Data Scientist
*Note: Please disregard any compensation estimates that may be provided by linkedin or any other source. These statistics are auto-generated and not accurate*
No matter who you are, Pax8 is a place you can call home! We know there’s no such thing as a “perfect" candidate - Nor do we look for the right "fit" with us, 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 where there are a diversity of perspectives, in hopes that we can all thrive in an inclusive environment.
Pax8 is proud to be a Colorado-Grown business that is expanding all over the globe! We have offices in Greenwood Village, Colorado Springs and Florence, CO. While we are in the process of building offices in Georgia and Texas as well, Pax8 is fully embracing the Hybrid work life synergy! We encourage all applicants authorized to work in the US to apply regardless of location as nearly all of our roles can be remote!
Position Summary:
The Data Scientist works on existing components of our data and analytics pipeline, as well as exploring new tools or frameworks that drive analytical value for Pax8. They develop and maintain new data extraction pipelines between internal and external data sources into Pax8 data stores, owning high priority reporting requests when needed, and designing machine learning products to support Pax8's initiatives and products.
Essential Responsibilities (includes, but is not limited to):
- Work with stakeholders to determine the desired feature set and develop stable and scalable solutions
- Participate in project planning and architecture discussions
- Assist reporting and analytics users when data warehouse features are needed, or complex reporting challenges arise
- Work on comprehensive data science solutions, which may include data extraction, preprocessing, predictive modeling, and interoperability with other Pax8 products
- Design and develop machine learning models to support Pax8's business needs. This involves researching the feasibility of projects, gathering and extraction of features, and robust validation and testing when selecting models
- Create descriptive reports and visualizations detailing the performance of machine learning projects
- Make updates and improvements to data science infrastructure and deployment processes
Ideal Skills, Experience, and Competencies:
- At least two (2) years of related Data Science experience
- Expertise in SQL, Python (pandas, scikit-learn, keras, flask, etc.)
- Experience with data extraction and processing frameworks like Spark, Kafka, Airflow, etc.
- Experience with Docker or other containerization technologies preferred
- Solid understanding of statistical methods
- Experience with machine learning models and libraries, as well as knowledge about what models to use for a given problem, and how to improve model performance
- Ability to effectively communicate project results to stakeholders
- Ability to take on new opportunities and touch challenges with a sense of urgency, high energy, and enthusiasm
- Ability to build partnerships and work collaboratively with others to meet shared objectives
- Ability to make sense of complex, high quantity, and sometimes contradictory information to effectively solve problems
- Ability to actively learn through experimentation when tackling new problems, using both successes and failures as learning fodder
- Ability to anticipate and adopt innovations in business-building digital technology applications
Required Education & Certifications:
- A./B.S. in related field or equivalent work experience required
- Technical Master’s degree in related field or equivalent work experience required
- Ph.D. in related field or equivalent work experience preferred
Compensation:
- Qualified candidates can expect a salary beginning at $100,000 or more depending on experience
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*Note: Compensation is benchmarked on local Denver Metro area market rates. Qualified candidates in other locations can expect a salary package that may be adjusted based off applicable cost of wages in their respective location.
At Pax8 we believe that your Total Rewards should include a benefits package that shows how much we value our greatest assets. All FTE Pax8 people enjoy the following benefits:
- 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
Pax8 is the leading value-added cloud-based SaaS distributor, simplifying the cloud journey for our partners by integrating technology, business intelligence and proactive service to deliver an unparalleled experience. Serving thousands of partners through the indirect sales channel, our mission is to be the world’s favorite place to buy cloud products. We are a fast-growing, dynamic and high-energy startup organization, allowing you to make a meaningful impact on the business. Culture is important to us, and at Pax8, it’s business, and it IS personal. We are passionate, creative and humorously offbeat. We work hard, keep it fun, and expect the best.
Pax8 not only wins numerous awards in our field but we have time and again been voted among the best places to work in Denver. We are committed to our goal of being the #1 employer of choice!
We Elev8 each other. We Advoc8 for our partners. We Innov8 continuously. We Celebr8 life.
Pax8 is an EEOC Employer.