Interclypse is hiring for an entry level Data Scientist roles (at all levels) in US

Position:

• Data Scientist – All Levels

Company:

• Interclypse

Location:

• United States (Federal)

Job type:

• Full-time

Job mode:

• Onsite

Job requisition id:

• Not specified

Years of experience:

• Open to candidates at all professional stages, including recent graduates and those with minimal to extensive experience (0-5 years)

Company description:

• Interclypse is a technology-focused organization dedicated to delivering advanced data analytics and innovative solutions to federal customers. The company champions a culture of continuous learning, mentorship, and empowerment, enabling employees to take ownership of their career trajectories. Through a supportive environment, Interclypse fosters growth by offering structured learning opportunities, access to cutting-edge data processing tools, and a hands-on approach to complex mission challenges. The organization’s mission centers on “Doing What is Right,” which reflects its commitment to ethical practices, community engagement, and delivering high-quality services. By blending a positive work culture with a collaborative atmosphere, Interclypse creates pathways for team members to expand their technical expertise in areas such as machine learning, statistics, data modeling, and cloud computing. In addition to professional development, the company prioritizes employee well-being through comprehensive benefits, flexible time-off policies, and opportunities for career mentorship. Whether working alongside peers on multidisciplinary projects or engaging directly with stakeholders, employees are encouraged to contribute innovative ideas and leverage their skills to make a tangible impact on mission-critical initiatives. This environment appeals to individuals seeking stability, growth, and a chance to apply their data science talents to real-world problems in the public sector.

Profile overview:

• As a Data Scientist at Interclypse, you will assume a central role in designing and implementing data-driven solutions that address federal mission priorities. In this position, you will be responsible for coordinating efforts to gather and process vast amounts of structured and unstructured data from a variety of sources. This entails developing data ingestion pipelines, executing data cleansing and normalization routines, and applying statistical techniques to extract actionable insights. You will collaborate closely with engineers, domain experts, and end users to translate business or mission requirements into technical specifications, ensuring solutions align with stakeholder needs. Your day-to-day responsibilities will involve selecting and applying appropriate algorithms for tasks such as classification, regression, clustering, and anomaly detection. You will also develop visualization tools or dashboards that effectively communicate findings to non-technical audiences, enabling decision-makers to act on evidence-based recommendations. A key facet of this role is staying current with advancements in machine learning frameworks, data management platforms, and cloud services. By crafting innovative approaches to semantic data extraction and predictive modeling, you will help Interclypse maintain its reputation for delivering cutting-edge analytics solutions. Moreover, you will participate in code reviews, contribute to the enhancement of best practices, and mentor junior team members, thereby strengthening the overall data science capability within the organization.

Qualifications:

• Education:

  • Bachelor’s, Master’s, or Ph.D. degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science, or a related quantitative discipline is required.

• Technical expertise:

  • Proficiency in SQL-based relational databases. Familiarity with PostgreSQL or Amazon Aurora for designing and querying data models, creating optimized schemas, and performing complex joins and aggregations.

  • Strong programming experience using languages such as R, Python, or Java. Ability to develop, test, and maintain production-quality scripts and applications for data processing, statistical analysis, and algorithm development.

  • Practical knowledge of NoSQL databases, such as MongoDB or Accumulo, including an understanding of document-oriented storage, indexing strategies, and performance considerations for non-relational data models.

• Cloud and operating systems:

  • Hands-on experience working in cloud computing environments like AWS or Azure. Ability to deploy, manage, and optimize data pipelines, storage buckets, and computing clusters in a distributed setting.

  • Familiarity with Linux-based operating systems. Comfortable navigating command-line interfaces, managing file systems, writing shell scripts, and handling permissions and user roles in a multi-user environment.

• Analytical and problem-solving skills:

  • Deep understanding of statistical and mathematical concepts. Capability to design experiments, apply inferential statistics, and derive meaningful conclusions from complex datasets.

  • Proficiency in developing and implementing data processing algorithms. Experience with crafting data transformation logic for cleansing, normalizing, and feature engineering to prepare datasets for modeling.

  • Ability to conceptualize and articulate strategies for extracting semantic value from large collections of heterogeneous data, leveraging techniques such as natural language processing, graph-based methods, or semantic annotation.

• Interpersonal and communication skills:

  • Excellent verbal and written communication abilities. Comfortable presenting technical findings to both technical and non-technical stakeholders, producing clear documentation, and collaborating across cross-functional teams.

  • Strong teamwork orientation. Willingness to engage with data scientists, software engineers, program managers, and end users, demonstrating flexibility and professionalism in a dynamic environment.

  • Persistence and resilience when facing challenging problems. Ability to work independently or as part of a team to iterate through multiple solutions until achieving the desired outcome.

• Additional capabilities:

  • Familiarity with RESTful API design and implementation. Experience creating endpoints, handling authentication, and integrating data services through HTTP-based interactions.

  • Understanding of data catalogs, metadata management, and best practices for data governance, enabling standardized access and retrieval of information across projects.

  • Experience with data visualization tools such as Tableau or building custom dashboards using libraries like Plotly or D3.js to facilitate intuitive exploration of analytical results.

  • Knowledge of RDF/OWL, SPARQL, or other Semantic Web technologies. Ability to model domain knowledge, ontologies, or taxonomies to support advanced reasoning and knowledge representation.

  • Experience with distributed computing frameworks like Hadoop and MapReduce. Familiarity with job scheduling, cluster resource management, and performance tuning for large-scale data processing tasks.

  • Exposure to advanced machine learning libraries and frameworks, including TensorFlow or PyTorch. Capability to design, train, and deploy deep learning models for tasks like image recognition, natural language processing, or time-series forecasting.

  • Understanding of Spark or similar big data analytics platforms. Ability to write efficient distributed data processing code, optimize memory and compute resources, and implement scalable data processing pipelines.

  • Experience or interest in contributing to a culture of continuous improvement. Willingness to engage in code reviews, maintain version control, and adopt agile methodologies to enhance project delivery and team productivity.

Additional info:

• Why you might appreciate this opportunity:

  • Desire to escape the constraints of a large, bureaucratic organization. Interclypse offers a more agile environment where individual contributions are visible and valued.

  • Preference for working within a stable, established company culture that emphasizes employee development and long-term career paths.

  • Enthusiasm for collaborating with a group of passionate colleagues who enjoy building innovative solutions and thrive on solving complex problems.

  • Interest in joining a team committed to positively impacting federal missions through data-driven insights and ethical decision-making.

  • Aspiration to enhance managerial or technical leadership skills. Opportunity to take on mentorship roles, lead smaller project teams, or specialize in emerging data science domains.

  • Value placed on a robust feedback loop, where mentorship is available both for technological advancement and for broader business knowledge.

  • Attraction to an organization that actively cultivates a supportive culture of continuous learning, peer encouragement, and recognition of individual achievements.

• Benefits and employee support:

  • Employee Impact Program: A unique initiative allowing each team member to identify and propose contributions that enhance the company’s strategic goals. Successful proposals can lead to tangible rewards, reinforcing a sense of ownership over the organization’s direction.

  • Flexible time-off and leave policies designed to support work-life balance. Employees receive a generous 248 hours of Paid Time Off (PTO) annually, encompassing vacations, holidays, sick days, and personal events such as birthdays.

  • Parental Leave: 40 hours to support growing families during significant life events.

  • Bereavement Leave: 24 hours to provide compassionate time off following the loss of a loved one.

  • Military Reserve Leave: Up to 80 hours for employees serving in the reserves, ensuring compliance with federal regulations and support for service commitments.

  • Jury Duty Leave: 16 hours, allowing team members to fulfill civic duties without financial penalty.

  • Retirement Benefits: Unlimited 401(k) matching contributions up to 8% of the employee’s salary, capped annually by federal guidelines, to bolster long-term financial security.

  • Health Insurance: Full premium coverage for medical, dental, and vision plans. Employees can select from a range of provider networks and plan tiers based on individual needs.

  • Health Savings Account (HSA): Company contributions of $750 for individuals and $1,500 for family coverage, empowering employees to manage healthcare expenses more effectively.

  • Vision and Dental Coverage: Additional standalone benefits, including orthodontic services, to address routine and specialized oral care needs.

  • Life and Accidental Death & Dismemberment Insurance: Basic employer-paid policies, with options to purchase supplemental coverage for enhanced protection.

  • Disability Coverage: Both short-term and long-term disability insurance provided, safeguarding income continuity during medical disruptions.

  • Educational Support: Tuition reimbursement of up to $5,250 per calendar year to encourage pursuit of advanced degrees, certifications, or specialized training relevant to professional development.

  • Company Apparel Allowance: Annual stipend of $200 to acquire branded clothing or gear, fostering a sense of unity and company pride.

  • Social Events and Team Building: Regular gatherings, including holiday celebrations, spring and fall picnics, and informal happy hours, to strengthen interpersonal connections and promote a cohesive work environment.

  • Commitment to diversity, equity, and inclusion: As an Equal Opportunity/Affirmative Action employer, Interclypse ensures all qualified applicants receive consideration without bias. The company actively promotes a workplace free from discrimination based on race, color, religion, gender identity, sexual orientation, national origin, disability, or veteran status.

  • Transparent salary structure: Base compensation ranges are determined without geographic adjustments. Factors such as location, relevant experience, educational background, internal equity, and prevailing market trends influence actual salary offers. Prospective employees are encouraged to discuss specific pay expectations during the recruitment process.

  • Mission-driven culture: The guiding principle “Doing What is Right” underscores every decision, project, and client interaction, ensuring ethical conduct, stakeholder trust, and long-term organizational health.

Please click here to apply.

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