Data Scientist II (RITM0466582) jobs in United States
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Discount Tire ยท 11 hours ago

Data Scientist II (RITM0466582)

Discount Tire is a company that has been growing for over 60 years and is looking for qualified individuals to join their team. The Data Scientist II will identify use cases, analyze large datasets, develop predictive models, and present findings to management while collaborating with various stakeholders to drive business solutions.

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H1B Sponsor Likelynote

Responsibilities

Independently builds and validates predictive models of a known issue without a defined solution, utilizing large scale data from multiple data sources and ensuring adoption of the model. Drives continuous improvement to existing models and reviews other Data Scientist and Data Scientists' models
Uses machine learning techniques to create data-driven solutions for various business use-cases
Understands business needs and identifies potential use cases in more than one business unit. Works with external partners to develop a minimal viable product to meet those needs while resolving any issues that may arise
Analysis and mining of very large quantities of data using a deep knowledge of a specific domain to find patterns and insights utilizing statistical software
Writes code for the scope of work being done. Assists in development of data science standards for the department
Collaborates with technology partners to investigate new data sources. Analyzes new data sources for availability and quality, and integrates with existing database. Performs data cleaning and data analysis
Interprets, communicates, and presents analytic results to Director-Level executives and below
Consistently collaborates with fellow data scientists and frequently interacts with business partners, project managers, cross-functional teams, key stakeholders, and other domains to build analytics capabilities and drive business value
Mentors and assists in technically supervising less experienced Data Scientists. Continually strengthens knowledge of analytical methods, vendors, and tools and shares knowledge by participating in best practice sharing opportunities
May also include other duties as needed such as design of experiments
Other duties as assigned
Defines business problems and research questions; solves highly complex work critical to the organization in collaboration with stakeholders
Integrates and extracts relevant information from large amounts of both structured data; and internal and external unstructured data to enable analytical solutions
Conducts advanced analytics leveraging predictive modeling, machine learning, data mining, data visualization, simulation, and optimization; interprets disparate data/ complex data sets/ structured and unstructured data and other techniques to deliver insights or develop analytical solutions to achieve business objectives
Develops scalable, efficient, automated solutions for large scale data analyses, model development, model validation and model implementation
Prepares and manipulates data for use in development of statistical models
Provides and supports the implementation of business solutions; summarizes and presents conclusions and solutions
Translates complex analytical and technical concepts to non-technical employees; translates into business contexts which then enables stakeholders to make informed business decisions
Identifies critical and emerging technologies that will support and extend quantitative analytic capabilities
Provides training and guidance to analytics staff
Stays current on the latest industry technologies, trends and strategies
Assists employees, vendors or other customers by answering questions related to Data Science processes, procedures and services
Completes work in a timely and accurate manner while providing exceptional customer service
Other duties as assigned

Qualification

Data Science ExperienceMachine LearningStatistical SoftwareData VisualizationPredictive ModelingPythonSQLBusiness AcumenCustomer Service SkillsCommunication SkillsTeam CollaborationProblem-Solving Skills

Required

This position requires a minimum of 5+ years of data science experience
Experience applying statistical techniques in 2+ business units or domains (marketing, pricing, supply chain, operations, etc.)
Intermediate skill in Machine Learning
3 years of programming experience in statistical software (for example Python, R, or SAS) and able to demonstrate proficiency at an intermediate level. Python is preferred
Ability to work with large data sets from multiple data sources
Ability to communicate complex analytics concepts and techniques to Director-Level and below
Ability to work collaboratively with other data scientists and multiple stakeholders across the business unit and with external partners
Intellectual curiosity, a passion for data and a results orientation
This position requires a Master's degree in a quantitative field including but not limited to data science, analytics, and statistics
This position requires a minimum of five years of progressive business intelligence analytics designing, building, and implementing business solutions using information technology
Experience developing predictive mathematical models is necessary including but not limited to, algorithm development and logic is necessary
Business acumen knowledge and understanding of business operations, challenges/ issues, priorities, goals and strategy is required
Demonstrated strong quantitative analysis experience working with large, complex datasets to aggregate, organize, and prepare data for use in business analytics is required
Experience with data integration, profiling, cleansing and normalization: structured, unstructured, 3rd party is necessary
Strong proficiency with data visualization techniques is necessary
Proven knowledge of statistical analysis and insights, including but not limited to, cluster analysis and data mining is needed
Previous experience working with Digital data assets, such as, CRM: Customer behavior and sentiment, and the impact of marketing and merchandizing on the web is necessary
Knowledge of various databases with the ability to code in Python R and SQL is required
Advanced proficiency in Microsoft Office, including Word, Excel and PowerPoint is required
Demonstrated ability to communicate across all levels of the organization is necessary; must be able to clearly articulate technical ideas to a non-technical audience both verbally and in writing
Ability to work independently and in a team is vital
The ability to multi-task and manage multiple projects to meet various deadlines simultaneously is required
The ability to work efficiently under pressure, accurately meet deadlines, present a professional demeanor and work well independently is essential
Customer service skills, including the ability to manage and respond to different customer situations while maintaining a positive and friendly attitude are essential
In addition, organizational and problem-solving skills, a can-do attitude, and the ability to adjust to changing requirements are essential
Maintaining confidentiality, treating others with respect and upholding Company values are key attributes

Preferred

Python is preferred
Domain knowledge in retail, manufacturing, store operations, automotive, real estate, or services is helpful
Machine learning and AI, including image recognition experience preferred. Ability to frame solutions to complex problems is vital
Experience with Econometrics, including but not limited to, price elasticity modeling; pricing and promotions is preferred
Experience with simulation, network optimization, and workflow analysis is preferred

Company

Discount Tire

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H1B Sponsorship

Discount Tire has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)

Funding

Current Stage
Late Stage

Leadership Team

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Andrew Haus
Chief Financial Officer
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Tom Williams
Executive Vice President & Chief Experience Officer (CXO) Customer Experience
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Company data provided by crunchbase