What are the responsibilities and job description for the Data Scientist position at HPOne?
The Data Scientist is responsible for collecting, cleaning, translating data to meet the company’s needs. Every business collects data, whether it's sales figures, market research, logistics, or transportation costs. The Data Scientist will use that data and machine learning to help drive HPOne’s business plans.
What you'll do:
- Research and develop statistical learning models for data analysis
- Develop insights and deliver recommendations based on data analyses
- Work with business leaders to articulate business requirements for data analyses
- Implement new statistical or other mathematical methodologies for specific models or analyses
- Optimize joint development efforts through database use and project design
- Create automated reports and dashboard products, in order to display results to internal teams
- Develop end-customer segmentation schemes by analyzing customer behavior
- Perform ad hoc analyses and deliver recommendations
- Develop and implement predictive models like decision tree, regression using R or similar
- Communicate results and ideas to key decision makers
Required Skills/Abilities:
- Master’s Degree in Computer Science, Statistics, Applied Math or related field
- Five years’ experience with SAS (or similar), ETL, data processing, database programming and data analytics
- Experience in data mining and statistical analysis
- Able to understand various data structures and common methods in data transformation
- Excellent pattern recognition and predictive modeling skills
- Experience with programming languages such as Java / Python (or “R”)
- Experience conducting regression analyses
- Understanding of relational databases and data management as well as experience with data aggregation and normalization
- Advanced excel expertise (pivot tables, VLOOKUP, report filters, etc.)
- Ability to approach tasks strategically, while owning and mastering the details
- Exceptional problem solving, as well as analytical and strategic thinking skills
- Initiative to own projects from start to finish
- Strong oral and written communication skills, with ability to work well with people across the company at all levels
Preferred Skills/Abilities:
- Coursework in at least one of the following: mathematics, business, analytical marketing, information systems, programming/databases, statistics/statistical modeling, finance, economics, or physics
- Experience conducting analyses and building predictive models using SAS (or similar)
- Experience with business intelligence and data visualization tools preferred (like Domo or Tableau)
Physical Requirements:
- Prolonged periods of sitting at a desk and working on a computer, typically in an office or cubicle environment (constant noise, fluorescent overhead lighting)
Due to the unprecedented situation of COVID-19, HPOne has decided to protect our current and future employees by managing our business remotely. This is inclusive of interviewing, training, and day-to-day operations. We will be returning to an office setting once we are safe to do so following the guidance of local health authorities’ and the CDC. Currently all employees are working remotely. Our centers are consistent with CDC guidelines and align with local government orders pertaining to all Company physical locations in relation to COVID-19.
Equal Employment Opportunity (EEO) is a fundamental principle at HPOne, where employment is based upon personal capabilities and qualifications. HPOne does not discriminate because of actual or perceived sex, sexual orientation or preference, gender identity, gender, transgender, race, color, religion, national origin, creed, citizenship status, ancestry, age, marital status, pregnancy, childbirth or related medical conditions, medical conditions including genetic characteristics, mental or physical disability, military and veteran status, or any other protected characteristic as established by law. HPOne requires the necessary drug testing and background checks as part of our pre-employment practices. If you need assistance or an accommodation due to a disability, please contact us to request accommodation at accommodations@hpone.com