data scientist

InterEx Group

<div>
 
 
 Data Scientist - 6 Months Contract - Texas
 
 
 
 
 
 
 I'm looking to speak to
 
 Data Scientist contractors
 
 that are looking for a new contract role from April 2026. AI backgrounds are useful.
 
 
 
 
 
 I have a number of contract positions coming up for a few clients across manufacturing and finance/banking, looking to onboard new teams in April.
 
 
 
 
 
 One stage interview processes taking place next week and first week of April.
 
 
 
 
 
 Apply via this ad and I will give you a call.
 
</div>

Data Scientist

Radiance Technologies Inc.

<div>Radiance Technologies, a rapidly growing employee-owned company, is seeking an experienced Data Scientist to support the U.S. Army Space and Missile Defense Command (USASMDC) at Peterson Space Force Base, Colorado. This position supports a customer-funded, one-year effort with an anticipated period of performance from August 1, 2026, through July 31, 2027. The selected candidate will apply advanced data analytics techniques to support national security missions by researching and analyzing structured and unstructured data, developing complex database queries, and transforming data into actionable insights. Working as part of a multidisciplinary team, the Data Scientist will collaborate with Government and contractor personnel to integrate diverse data sources, solve complex mission challenges, and communicate analytical findings and recommendations to stakeholders.
Duties and Responsibilities<ul><li>
Perform research on structured and unstructured data sources using quantitative and qualitative metadata and content analytics.</li><li>
Construct and execute complex database queries to support mission requirements.</li><li>
Collaborate across multidisciplinary teams to integrate data sources and solve mission challenges.</li><li>
Identify meaningful insights from large datasets and communicate findings and recommendations to Government stakeholders.</li><li>
Support data management activities within large-scale, enterprise data environments.</li></ul>
Required Qualifications<ul><li>
Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or another relevant STEM discipline (or equivalent experience).</li><li>
Five (5) or more years of experience as a Data Scientist or in a closely related analytical role.</li><li>
Demonstrated knowledge of computer science concepts, data architecture, intelligence practices, and managing data within big-data environments.</li><li>
Experience performing complex data analysis and database queries.</li><li>
Active Top Secret/SCI security clearance.</li></ul>
Position Duration
This position supports a customer-funded effort with an anticipated period of performance from August 1, 2026 through July 31, 2027. Employment is expected to conclude upon completion of the customer requirement. While Radiance cannot guarantee follow-on work after the period of performance, employees are welcome to apply for other open positions within the company for which they are qualified.
Salary Range
$150,000 - $175,000
Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.</div>

Brooksource

<div>
 
 
 Data Scientist
 
 
 
 
 Remote(Johnstown, PA)
 
 
 
 
 Contract to hire
 
 
 
 
 
 
 
 Job Summary
 
 
 
 Concurrent Technologies Corporation is seeking a talented and driven Data Scientist to join our Data &amp; AI Operations team. In this role, you will be responsible for collecting, analyzing, interpreting, and visualizing large datasets to uncover insights that will drive strategic business decisions. The ideal candidate will have a strong foundation in statistics, machine learning, and programming and possesses excellent problem-solving and communication skills.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Collaborate with business leaders to identify high-impact business problems and translate them into data science and data analysis projects.
 </li>
 <li>
 Collect, process, and analyze complex datasets from various sources to identify trends, patterns, and insights that inform business strategy.
 </li>
 <li>
 Develop and implement predictive models and machine learning algorithms to solve business problems, such as forecasting, customer segmentation, and optimization.
 </li>
 <li>
 Develop and maintain detailed, compelling dashboards and reports for both technical and non-technical audiences using business intelligence (BI) tools.
 </li>
 <li>
 Perform exploratory data analysis (EDA) and statistical analysis to uncover patterns, trends, and anomalies.
 </li>
 <li>
 Create clear, compelling, and actionable data visualizations and reports to communicate complex findings to both technical and non-technical audiences.
 </li>
 <li>
 Design and execute A/B tests and other experiments to measure the impact of different initiatives.
 </li>
 <li>
 Work with data engineers to build and improve data pipelines, ensuring data quality and accessibility.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 
 Education:
 
 Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics.
 </li>
 <li>
 
 Experience:
 
 3&ndash;5 years of hands-on experience in a Data Scientist or Senior Data Analyst role.
 </li>
 <li>
 
 Programming:
 
 Strong proficiency in Python (including libraries like Pandas, NumPy, and Scikit-learn), SQL, and PySpark.
 </li>
 <li>
 
 Statistics and ML:
 
 Solid understanding of statistical analysis, data mining techniques, and machine learning algorithms (e.g., classification, regression, clustering, and decision trees).
 </li>
 <li>
 
 Communication:
 
 Excellent verbal and written communication skills with the ability to tell a story with data.
 </li>
 <li>
 
 Problem-Solving:
 
 Proven ability to approach complex problems with a structured, analytical, and inquisitive mindset.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
 </li>
 <li>
 Experience with big data technologies (e.g., Spark, Hadoop).
 </li>
 <li>
 Experience with data visualization and analysis tools (e.g., Tableau, Power BI, Matplotlib, R, SAS).
 </li>
 <li>
 Experience with natural language processing (NLP) or other forms of text analysis.
 </li>
 <li>
 Knowledge of experimental design and causal inference techniques.
 </li>
 <li>
 Experience in research &amp; development, government contracting, and/or highly regulated industry domains.
 </li>
 </ul>
 
 
 
 
 What&rsquo;s in it For You&hellip;?
 
 
 Join a team dedicated to building and enhancing digital technology and directly impact the member experience and enhance how members interact with technology. Get access to Brooksource technical training meant to rapidly enhance your technical ability and a senior mentor to be your source of truth. Get your foot in the door of a massive health insurance network that is on the cusp of a massive digital revolution and create a direct impact in said revolution. Enroll in weekly paychecks, comprehensive health benefits, and more.
 
 
 
 
 
 
 About Us:
 
 
 
 
 At Brooksource, relationships are the foundation of everything we do. Since 2000, we&rsquo;ve built lasting partnerships with clients, consultants, and internal teams to deliver an exceptional experience across every engagement. As a trusted IT and Engineering services provider, Brooksource supports Fortune 500 organizations through Experience-Driven Staffing, Professional Services, and Elevate, our proprietary Workforce Transformation program. Whether you're hiring for software development, cloud computing, cybersecurity, data analytics, or enterprise IT, our customized staffing solutions are designed to align with your company&rsquo;s unique goals, culture, and technology stack. We offer flexible hiring models, including contract, contract-to-hire, and direct placement to meet your evolving business needs.
 
 
 
 
 We are a certified partner of leading platforms, including Salesforce, AWS, Microsoft, and Google Cloud, enabling us to deliver scalable, end-to-end technology solutions. With a growing national footprint, Brooksource is redefining expectations in IT consulting, engineering services, and technology workforce solutions.
 
 
 
 
 EEO Statement:
 
 
 
 
 Brooksource is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances.
 
 
 
 
 
 
 
 Benefits &amp; Perks
 
 
 
 
 Benefits &amp; Perks: Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee&rsquo;s needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.
 
 
 
 
 
 
 
 Pay Disclaimer:
 
 
 
 
 The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
 
 
 
 
 
</div>

Inabia Software & Consulting Inc.

<div>To be noted: Due to the heightened security nature of this job, there will be a background check after two rounds before offer, then final interview with client. Please send US Citizen candidates.
Role: Data Scientist 
Location: Grand-Prairie, Texas 75050 
Work Model: Onsite (4 days a week work from office Mon - Thu) 
Duration: Fulltime Employee
Numbers of Interview: 3 to 4
Mode of Interviews &ndash; Virtual
Tentative start date &ndash; ASAP
Note: Relocation assistance will be provided by Nagarro. 
USD $148,500 ($135,000 Base salary + 5% Organizational bonus + 5% Performance Bonus) + Benefits. (For the right candidate - please negotiate best, even if above $148,500, and submit)
As part of our commitment to our employees, Nagarro provides a robust benefits package for full-time employees, which includes:<ul><li>
Medical Coverage, Dental and Vision (100% Nagarro contribution for the employee, 80% contribution for immediate dependents).</li><li>
15 days of Paid Time Off (PTO).</li><li>
10 paid holidays (including 8 fixed holidays and 2 floating holidays).</li><li>
401K enrollment with a 100% employee contribution (please note that we do not provide a matching contribution).</li></ul>
Must Have:<ul><li>
5+ years of experience required as Data Scientist (No limit for a right candidate)</li><li>
Strong SQL and Python proficiency with hands-on experience in medallion/Lakehouse architectures on Databricks, Snowflake, AWS, or Azure.</li><li>
Data Science Proven track record building and deploying ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis.</li></ul> 
Job Overview:<ul><li>
Data Engineering Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake.</li><li>
Strong communicator &mdash; able to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders.</li><li>
Experience designing A/B experiments and simulations to validate process changes and quantify business impact before full deployment.</li></ul> 
Good to have skills:<ul><li>2-4 years working in manufacturing domain.</li><li>Experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP. Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with ability to bridge OT/IT systems for real-time data extraction.</li><li>Applied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency.</li></ul><ul><li>
Proficient in scikit-learn, TensorFlow, or PyTorch with experience moving models from prototype to production in industrial environments.</li><li>
Solid grounding in statistical methods &mdash; time series, regression, clustering, and hypothesis testing applied to manufacturing quality problems.</li></ul>
6YN2PCHqOY</div>

Insight Global

<div>
 
 
 Openings: 1
 
 
 
 
 Location: Charlotte, NC, 9300 Arrowpoint Blvd.
 
 
 
 
 Duration: 8-month contract
 
 
 
 
 Interview: Two rounds &ndash; Webex for 30 minutes then onsite panel
 
 
 
 
 
 
 
 Job Overview
 
 
 
 
 
 
 As a Data Scientist, you are responsible for developing data-driven solutions to Charter&rsquo;s business problems. You utilize analytical, statistical, and programming skills to clean, aggregate, and analyze large data sets and interpret results. This position requires your strong command of statistical techniques and machine learning algorithms, as well as your demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Building predictive models
 </li>
 <li>
 Estimate the long-term value of customers using regression models or survival analysis
 </li>
 <li>
 Develop recommendation systems for cross-sell or upsell
 </li>
 <li>
 Provide actionable insights to marketers and execs
 </li>
 <li>
 Knowing MPC
 </li>
 <li>
 SQL
 </li>
 </ul>
 
 
 
</div>

Wisayah Investment Company

<div>
 
 
 Role Description
 
 
 
 
 
 
 
 
 
 The Data Scientist Senior Analyst plays a key role in embedding advanced analytics and AI-enabled capabilities into day-to-day investment and operational workflows. The role combines business-facing enablement with hands-on solution development&mdash;working across teams to improve how data is used, decisions are made, and processes are executed.
 
 
 
 
 
 The position begins with a strong focus on understanding the firm&rsquo;s data ecosystem and internal workflows and evolves into designing and building scalable solutions&mdash;from workflow automation to more advanced, model-driven applications that support the firm&rsquo;s broader digital transformation.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 1. Enablement &amp; Use-Case Development
 
 
 <ul>
 <li>
 Partner with teams across front, middle, and back office to identify where automation and AI can improve real workflows.
 </li>
 <li>
 Guide business teams in designing and adopting their own enhanced workflows, providing hands-on support, frameworks, and review.
 </li>
 <li>
 Structure business problems into clearly defined use cases, including requirements, prioritization, and expected impact.
 </li>
 <li>
 Maintain and track a centralized pipeline of initiatives, including progress, adoption, and outcomes (e.g., efficiency gains, quality improvements).
 </li>
 </ul>
 
 
 
 
 
 2. Solution Development &amp; Automation
 
 
 <ul>
 <li>
 Design and build practical solutions that enhance workflows, including automation, data-driven tools, and intelligent assistants.
 </li>
 <li>
 Develop and deploy AI-supported applications (e.g., agents, document/query solutions) with appropriate controls and reliability considerations.
 </li>
 <li>
 Support implementation of retrieval and knowledge-access solutions that make internal data and content more usable.
 </li>
 <li>
 Integrate solutions with internal systems and support end-to-end automation of recurring processes.
 </li>
 </ul>
 
 
 
 
 
 3. Data Landscape &amp; Foundations
 
 
 <ul>
 <li>
 Build a deep understanding of the firm&rsquo;s data architecture, including internal systems, vendor platforms, and document repositories.
 </li>
 <li>
 Map key data sources and flows to ensure solutions are grounded in what the data can support.
 </li>
 <li>
 Identify and help address gaps in data accessibility, quality, and structure that impact analytics and automation use cases.
 </li>
 </ul>
 
 
 
 
 
 4. Stakeholder &amp; Delivery Management
 
 
 <ul>
 <li>
 Act as a bridge between business stakeholders and technical or external partners.
 </li>
 <li>
 Support delivery and implementation efforts through hands-on involvement, review, and coordination.
 </li>
 <li>
 Contribute to evaluation and onboarding of new tools and platforms, including initial assessment of data handling considerations.
 </li>
 </ul>
 
 
 
 
 
 5. Continuous Development &amp; Innovation
 
 
 <ul>
 <li>
 Stay up to date with developments in investment management, data, and applied AI.
 </li>
 <li>
 Contribute to evolving the firm&rsquo;s capabilities by progressively taking on more advanced technical and solution-building responsibilities.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Skills
 
 
 
 
 
 <ul>
 <li>
 Investment Management
 </li>
 <li>
 Business &amp; Use-Case Structuring
 </li>
 <li>
 Data Analysis &amp; Automation
 </li>
 <li>
 Workflow Optimization
 </li>
 <li>
 Stakeholder Management
 </li>
 <li>
 Communication
 </li>
 <li>
 Applied AI / Emerging Technologies
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in finance, Economics, Business, Computer Science, Management Information System or a related field.
 </li>
 <li>
 4&ndash;7 years of experience combining investment domain knowledge with hands-on analytics, automation, or AI-related work.
 </li>
 <li>
 Proven ability to deliver practical solutions (e.g., automation, reporting tools, intelligent workflows) that are adopted by end users.
 </li>
 <li>
 Strong ability to translate between business needs and technical requirements.
 </li>
 <li>
 Familiarity with tools such as SQL, Python, or similar; experience working with data-driven workflows is preferred.
 </li>
 <li>
 Strong communication skills and experience working across cross-functional teams.
 </li>
 <li>
 High ownership mindset, with comfort operating in evolving and ambiguous environments.
 </li>
 </ul>
</div>

Teledyne FLIR

<div>Be visionary
Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.
We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins. 
Job Description 
Company Overview
Teledyne Brown Engineering, Inc. is an industry leader in engineered systems and advanced manufacturing. The Company provides full-spectrum systems engineering, integration, manufacturing, and lifecycle sustainment solutions to the marine, aviation, aerospace, defense, energy, and environment markets. Teledyne Brown has expertise in systems integration, technology development, hardware design, prototype development, system test and evaluation, advanced manufacturing, performance-based logistics solutions, and operations and maintenance.
Position Background and Scope
Teledyne Brown Engineering has provided software engineering, modeling and simulation, and advanced analytics in support of DoD operational readiness since 2001.
We are seeking a Senior Data Scientist to join our Advanced Analytics team whose mission is to provide insights and solve problems in support of DoD missions and force readiness.
This team provides custom analytic findings and develops, maintains, and delivers decision support capability tools for DoD customers to include administrators and planners at Echelons I, II, and III. The primary objective of the role is to work directly with our customers to identify requirements, develop decision support tools, and support the customer community in their use of the tools.
Teledyne combines global diversity and presence with local flexibility and autonomy. Our teams are committed to shared core values: trust, transparency, and accountability within a high-performance culture. Our employees are encouraged and empowered to do their best to exceed the expectations of our customers. 
Position Summary
Teledyne is seeking a Senior Data Scientist to lead advanced analytics efforts supporting Department of Defense healthcare and readiness initiatives. The candidate will work with internal subject matter experts, data scientists, Power Platform developers, UX/UI designers, and data engineers to identify opportunities and to execute and maintain projects of executive interest.
The candidate will work with internal and external (Government) leadership, managers, and technical staff across DoD organizations and develop technical solutions for complex business and operational problems. The candidate will participate in the planning and development of data products, dashboards, predictive models, and decision support tools that enable data-driven decision-making at senior leadership levels.
This is a hybrid remote work position while residing within commuting distance of Falls Church, VA to support occasional in-person meetings. Position will require occasional travel in support of customer requirements.
Position Responsibilities<ul><li>
Work closely with customers, managers, and technical teams to define program scope, goals, and deliverables</li><li>
Lead and manage a team of data scientists and analysts to develop long-term analytic products</li><li>
Direct and execute advanced analytics, including predictive modeling, statistical analysis, and machine learning</li><li>
Develop interactive dashboards and Power Platform applications (Power BI, Power Apps, Power Automate) to deliver actionable insights and decision support capabilities</li><li>
Respond to ad hoc requests for rapid analysis to support operational and strategic decisions</li><li>
Prepare and present briefings, reports, and visualizations for senior leaders and stakeholders</li><li>
Provide leadership for multi-disciplinary teams in a collaborative environment</li><li>
Collaborate with other team leads that are geographically dispersed to align and share resources when needed</li><li>
Author and review technical documentation to ensure quality and accuracy</li><li>
Drive continuous improvement of analytic methodologies, tools, and workflows</li></ul>
Qualifications<ul><li>
Strong experience applying data science, statistics, and operations research techniques</li><li>
Proficiency in programming languages such as Python, R, SQL</li><li>
Experience developing data visualizations and dashboards</li><li>
Experience leading analytic projects and mentoring team members</li><li>
Familiarity with cloud environments (AWS, Azure)</li><li>
Experience working with DoD or Military Health System data preferred</li></ul>
Education and/or Experience
Bachelor&rsquo;s degree in Data Science, Computer Science, Engineering, Mathematics, or related field with 4+ years of relevant experience, including leadership experience. Master's degree preferred.
Strong communication skills with ability to engage stakeholders at all levels.
Possesses or is able to obtain and maintain a SECRET security clearance.
Citizenship Requirements
Due to classified work at the facility and related access restrictions, successful applicants must be U.S. citizens and must be able to gain and maintain a DoD Secret level clearance.
#TBE 
Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions.
Teledyne is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other characteristic or non-merit based factor made unlawful by federal, state, or local laws.</div>

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