Data Scientist - All Levels

August 29, 2026

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Description:

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

Engage in 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.
To succeed in this position; you need to be curious, creative, and tech-savvy.
You need to stay up to date with data processing software and algorithms, have an in-depth understanding of statistics and mathematics and be proficient in writing data processing algorithms.
You must be persistent and have excellent analytical and problem-solving skills.
Devise strategies for extracting semantic value from large datasets.
Develop conclusions from data using mathematics, statistics, computer science, and application specific knowledge and concisely communicate these conclusions.
Provide informed recommendations regarding competing technical solutions through awareness of the constantly shifting collections, processing, storage and analytic capabilities and limitations.

Required Skills/Experience

Experience with SQL databases and data models (e.g., PostgreSQL , Amazon Aurora)
Experience with programming in R, Python, Java
Experience with NoSQL databases ( e.g., MongoDB, Accumulo)
Experience designing data models and approaches
Experience working in a cloud environment ( e.g., AWS, Azure)
Experience with Linux
Excellent interpersonal skills and ability to get along with data scientists, engineers, and customers at all levels
Ability to work in a dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environment

Desired Skills/Experience

Experience with programming in TensorFlow, PyTorch
Experience with Hadoop, MapReduce
Experience with Tableau
Experience with Cognos
Experience with designing, implementing, and using REST APIs
Experience with RDF/OWL, SPARQL, and Semantic Web technologies
Experience with Statistical and ML analytics and modeling (e.g., R, Spark, etc.) or other deep learning frameworks a plus
Experience with Data catalogs and data management
Ability to help visualize the data for analysis and to display results

Why You Might Like This Job:

You’re tired of working for a massive organization.
You want to work for an established company that values your stable career.
You want to work with a team who loves their job and making cool stuff.
You want to be part of a team focused on making a positive impact.
You want to grow your skills in management or work toward becoming an expert.
You want to have the option for career mentorship, both in technology and in business.
You value a company with a strong culture of growth and support.

Benefits:

Employee Impact Program. Every employee has the opportunity to define and get rewarded for their contributions they can make toward the long-term health of the company, customer, and employee. This program in combination with our comprehensive time off and leave programs allow you to design a career and compensation program that enables near infinite flexibility while ensuring both company, customer, and individual health and prosperity.
Comprehensive time off and leave programs:
- 31 Days (248 hours) of Paid Personal Time Off (PTO) for any vacation, holidays, illnesses, and birthdays
- Parental Leave: 40 Hours
- Bereavement Leave: 24 hours.
- Military Reserve Leave (up to 80 hours, see employee handbook for details).
- Jury Duty Leave 16 hours.
Retirement: Unlimited 401K match up to 8% of your salary up to the federal maximum
Health Insurance (Medical, Dental, Vision): Premium is 100% company paid (contact us for specific plan details).
Health Savings Account (HSA): Interclypse contributes $750 for individuals and $1500 for families
Vision Insurance
Dental Insurance includes orthodontics coverage
Life Insurance
Accidental Death and Dismemberment Insurance
Disability: Short-term and long-term disability coverage
Educational support: reimbursement up to the federal max of $5,250
Company apparel: $200 for company apparel each year
Social events: Holiday Party, Spring Picnic, Fall Picnic, happy hours and more

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.

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