes test / control baselines and performance reporting.
- Cloud Computing and Big Data Technologies : Leverage Azure Cloud services for data storage, processing, and analytics. Implement scalable solutions and manage large datasets effectively.
- Pricing expertise (as applicable): Has experience in pricing analytics, which includes product grouping methodologies, customer segmentation, price benchmarking; incorporates analytics expertise and practical business outcomes to arrive at solution.
Nature and Scope
- Demonstrates skill in data analysis techniques by resolving missing/incomplete information and inconsistencies/anomalies in more complex research/data.
- Nature of work requires increasing independence; receives guidance only on unusual, complex problems or issues. Work review typically involves periodic review of output by a supervisor and/or direct customers of the process.
- May provide general guidance/direction to or train junior level support or professional personnel.
Work Environment
- Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
- Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
- Typically requires overnight travel less than 10% of the time.
Education And Experience
Typically requires BS/BA in a related field. Generally 2-5 years of experience in a related field OR MS/MA and generally 0-2 years of experience in a related field. Certification is required in some areas.
Preferred Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
- 2-4 years of experience in pricing data modeling.
- 2-4 years of experience in data science, or related fields, with specific experience in cloud environments such as Azure, AWS, or Google Cloud.
- 2+ years’ experience managing and maintaining complex Alteryx data models
- 3 years of demonstrated Python and any other OOP (object-oriented language).
- Experience with Databricks is desirable but not required.
- Experience working with Python Data and Scientific libraries such as: Pandas, Polars, NumPy, Matplotlib.
Required
Although portfolios are not required, they are highly encouraged and will be reviewed. Please keep your portfolio in the following formats:
- Personal Websites
- GitHub repos (please make sure they are public)
- Google Colab notebooks (please make sure they are public)
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If you’re looking to play a role in building America, consider one of our open opportunities. We can’t wait to meet you.
Functional Area Marketing and Communications
Recruiter Haynes, Steven
Req ID WCJR-020673
White Cap is an Equal Opportunity Minority/Female/Individuals with Disabilities/Protected Veteran and Affirmative Action Employer. White Cap considers for employment and hires qualified candidates without regard to age, race, religion, color, sex, sexual orientation, gender, gender identity, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law.