analytical 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>

Data Scientist

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>

Lynker

<div>Overview:

Lynker Corporation is seeking a Marine Sensor Data Scientist &ndash; AI/ML to support NOAA Fisheries&rsquo; Southeast Fisheries Science Center (SEFSC) Fisheries Assessment, Technology &amp; Engineering Support (FATES) Division. This proposed role will manage multidisciplinary marine sensor datasets and develop, train, test, and validate advanced analytical models that improve the efficiency and utility of SEFSC science products. Hiring for this position will be contingent on contract award.
The SEFSC Advanced Technology and Innovation Branch combines emerging technologies, sensors, data systems, and analytical methods to expand scientific research capabilities. The Branch works with active and passive acoustics, multibeam systems, underwater and stereo video, environmental DNA, aerial imagery, and other data sources to develop advanced methods that support fisheries science and stock-assessment needs.
Responsibilities:
<h2 class="jobSectionHeader">Duties of the Marine Sensor Data Scientist will include the following:</h2><ul><li>
Manage and analyze marine data collected across the southeastern United States.</li><li>
Coordinate with project partners to optimize data collection and sensor configurations for artificial intelligence and machine-learning applications.</li><li>
Maintain familiarity with active and passive acoustic, multibeam, underwater video, stereo-video, environmental DNA, and aerial-image datasets.</li><li>
Assist with field-data collection as needed.</li><li>
Organize and document data and metadata using established protocols and tracking interfaces.</li><li>
Curate data in repositories, including cloud storage.</li><li>
Conduct data quality assurance and quality control and evaluate whether datasets meet criteria for advanced analyses.</li><li>
Prepare and archive datasets in accordance with government data-archiving requirements.</li><li>
Maintain an understanding of data products required to meet agency and SEFSC goals and of analytical routines used in SEFSC operations.</li><li>
Identify existing and potential datasets suitable for artificial intelligence and machine-learning tools.</li><li>
Annotate data and support model testing and training.</li><li>
Support or lead the development of machine-learning detectors and classifiers for sensor data.</li><li>
Develop, train, test, and validate analytical models.</li><li>
Generate science products that can be used by customers such as stock-assessment scientists.</li><li>
Participate in multidisciplinary working groups and collaborative projects within and outside NOAA.</li><li>
Prepare scientific proposals for extramural funding.</li><li>
Review reports, manuscripts, and scientific proposals.</li><li>
Participate in stakeholder engagement, public outreach, workshops, scientific meetings, symposiums, and public forums.</li><li>
Provide required monthly status reports and timely summaries of outreach and scientific-meeting activities.</li></ul> 
<div></div>
Qualifications:
<h2 class="jobSectionHeader">The Marine Sensor Data Scientist should have the following:</h2><ul><li>
A master&rsquo;s degree in data science, computer science, marine biology, or a related field, or an undergraduate degree with one year of relevant research experience.</li><li>
Proficiency in machine learning or other artificial-intelligence methods.</li><li>
Proficiency in software languages such as Python and R.</li><li>
Experience with Google Cloud Platform.</li><li>
Experience with cloud computing and model architecture.</li><li>
Experience with relational databases.</li><li>
Experience managing large datasets.</li><li>
Excellent written and oral communication skills.</li><li>
Ability to collaborate on large, multifaceted projects.</li></ul><h2 class="jobSectionHeader">
The ideal Marine Sensor Data Scientist will have the following preferred qualifications:</h2><ul><li>
A Ph.D. in data science, computer science, marine biology, or a related field, with experience developing machine-learning models and advanced analytical techniques.</li><li>
Experience developing and deploying artificial-intelligence or machine-learning models using cloud resources.</li></ul><h2 class="jobSectionHeader">
Work Environment</h2>
The position may be located at an SEFSC laboratory in Miami, Florida; Beaufort, North Carolina; Panama City, Florida; Pascagoula, Mississippi; or Galveston, Texas. The role includes computer-based data management, cloud computing, model development, collaborative scientific work, and potential field-data collection. Travel may be required for field activities, project meetings, workshops, scientific conferences, and public outreach. Facility access is generally available from 6:00 a.m. to 6:00 p.m., Monday through Friday. Travel and overtime must be authorized in accordance with contract requirements.<div>
About Lynker</div><div></div><div> 
Lynker is a growing, employee owned business, specializing in professional, scientific and technical services. Our continually expanding team combines scientific expertise with mature, results-driven processes and tools to achieve technically sound, cost effective solutions in hydrology/water sciences, geospatial analysis, information technology, resource management, conservation, and management and business process improvement.</div><div></div><div> 
We focus on putting the right people in the right place to be effective. And having the right people is critical for success. Our streamlined organization enables and empowers our talented professionals to tackle our customers' scientific and technical priorities &ndash; creatively and effectively.</div><div></div><div> 
Lynker offers a team-oriented work environment, and the opportunity to work in a culture of exceptionally skilled professionals who embrace sound science and creative solutions. Lynker's benefits include the following:</div><ul><li>
Comprehensive healthcare for the employee at no monthly cost</li><li>
Healthcare benefit covers medical, prescription drug, dental, and vision</li><li>
Personal Time Off (PTO) Policy plus paid holidays</li><li>
Highly competitive compensation plan regularly calibrated against industry and location benchmarks</li><li>
401(k) retirement plan with company-matching</li><li>
Employee Stock Ownership Plan (ESOP) &ndash; we're all company owners!</li><li>
Flexible spending accounts</li><li>
Employee assistance program (EAP)</li><li>
Short- and long-term disability insurance</li><li>
Life and accident insurance</li><li>
Tuition assistance/Training/Workforce improvement reimbursement per year</li><li>
Spot bonuses for exceptional performance</li><li>
Annual Employee Recognition Awards with bonuses</li><li>
Employee Referral Program</li><li>
Free centralized, self-directed Learning Management System to learn at your own pace</li><li>
Personalized career growth plans for every employee</li></ul><div>
Lynker is an E-Verify employer.</div><div></div><ul><li> 
This position is not currently funded and is contingent upon contract award. Employment is subject to successful completion of any required background checks and security processing required by the customer.</li></ul><div></div><div> 
Lynker is an equal opportunity employer and makes all employment decisions based on merit, qualifications, and business needs. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other legally protected status under federal, state, or local laws.</div></div><div></div>

Marine Sensor Data Scientist – AI/ML

Job Title: Data Scientist - Generative AI Company: C5i Location: Bangalore, India Employment Type: Full-Time Job Overview C5i, a leading pure-play AI and Analytics provider, is seeking a talented and innovative Data Scientist with a specialisation in Generative AI to join our dynamic team in Bangalore. At C5i, we combine the power of human perspective with cutting-edge AI technology to deliver trustworthy intelligence and drive business impact for some of the world’s largest enterprises. As a Data Scientist, you will be at the forefront of developing next-generation AI solutions, working with multifunctional teams to solve complex challenges for our Fortune 500 clients across Technology, Media, Pharma, CPG, and Banking sectors. This is an exciting opportunity to contribute to our proprietary, industry-recognised platforms and shape the future of AI-assisted decision-making. Responsibilities  <ul><li>Design, develop, and deploy advanced Generative AI models, including Large Language Models (LLMs) and other deep learning architectures.</li><li>Conduct research and implement state-of-the-art algorithms and techniques in Natural Language Processing (NLP), computer vision, and machine learning.</li><li>Collaborate closely with business domain experts and technical teams to translate client requirements into robust, scalable AI solutions.</li><li>Process, cleanse, and analyse large-scale datasets to train, fine-tune, and validate sophisticated models.</li><li>Evaluate model performance, conduct rigorous testing, and iterate on solutions to ensure they meet the highest standards of accuracy and efficiency.</li><li>Contribute to the enhancement of C5i’s proprietary suite of AI products, solutions, and accelerators.</li><li>Stay abreast of the latest advancements and trends in the field of Generative AI and share knowledge with the wider team.</li></ul>Qualifications  <ul><li>Proven commercial experience as a Data Scientist or Machine Learning Engineer, with a strong focus on Generative AI.</li><li>In-depth understanding of deep learning frameworks, particularly transformers, GANs, and VAEs.</li><li>Hands-on proficiency with Python and essential data science libraries such as Pandas, NumPy, and Scikit-learn.</li><li>Strong practical experience with machine learning frameworks like PyTorch, TensorFlow, and Hugging Face.</li><li>Demonstrable experience in developing and fine-tuning Large Language Models (LLMs).</li><li>Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and their associated machine learning services.</li><li>A Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field. A PhD is advantageous.</li><li>Excellent analytical and problem-solving skills with a creative and innovative mindset.</li><li>Strong verbal and written communication skills, with the ability to explain complex technical concepts to diverse audiences.</li></ul> What We Offer  <ul><li>The opportunity to work on pioneering AI projects with globally recognised, market-leading clients.</li><li>A supportive and collaborative work culture that fosters continuous learning and professional development.</li><li>The chance to be part of an organisation consistently recognised by industry analysts like Gartner and Forrester for its exceptional AI and Analytics capabilities.</li></ul>

Data Scientist - Gen AI

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>

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>

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 
</li>
<li>5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL) (or 2 years work experience and a Master's degree).</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 
</li>
<li>5 years of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems), and coding (Python, R, SQL).</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Operations Data Science (ODS) is a team of Data Scientists (Research and Analyst) experts, who provide model-based decision support to scale Google's Technical Infrastructure optimally.
If you like using data, metrics, forecasts, statistics, operations research, analytical insights, strategic thinking and executive level business communications to optimize large spend decisions on Google's technical infrastructure, then you should consider joining ODS as a Data Scientist.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
 
 
US: $138000 - $198000 (USD) + 15% bonus target + equity + benefits 
 
Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Collaborate with cross-functional stakeholders to understand their business needs and frame analytical problems.</li>
<li>Develop, maintain, support, and enhance custom forecasting and capacity planning tools for Google&rsquo;s data center infrastructure.</li>
<li>Drive analysis and modeling, drawing from multiple analytical methods and choose the right method and level of complexity appropriate for the business challenges.</li>
<li>Engage broadly to identify, prioritize, frame, and structure complex and ambiguous challenges, where data science projects or tools can have the biggest impact. Measure business outcomes driven from the analytical recommendations.</li>
<li>Articulate business questions and use mathematical techniques to arrive at an answer using data. Translate analysis results into actionable business recommendations supported by technical documentation and presentations.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Product Data Scientist, Operations

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