Job Details
Job Location
8400 E PRENTICE AVE FL9 - GREENWOOD VILLAGE, CO
Remote Type
Optional Work from Home
Position Type
Full Time
Salary Range
$70,000.00 - $90,000.00 Salary/year
Description
As a Data Scientist I, you will join a dynamic team leveraging data to drive business decisions. Your responsibilities will include understanding business projects, querying and analyzing data, executing and evaluating A/B tests, and communicating insights. You will also support machine learning and automated intelligence initiatives.
Principal Job Duties:
- Learn and Apply Best Practices: Acquire knowledge in data science and business best practices.
- Data Exploration and Analysis: Extract data from our data warehouse, conduct exploratory data analyses, work with the reporting team to create automated dashboards, and communicate insights effectively.
- A/B Testing: Set up, execute, and analyze A/B tests, and interpret results based on guidance from Data Science leadership.
- Pipeline Ownership: Manage data processing, analytic, and ML pipelines, ensuring data quality and reliable execution.
- Collaboration and Communication: Contribute to a positive work environment with a constructive attitude and effective communication with data colleagues and other departments
Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the job. This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers and filing cabinets. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to sit, stand and walk. This position may be required to sit, stand or walk for extended periods of time.
Qualifications
Qualifications:
- Technical Skills: Fluent in SQL and Python (or R with a willingness to learn Python).
- Data Handling: Comfortable with pandas (or equivalent in R) and sklearn.
- Visualization Tools: Familiarity with PowerBI or Tableau.
- Statistical Analysis: Understanding of A/B testing and statistical methods.
- Personal Attributes: Positive attitude, hard-working, receptive to feedback, and a willingness to learn from mistakes.
- Version Control: Experience with GIT.
- Code Quality: Experience writing modular, production-ready code.
- Big Data Tools: Familiarity with Databricks and PySpark.
- GIS Experience: Knowledge of GIS, especially the ArcGIS Python API.
Education and Experience
- Degree: Master’s or Bachelor’s degree in a STEM discipline.
- Experience: No prior work experience required; 0-3 years of relevant experience is acceptable.
FLSA Status: Exempt
Benefits
- 100% paid medical/vision/dental for employee only plans with up to $2,400 funding towards HSA.
- 401(K) with employer match.
- Employee Assistance Program.
- A positive work culture of high integrity team members.
- Opportunities for career development and training.
- A healthy work life balance including quarterly wellness days.
Visa sponsorship is not currently available. Only permanent residents and US citizens will be considered.
NSA OP, LP is an equal opportunity employer. Employment and promotional decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information or status as a covered veteran or any other basis of discrimination prohibited by applicable local, state, or federal law. No question in our application process is used for the process of limiting or excluding any applicant's consideration for employment on such grounds.
The above statements are intended to describe the general nature and level of work for the position. They are not to be construed as an exhaustive list of all the responsibilities, duties, and skills required. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. All job descriptions are subject to change. Job functions and/or responsibilities can be amended at any time at management’s discretion.