Compensation Pay Range :
$104,000.00 - $130,000.00
This position is responsible for designing, evaluating, and creating systems to support data science projects across the O'Reilly organization, as well as expanding and optimizing our data and data pipeline architecture.
This includes data cleansing, preparation, and ETL. The ideal candidate will identify and work with the appropriate technology and software engineering solutions to facilitate machine learning and analytic pipeline deployment.
ESSENTIAL JOB FUNCTIONS
Move, structure, encode, and condense data from disparate database systems and formats.
Identify, design, and implement internal process improvements such as, automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
Create data tools for analytics and data science team members that assist them in building and optimizing solutions to become an innovative industry leader.
Evaluate performance of machine learning systems and work with data scientists to improve quality.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Develop software solutions with a focus on maintainability and modularity.
SKILLS / EDUCATION / KNOWLEDGE / EXPERIENCE / ABILITIES
Required : Bachelor’s degree
Bachelor’s degree
2+ years of practical experience with ETL, data processing, database programming and data analytics
Strong knowledge of Python; including Pandas, Numpy, SciKit-Learn, and experience with notebooks such as Jupyter
Demonstrable knowledge of software design and engineering best practices
Experience working with large-scale distributed data systems
Excellent written and verbal communication skills
Desire to work in a dynamic and collaborative environment
Desired :
Experience with machine learning and modeling techniques such as regressions, clustering, classification, random forests, gradient boosting, etc.
including optimization of models and statistical evaluation of modela
Experience with statistical analysis of data
O’Reilly Auto Parts has a proven track record of growth and stability. O’Reilly is full of successful career stories and believes in a strong promote-from-within philosophy, encouraging you to grow your career along with the organization.
Total Compensation Package :
Competitive Wages & Paid Time Off
Stock Purchase Plan & 401k with Employer Contributions Starting Day One
Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)
Team Member Health / Wellbeing Programs
Tuition Educational Assistance Programs
Opportunities for Career Growth
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