No matter who you are, Pax8 is a place you can call home. We know there’s no such thing as a “perfect" candidate, so we don’t look for the right "fit" – instead, we look for the add. We encourage you to apply for a role at Pax8 even if you don’t meet 100% of the bullet points. We believe in cultivating an environment with a diversity of perspectives, in hopes that we can all thrive in an inclusive environment.
We are only as great as our people. And we have great people all over the world. No matter where you live and work, you’re a part of the Pax8 team. This means embracing hybrid- and remote-work whenever possible.
Position Summary:
The Sr. Data Scientist I designs, develops, tests, deploys, maintains, and improves comprehensive data science solutions. They deliver individual projects based upon deadlines and required deliverables. The Sr. Scientist builds complex models independently and collaborates with other teams to conduct model reviews. They develop and/or provide technical leadership in the development of machine learning models involving the application of new methods with significant technical risk. The Sr. Scientist prepares detailed plans, which may span over a year for complex projects. They determine model philosophy, goals, and objectives, and participate in the formation of project goals, scope, and schedule.
Essential Responsibilities:
- Develops comprehensive data science solutions
- Architects and builds machine learning infrastructure, deployment, and monitoring
- Mentors junior and mid-level Data Scientists
- Includes testing in all aspects of the development process
- Participates in project planning and architecture discussions
- Leads the adoption of new data science techniques and technologies
- Works with stakeholders to determine the desired feature set and develop stable and scalable solutions
- Creates descriptive reports and visualizations detailing the performance of advanced analytics projects
- Analyzes potential problems and finds solutions to pressing data issues
- Participates in on-call rotation
Ideal Skills, Experience, and Competencies:
- At least four (4) years of relevant data science experience
- Advanced experience with the Python data science stack (pandas, scikit-learn, keras, etc.)
- Expert experience with SQL
- Intermediate experience with Apache Spark or other distributed processing engines
- Advanced experience with supervised and unsupervised machine learning models
- Advanced experience with statistical methods
- Effective problem solving and troubleshooting abilities
- Ability to consistently achieve results, even under tough circumstances
- Effective technical leadership abilities
- Excellent verbal and written communication skills
- Experience with innovative application design and implementation
- Ability to make sense of complex, high quantity, and sometimes contradictory information to effectively solve problems
Required Education & Certifications:
- M.S./M.A. degree in a technical field; or equivalent work experience
- Ph.D. degree in a technical field preferred
Compensation:
- Qualified candidates can expect a compensation range between $135,0000- $170,000 or more depending on experience
Will you now or in the future require Pax8 to commence (“sponsor”) or transfer an immigration case (such as an H-1B Visa, L-1 Visa, etc.) to employ you, commonly known as “sponsorship”? Please note, Pax8 currently is unable to consider applicants who require the sponsorship of a new employment-based visa or the transfer of an existing employment-based visa for this position. Pax8 remains committed to complying with all legal requirements and thank you for your understanding in this matter.
Expected Closing Date: 2/26/24
#LI-Remote #LI-DS1
- Non-Commissioned Bonus Plans or Variable Commission
- 401(k) plan with employer match
- Medical, Dental & Vision Insurance
- Employee Assistance Program
- Employer Paid Short & Long Term Disability, Life and AD&D Insurance
- Flexible, Open Vacation
- Paid Sick Time Off
- Extended Leave for Life events
- RTD Eco Pass (For local Colorado Employees)
- Career Development Programs
- Stock Option Eligibility
- Employee-led Resource Groups
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