Data Scientist - All Levels

Interclypse is seeking Data Scientists.

The Interclypse difference is our emphasis on employee growth and development through continuous learning, mentorship, and empowerment. Interclypse employees grow in a positive cultivating work environment with endless career opportunities. Let Interclypse empower you by putting you in the driver's seat of your career.

Currently, Interclypse is seeking motivated, career and customer-oriented Data Scientists to join our team to provide exemplary support to our customers and to begin an exciting and rewarding career within Interclypse. As a Data Scientist, you will enjoy leading edge work developing innovative solutions to address data analytics challenges, to collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.

Requirements

Education

• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science is required.

Primary Responsibilities

Required Skills / Experience

Desired Skills / Experience

Why You Might Like This Job :

Benefits :

31 Days (248 hours) of Paid Personal Time Off (PTO) for any vacation, holidays, illnesses, and birthdays

Interclypse isn’t your typical company. We strive to have a positive & transformational impact on our community, our industry, and individuals. We keep this focus through our motto : "Doing What is Right". Apply today to see how you can join our winning team and start down the career path that’s right for you!

EOE AA M / F / Vet / Disability :

Interclypse is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

The base salary range provided is not adjusted for geographic differences associated with where the work is being performed. Actual salaries will vary depending on factors including but not limited to location, candidate’s experience and education / training, internal peer equity, and market and business consideration.