senior scientist

Applied Research Associates, Inc

<div>ARA&rsquo;s IntraRisk Group is seeking a senior scientist to work with a multidisciplinary team to develop and implement engineering computer models for high wind hazards, structural response, and loss estimation. The successful candidate for this position will have a strong background in hurricane, flood, and/or tornado modeling and interest in using such models for insured loss estimation.
The IntraRisk Group is based in Raleigh, NC. Remote work may be considered for the right candidate.
What you will do as a senior scientist:
<ul><li>Develop and use engineering computer codes such as wind/storm surge/wave hazard models and engineering fragility models for wind loading effects.</li>
<li>Process and interpret property insurance exposure data for input to HurLoss, ARA&rsquo;s hurricane catastrophe loss model.</li>
<li>Work with end users to understand how HurLoss can be used to support their catastrophe modeling needs.</li>
<li>Apply probability and statistics in engineering.</li>
<li>Lead multiple projects and interact with current and prospective clients.</li>
<li>Lead marketing/business development activities in one or more client areas.</li>
<li>Document work and write technical reports.</li>
</ul>Senior scientist required skills:
<ul><li>Comprehensive understanding and use of building codes/analysis methods.</li>
<li>Strong problem-solving, oral, and written communication skills.</li>
<li>Ability to clearly communicate with collaborators and ask for assistance when needed.</li>
<li>Attention to detail and desire to learn from mentors.</li>
<li>Strong self-starter with the ability to pick up new technologies quickly.</li>
<li>Strong technical writing skills.</li>
<li>Agility, poise, focus, and communication skills are a must.</li>
</ul>Senior scientist position requirements:
<ul><li>Bachelor&rsquo;s degree or higher in Civil/Structural Engineering, Atmospheric Science, Meteorology, or related field. Advanced degree preferred.</li>
<li>At least 8 years of relevant experience, including at least 2 years of experience in catastrophe modeling and property insurance risk modeling. Advanced degree may be considered in partial fulfillment of the experience requirement.</li>
<li>At least one course in computer programming and relevant experience in developing computer codes (e.g., FORTRAN, C, C++, and/or Python) for natural hazard risk assessment.</li>
<li>Candidates selected may be subject to a government security investigation and must meet the eligibility requirements for access to classified information.</li>
</ul>About us:
ARA is an employee-owned scientific and engineering company founded in Albuquerque, NM in 1979. ARA is known for providing technically superior solutions to complex and challenging problems in the physical sciences. We employ over 2,200 professionals and continue to grow. ARA offices throughout the U.S. and Canada provide a broad range of technical expertise in defense, civil, and health technologies, computer software, and simulation, systems analysis, environmental technologies, and testing and measurement.
The IntraRisk Group is an internationally recognized leader in the modeling and simulation of extreme natural events such as hurricanes, tornadoes, straight winds, and storm surge. We provide high wind risk assessment services for government agencies as well as the property insurance, nuclear power, offshore energy, and engineering design industries. To find out more about the IntraRisk Group, visit our website at: Natural Disaster Risk Assessment &amp; Consulting - ARA.
Our culture supports career advancement and rewards innovation, self-motivation, and technical excellence. We offer a highly competitive compensation and benefits package, including employee stock ownership, performance bonuses, and professional development.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities 
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.</div>

Senior Scientist

Stott and May

<div>
 
 Senior Data Scientist
 
 
 
 Manufacturing | Azure, Databricks &amp; Microsoft Fabric
 
 
 
 
 
 
 Our manufacturing client is looking for a
 
 Senior Data Scientist
 
 to help build data-driven solutions that improve operations and support business decision-making. You'll work with cross-functional teams to develop predictive models, analyze manufacturing data, and deliver insights using a modern Microsoft technology stack.
 
 
 
 
 
 Responsibilities
 
 <ul>
 <li>
 Develop machine learning models and analytical solutions to solve business problems.
 </li>
 <li>
 Analyze manufacturing, operational, and supply chain data to identify trends and opportunities.
 </li>
 <li>
 Build predictive models for forecasting, optimization, and operational reporting.
 </li>
 <li>
 Work with business stakeholders to understand requirements and translate them into data science solutions.
 </li>
 <li>
 Collaborate with Data Engineers to prepare and transform data for modeling.
 </li>
 <li>
 Present findings and recommendations to technical and non-technical audiences.
 </li>
 <li>
 Support the deployment and ongoing improvement of machine learning models.
 </li>
 </ul>
 
 
 
 
 Required Skills
 
 <ul>
 <li>
 5+ years of experience as a Data Scientist.
 </li>
 <li>
 Strong Python and SQL skills.
 </li>
 <li>
 Experience building and deploying machine learning models.
 </li>
 <li>
 Hands-on experience with
 
 Azure Databricks
 
 .
 </li>
 <li>
 Experience with
 
 Microsoft Fabric
 
 or other Microsoft analytics tools.
 </li>
 <li>
 Experience working with Azure cloud services.
 </li>
 <li>
 Strong understanding of statistics, predictive modeling, and data analysis.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 </ul>
 
 
 
 
 
 Fully Remote
 
 
 
 
 12-month contract with possible extension
 
 
 
 
 40hr/week
 
 
 
 
 95-125/hourly W2 or LLC
 
 
 
 (There are
 
 no
 
 C2C options for this role)
 
 
 
 
</div>

Senior Data Scientist

TANGENTTECH

We have an immediate opening for a Senior Data Scientist with one of our clients. If your candidate's experience aligns with the requirements below, please reply with your updated resume, contact number, and a convenient time to discuss the opportunity.Role: Senior Data ScientistDuration: 12+ months Location: Remote role EST hoursVisa: GC/USC is preferred but H1B works too.Role Type: Individual Contributor (Business‑Facing)Job OverviewWe are seeking a seasoned Senior Data Scientist for an urgent contract to support critical GTM, Marketing, and Customer Success initiatives. This is not a product engineering role. It is a business‑facing, analytics‑driven position focused on developing, enhancing, and operationalizing lead scoring and propensity‑to‑buy models that directly influence revenue‑generating teams. The ideal candidate combines strong machine‑learning expertise with exceptional business communication skills and can operate independently in a fast‑paced, cross‑functional environmentKey Responsibilities:<ul><li>Partner closely with GTM, Marketing, and Customer Success teams to understand business goals and translate them into actionable data science solutions</li><li>Build, refine, and operationalize lead scoring, propensity‑to‑buy, and other commercial ML models using Salesforce data, third‑party data providers, and enterprise data sources</li><li>Maintain and enhance existing ML models to ensure continuity, stability, and improved performance</li><li>Create clear business and technical artifacts, including</li></ul>&Oslash; Data flows&Oslash; Customer archetypes&Oslash; Model outputs&Oslash; Analytical insights and recommendations<ul><li>Communicate model results and data‑driven insights in simple, non‑technical language tailored for business audiences</li><li>Collaborate with external data vendors to evaluate, integrate, and manage third‑party datasets</li><li>Work independently to quickly understand existing pipelines, ramp up fast, and contribute immediately</li></ul>Required Skills &amp; Experiencs<ul><li>Strong business communication skills &mdash; able to engage independently with GTM, Marketing, Customer Success, data vendors, and cross‑functional teams.</li><li>Nice to have is experience building propensity‑to‑buy, lead scoring, conversion likelihood, or similar commercial ML models.</li><li>Hands‑on experience with Snowflake Cortex ML or similar ML platforms.</li><li>Advanced proficiency in SQL, Python, and Jupyter Notebooks.</li><li>Experience operationalizing models using Salesforce and enterprise data sources.</li><li>Ability to quickly understand existing models and enhance them without disrupting production workflows.</li><li>Demonstrated ability to produce clear business‑facing documentation and technical artifacts</li><li>Comfortable working in a large‑scale, cross‑functional environment with multiple stakeholders.</li></ul>Ideal CandidateA senior, business‑savvy data scientist who thrives at the intersection of analytics, machine learning, and GTM strategy. Someone who can communicate clearly, operate independently, and deliver immediate value by supporting revenue‑driving teams with actionable, data‑driven insightsIf this opportunity interests you, please send your updated resume along with your contact details at Sales@TangentTechs.com with cc To Skills.eHub@gmail.com .Pay: $80.00 - $85.00 per hourWork Location: Remote

Immersion Consulting, LLC

<div>Description:

The Senior Data Scientist provides advanced analytics, machine learning, and investigative data support. Working closely with criminal investigators, auditors, and technical stakeholders, this position develops and maintains predictive models, fraud detection methodologies, natural language processing (NLP) solutions, and analytical products designed to identify financial fraud, improper payments, and program noncompliance. The Senior Data Scientist transforms complex datasets into actionable intelligence by applying statistical, machine learning, and data visualization techniques.<ul><li>
Design, develop, test, calibrate, and deploy advanced machine learning and predictive analytics models.</li><li>
Develop and maintain supervised and unsupervised fraud detection methodologies using regression, classification, clustering, Bayesian, and ensemble techniques.</li><li>
Conduct data quality assessments to identify anomalies, inconsistencies, and data integrity issues.</li><li>
Analyze large structured, semi-structured, and unstructured datasets to identify fraud indicators and investigative leads.</li><li>
Collaborate with criminal investigators to support financial fraud investigations and audits.</li><li>
Integrate NLP, OCR, semantic similarity algorithms, and large language models into analytical workflows.</li><li>
Develop visualizations, dashboards, executive summaries, and analytical reports for technical and non-technical audiences.</li><li>
Document methodologies, models, testing procedures, and analytical results in accordance with evidentiary and federal requirements.</li><li>
Coordinate with Data Engineering personnel to ensure system architecture efficiently supports analytical and machine learning requirements.</li><li>
Create automated analytical solutions using Python, Power BI, SharePoint, Excel, Power Apps, and related technologies.</li></ul>
Requirements:
<ul><li>Current clearance or ability to obtain a public trust clearance.</li><li>
Master's degree, Ph.D., or equivalent doctorate-level degree in Data Science, Machine Learning, Computer Science, Mathematics, or related field; or 10 years of relevant applied experience.</li><li>
Five or more years of experience developing advanced AI systems and predictive analytics models.</li><li>
Five or more years of experience applying modern analytic methodologies and statistical modeling techniques.</li><li>
Three or more years supporting financial fraud investigations or government oversight activities.</li><li>
Three or more years working with Python and Pandas for advanced data analysis.</li><li>
Three or more years working within cloud platforms such as Microsoft Azure, AWS, or GCP.</li><li>
Two or more years of advanced SQL development experience.</li><li>
Two or more years developing and deploying NLP solutions.</li></ul></div>

GRVTY

<div>What Impact You'll Have
We are seeking a Senior Data Scientist to support mission-driven analytic and modernization efforts across the Intelligence Community. This role leverages advanced analytics, automation, data modeling, visualization, and software development to solve complex intelligence and operational challenges. The ideal candidate is an experienced technical leader who can transform large, complex datasets into actionable intelligence, modernize analytic workflows, and develop scalable solutions that directly support enterprise decision-making and mission success.

What You'll Be Doing
As a Senior Data Scientist, you will develop advanced analytic solutions that transform complex intelligence data into meaningful insights for mission stakeholders. You will design and implement scalable data pipelines, automation strategies, and analytic processes that enable analysts to identify patterns, trends, and operational opportunities across large, diverse datasets. Working directly with intelligence professionals, you will apply data science techniques to solve challenging mission problems while improving the efficiency, repeatability, and rigor of analytic workflows.

You will leverage senior-level Python programming skills to build production-ready tools, automate manual processes, and develop reusable analytic capabilities. Your work will include designing compelling visualizations and dashboards that communicate complex findings in a clear, actionable manner, enabling mission partners to integrate data-driven insights into daily operations and strategic planning. As new requirements emerge, you will rapidly prototype and deploy solutions that support evolving customer needs.

Operating in a fast-paced, mission-focused environment, you will independently manage multiple concurrent projects while collaborating with multidisciplinary teams across the Intelligence Community. You will provide technical leadership in the application of modern data science practices, ensuring solutions are scalable, maintainable, and aligned with enterprise modernization initiatives. Through innovation and continuous improvement, you will help advance intelligence capabilities by transforming data into operational advantage.

What You Must Have
<ul><li>Active TS/SCI clearance (ability to obtain a CI Poly preferred).
</li><li>Demonstrated experience supporting intelligence missions through data science, advanced analytics, or intelligence analysis.
</li><li>Ability to operate independently at a senior level with minimal oversight.
</li><li>Senior-level proficiency in Python and experience developing production-quality analytic applications and automation solutions.
</li><li>Demonstrated proficiency designing and implementing scalable processes for large, complex datasets to identify trends, patterns, and analytical discoveries.
</li><li>Experience developing data models, automation workflows, and repeatable analytic processes.
</li><li>Experience creating visualizations, dashboards, and data products that effectively communicate complex analytical findings and support operational decision-making.
</li><li>Experience managing multiple projects and technical initiatives simultaneously in a high-tempo operational environment.
</li><li>Strong understanding of data analysis, statistical methods, and data-driven problem solving.
</li><li>Excellent written and verbal communication skills with the ability to present technical concepts to diverse audiences.
</li><li>Familiarity with common Intelligence Community (IC) data repositories.
</li><li>Demonstrated ability to collaborate effectively with analysts, engineers, and mission stakeholders to deliver innovative solutions.
</li><li>Familiarity with geospatial data science, GEOINT workflows, or multi-INT analysis.
</li></ul>What Would Be Nice to Have
<ul><li>Experience with additional programming languages or low-code/no-code platforms such as JEMA, Brewlytics, or ArcGIS ModelBuilder.
</li><li>Experience developing enterprise-level dashboards and data visualization solutions using modern business intelligence tools.
</li><li>Experience applying machine learning or artificial intelligence techniques to intelligence problems.
</li><li>Experience working with cloud-based data platforms and distributed computing environments.
</li><li>Experience mentoring junior data scientists or leading technical modernization initiatives.
</li><li>Knowledge of DevSecOps principles and modern software development practices.</li></ul></div>

Trideum Corporation

<div>Senior Data Scientist/Data Engineer 
Full-time 
Huntsville, AL
About Us
Trideum Corporation is a 100% employee-owned company, committed to embracing the world&rsquo;s toughest challenges with a servant&rsquo;s heart. Through dedicated hard work and commitment, we provide distinctive quality and unparalleled customer service in all aspects of our business. We also know that our employees are the key to our success, and it is our mission to take care of them so they can take care of our customers and communities where we live, work, and play.
Position Summary
The Senior Data Scientist/Data Engineer will play a pivotal role in establishing the foundation for data-driven decision-making and enterprise-wide data operationalization in support of the United States Army Space and Missile Defense Command (USASMDC). This position focuses on translating complex data into actionable insights that enable senior leadership to make well-grounded decisions regarding technology investments, pilot programs, and portfolio rationalization. The Data Engineer will design, build, and maintain the data ontology tools, dashboards, and data pipelines necessary to measure technical maturity, operational efficiency, and mission alignment across the organization.
As a core contributor to the enterprise operational data and analytics team, you will be responsible for creating real-time decision support system data ontology mapping and interfaces that provide granular visibility into performance, technology, and operational readiness. You will work closely with data scientists, software developers, systems evaluation engineers, mission personnel, and enterprise architects to ensure that all data is traceable from source to recommendation. This role is essential for equipping leadership with the objective scoring criteria, evaluation metrics, and comprehensive reports needed to continuously improve the technology landscape.
What You&rsquo;ll Do
Responsibilities include, but are not limited to:
<ul><li>Develop and maintain executive decision support products, including operational dashboards and artificial intelligence (AI) pipelines.</li>
<li>Build data pipelines and visualizations within enterprise platforms (such as Army Vantage) to provide real-time oversight of key metrics, including application usage, subscription consumption, and application programming interface (API) burn rates.</li>
<li>Design and implement comprehensive command-wide ontology and data dictionary for utilization across applications and analytic frameworks</li>
<li>Ensure strict data traceability from source data and assumptions through analyses to final recommendations.</li>
<li>Support the creation of a robust API flexible structure to integrate data flows and data sets from Programs of Record, Cloud-based Analytic Platforms, and Mission Systems.</li>
<li>Produce recurring monthly portfolio dashboards and comprehensive quarterly or annual reports.</li>
<li>Less than 25% travel may be required.</li>
</ul>
Requirements and Qualifications
<ul><li>Bachelor&rsquo;s Degree from an accredited school in a technical discipline (e.g., data science, engineering, mathematics, science, computer science, etc.).</li>
<li>Proven experience building operational dashboards and data visualizations that provide real-time decision support to senior leadership.</li>
<li>Strong expertise in developing data pipelines, including experience integrating data from various sources to track utilization, consumption, and financial metrics.</li>
<li>5+ years of relevant professional experience.</li>
<li>Expertise in languages like Python, R, and SQL; data visualization software like Tableau, Power BI, or Qlik; and data management platforms like ADVANA, Palantir Foundry, Databricks, Snowflake, and Azure Synapse Analytics.</li>
<li>Experience establishing data traceability methodologies to ensure a clear linkage between raw data, analyses, and final recommendations.</li>
<li>Ability to define objective scoring criteria, evaluation metrics, and key performance indicators (KPIs) for technology assessments.</li>
<li>Excellent written and verbal communication skills, with the ability to translate complex data into clear, actionable insights for non-technical stakeholders.</li>
<li>U.S. citizenship and an active Secret security clearance with the ability to obtain/maintain a Top Secret/Sensitive Compartmented Information (TS/SCI) clearance.</li>
</ul>
Desired Qualifications
<ul><li>Master&rsquo;s Degree from an accredited school in a technical discipline (e.g., data science, engineering, mathematics, science, computer science, etc.).</li>
<li>Experience working with Army Vantage or similar enterprise, cloud-based data platforms.</li>
<li>Familiarity with building artificial intelligence (AI) or machine learning pipelines for advanced analytics.</li>
<li>Previous experience supporting a Chief Technology Officer (CTO), Chief Data and AI Officer (CDAO), or similar executive-level function with enterprise-wide technology assessments.</li>
<li>Understanding of software lifecycle management, cloud computing integration, and modern development practices (e.g., DevSecOps).</li>
<li>Experience developing and maintaining infrastructure for data storage, data extraction, monitoring, and observability</li>
</ul>
We Take Care of Our People
Whether you&rsquo;re looking to launch a new career or grow an existing one, Trideum is the type of company where you can balance great work with great life because we believe that taking care of our people is the right thing to do. Trideum offers:
<ul><li>Competitive pay based on the work you do here and not your previous salary.</li>
<li>Traditional benefits such as medical, dental, vision, life, disability, and 401k matching.</li>
<li>Employee Stock Ownership Plan (ESOP).</li>
<li>Paid leave and the ability to cash out leave.</li>
<li>Free access to certified financial planners, wellness and support services, and discount programs.</li>
<li>Education assistance and professional development opportunities.</li>
<li>And much more.</li>
</ul>
Ready to Apply?
Start Your Application now!
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity, or any other characteristic protected by law. People with disabilities who need a reasonable accommodation to apply or compete for employment with Trideum may request such accommodation(s) by contacting Human Resources at 256.704.6123 or HR@trideum.com.</div>

Microsoft

<div>Overview<div><div> 
Come build the core of Microsoft Copilot for enterprise with Microsoft Turing Team, where you'll join a collaborative group of applied scientists and engineers pushing the frontier of large language models (LLMs) to improve the productivity of hundreds of millions of users around the world. 
 
Our team is responsible for the core systems that power Microsoft 365 Copilot Chat delivering intelligence, quality, and transformative new features. We work at the intersection of research and engineering&mdash;advancing orchestrator reasoning, training next-generation models, and shipping impactful, model-driven experiences in Microsoft 365 Copilot. 
 
As a Senior Applied Scientist, you will: 
<ul><li>Evolve our orchestrator to reason more effectively, respond faster, and support new capabilities in multi-modality, agent-based systems, and beyond</li><li>Advance the state of the art in model training&mdash;including post-training methods such as fine-tuning and reinforcement learning, high-quality data curation, and experimentation with frontier model training</li><li>Build and deliver model-driven features from concept to production&mdash;spanning model development, evaluation, metrics, and A/B testing</li></ul></div>
Recent launches like Analyst Agent in Microsoft 365 Copilot showcase the breadth and depth of impact you&rsquo;ll drive across the stack. 
 
We&rsquo;re hiring applied scientists who are passionate about deep learning, NLP, multimodality model, and model optimization. Come build the next generation of AI with us.
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div> 
Responsibilities 
<ul><li>
You will master a broad area or research and understand any applicable research techniques. You&rsquo;ll also serve as a team expert on changes in industry trends, products, and other advances, and apply this knowledge to influence product needs.</li><li>
You will review business and product requirement, incorporate research, and provide strategic direction for problem solving. You&rsquo;ll also ensure scientific rigor, support the development of methods, and apply your expertise to support business impact.</li><li>
You will identify and inspire peers and new research talent to join Microsoft, build relationships, and advocate for research initiatives. You&rsquo;ll share research findings through industry outreach, collaborate with the academic community, and help develop the recruiting pipeline.</li><li>
You will document work and experimentation results and share findings to promote innovation. You&rsquo;ll provide guidance when capturing processes and contribute to ethics and privacy policies related to research processes and data collection.</li></ul> 

Qualifications 
Required Qualifications:<ul><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)<ul><li>
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)</li><li>
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)</li><li>
OR equivalent experience.</li></ul></li></ul>
Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualification:<ul><li>
Master's Degree in Statistics, Econometrics, Computer Science, Electrical</li><li><ul><li>
OR Computer Engineering,</li><li>
OR related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)</li><li>
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical</li><li>
OR Computer Engineering,</li><li>
OR related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)</li><li>
OR equivalent experience.</li></ul></li><li>
3+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).</li></ul> 
#msturingjobs
#CACore
#CAP 

 
 
Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: 
https://careers.microsoft.com/us/en/us-corporate-pay 
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.</div>

Senior Applied Scientist

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