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data scientist multiple levels

Noblis

<div>Responsibilities:
<div>
We are seeking highly qualified Subject Matter Experts (SMEs) across multiple levels (I&ndash;V) to support data science, aviation, engineering, psychological, analytical, and technical programs within the Federal Aviation Administration (FAA) or related federal initiatives. SMEs will apply advanced knowledge in their respective technical or analytical disciplines&mdash;particularly data science, machine learning, and data-driven analysis&mdash;to solve complex problems, integrate requirements, and contribute to system design, program execution, and organizational effectiveness.</div><div></div><div><br>
SMEs will participate in multidisciplinary teams, utilizing advanced analytical tools, simulation environments, laboratories, data analysis platforms, and test facilities. They will provide guidance in technical planning, data strategy, process improvement, and performance evaluation, ensuring that data-driven insights inform program and mission outcomes.</div><div></div><div><br>
Key Responsibilities (All Levels)</div><ul><li>
Apply advanced knowledge in data science, engineering, psychology, or related technical disciplines to solve complex technical or organizational problems within the FAA or similar environments.</li><li>
Extract insights and value from large and complex datasets to inform decision-making, enhance system performance, and drive innovation across programs.</li><li>
Develop and implement data-driven solutions and predictive models using advanced statistical, machine learning, and data analysis techniques.</li><li>
Collect, clean, and integrate data from multiple sources to support analytical, technical, and operational objectives.</li><li>
Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships in data relevant to aviation safety, engineering performance, human factors, or organizational outcomes.</li><li>
Utilize scientific, engineering, and analytical tools (e.g., Python, R, SQL, MATLAB, data visualization platforms) to design, test, and validate analytical models and simulations.</li><li>
Collaborate with cross-functional teams&mdash;including software engineers, data analysts, behavioral scientists, and domain experts&mdash;to integrate data science solutions into operational systems and decision-support workflows.</li><li>
Develop and review technical documentation, reports, and data-driven recommendations to support program planning, compliance, and strategic decisions.</li><li>
Communicate analytical findings and technical insights to stakeholders in a clear, actionable manner, enabling evidence-based decision-making.</li><li>
Contribute to technical planning, data infrastructure design, and process optimization, ensuring alignment with program goals and federal data standards.</li><li>
Mentor junior staff and provide expertise in data science methodologies, enhancing team capabilities and promoting a culture of analytical excellence.</li></ul>
Required Qualifications:<div></div><div><br>
Qualifications for all Levels:</div><ul><li>
U.S. citizen or green card permanent resident (3+ years U.S. residency)</li><li>
Ability to obtain and maintain FAA Sutiability/Public Trust.</li><li>
Experience with FAA and the environment.</li></ul><div>
Level I</div><div>
Required Qualifications</div><ul><li>
Bachelor&rsquo;s degree in engineering, science, or related field and 4+ years of relevant experience; <i>or</i> equivalent aviation-related experience with 6+ years.
</li></ul><div>D.C. Salary Range: $71,800.00 - $112,150</div><div></div><div><br>
Level II</div><div>
Required Qualifications:</div><ul><li>
Bachelor&rsquo;s degree in engineering, science, or related field and 8+ years of relevant experience; <i>or</i> equivalent aviation-related experience with 12+ years.</li></ul><div>
D.C. Salary Range: $78,900 - $123,300</div><div><br>
</div><div>Level III</div><div>
Required Qualifications:</div><ul><li>
Master&rsquo;s degree in engineering, science, or related field and 10+ years of experience; <i>or</i> Bachelor&rsquo;s degree with 12+ years of experience.</li></ul><div>
D.C. Salary Range: $105,100 - $164,125</div><div></div><div><br>
</div><div>Level IV</div><div>
Required Qualifications:</div><ul><li>
Master&rsquo;s degree in engineering, science, or related field and 13+ years of experience; <i>or</i> Bachelor&rsquo;s degree with 17+ years of experience.</li></ul><div>
D.C. Salary Range: $127,100 - $198,575</div><div><br>
</div><div>Level V</div><div>
Required Qualifications:</div><ul><li>
Doctorate degree in psychology, industrial/organizational psychology, engineering, science, or related technical/analytical field and 10+ years of experience; <i>or</i> Master&rsquo;s degree with 12+ years, or Bachelor&rsquo;s degree with 17+ years of experience.</li></ul><div>
 D.C. Salary Range: $153,800 - $240,350</div>
Desired Qualifications:
<div>
Desired Expertise</div><ul><li>
Demonstrated experience in data science, machine learning, statistics, or quantitative analysis, preferably in aviation, engineering, or related technical domains.</li><li>
Proficiency with data science tools and programming languages (e.g., Python, R, SQL, TensorFlow, PyTorch, scikit-learn, Tableau, Power BI).</li><li>
Strong understanding of data pipelines, data governance, and analytical model deployment in operational environments.</li><li>
Ability to translate complex technical and analytical concepts into actionable insights for diverse stakeholders.</li></ul><div>
Level I</div><ul><li>
Experience with technical problem-solving, system integration, or engineering team support in aviation-related programs.</li></ul><div>
Level II</div><ul><li>
Demonstrated experience leading small technical teams, performing process improvement, and applying engineering/scientific tools to complex problems.</li></ul><div>
Level III</div><ul><li>
Experience in advanced technical planning, integration of complex systems, and use of data analysis and test facilities for problem resolution.</li></ul><div>
Level IV</div><ul><li>
Proven record of technical leadership, mentorship of junior SMEs, and contributions to program or organizational strategy.</li><li>
Experience with large-scale program integration, advanced modeling, simulation, or laboratory testing.</li></ul><div>
Level V</div><ul><li>
Expertise in psychological, organizational, technical, or analytical domains applied to aviation, engineering, or large-scale program environments.</li></ul><ul><li>
Demonstrated leadership in multidisciplinary teams, system-of-systems problem solving, and organizational planning.</li><li>
Experience applying human factors, industrial/organizational psychology, or advanced analytics to improve performance, safety, and process outcomes.</li></ul><div><b>
**THIS POSITION IS CONTINGENT ON AWARD AND POSITION AVAILABILITY**</b></div><br>
<div></div>
Overview:
<div>
Noblis and our wholly owned subsidiaries, Noblis ESI, and Noblis MSD tackle the nation's toughest problems and apply advanced solutions to our clients' most critical missions. We bring the best of scientific thought, management, and engineering expertise together in an environment of independence and objectivity to deliver enduring impact on federal missions. Noblis works with a wide range of government clients in the defense, intelligence and federal civil sectors. Learn more at Noblis -About Us</div><div></div><div><b><br>
Why work at a Noblis company?</b></div><div>
Our employees find greater meaning in their work and balance the other things in life that matter to them. Our people are our greatest asset. They are exceptionally skilled, knowledgeable, team-oriented, and mission-driven individuals who want to do work that matters and benefits the public. Noblis has won numerous workplace awards. Noblis maintains a drug-free workplace.</div><div></div><ul><li><br>
<i>Remote/hybrid status is subject to change based on Noblis and/or government requirements</i></li></ul>
Commitment to Non-Discrimination:
<div>
All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law.</div><div></div><div><br>
If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us.</div><div>
EEO is the Law | E-Verify | Right to Work</div><br>
<br>
Total Rewards:
<div>
At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site.</div><div></div><div><br>
Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis&rsquo; total compensation package.</div><br>
<br>
Posted Salary Range: USD $71,800.00 - USD $240,350.00 /Yr.</div>

Data Scientist (Multiple Levels)

<div>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 We are seeking highly qualified Subject Matter Experts (SMEs) across multiple levels (I-V) to support data science, aviation, engineering, psychological, analytical, and technical programs within the Federal Aviation Administration (FAA) or related federal initiatives. SMEs will apply advanced knowledge in their respective technical or analytical disciplines&mdash;particularly data science, machine learning, and data-driven analysis&mdash;to solve complex problems, integrate requirements, and contribute to system design, program execution, and organizational effectiveness.
 <br/>
 <br/>
 SMEs will participate in multidisciplinary teams, utilizing advanced analytical tools, simulation environments, laboratories, data analysis platforms, and test facilities. They will provide guidance in technical planning, data strategy, process improvement, and performance evaluation, ensuring that data-driven insights inform program and mission outcomes.
 <br/>
 <br/>
 Key Responsibilities (All Levels)
 <br/>
 <br/>
 <ul>
  <li>
   Apply advanced knowledge in data science, engineering, psychology, or related technical disciplines to solve complex technical or organizational problems within the FAA or similar environments.
  </li>
  <li>
   Extract insights and value from large and complex datasets to inform decision-making, enhance system performance, and drive innovation across programs.
  </li>
  <li>
   Develop and implement data-driven solutions and predictive models using advanced statistical, machine learning, and data analysis techniques.
  </li>
  <li>
   Collect, clean, and integrate data from multiple sources to support analytical, technical, and operational objectives.
  </li>
  <li>
   Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships in data relevant to aviation safety, engineering performance, human factors, or organizational outcomes.
  </li>
  <li>
   Utilize scientific, engineering, and analytical tools (e.g., Python, R, SQL, MATLAB, data visualization platforms) to design, test, and validate analytical models and simulations.
  </li>
  <li>
   Collaborate with cross-functional teams&mdash;including software engineers, data analysts, behavioral scientists, and domain experts&mdash;to integrate data science solutions into operational systems and decision-support workflows.
  </li>
  <li>
   Develop and review technical documentation, reports, and data-driven recommendations to support program planning, compliance, and strategic decisions.
  </li>
  <li>
   Communicate analytical findings and technical insights to stakeholders in a clear, actionable manner, enabling evidence-based decision-making.
  </li>
  <li>
   Contribute to technical planning, data infrastructure design, and process optimization, ensuring alignment with program goals and federal data standards.
  </li>
  <li>
   Mentor junior staff and provide expertise in data science methodologies, enhancing team capabilities and promoting a culture of analytical excellence.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 Qualifications for all Levels:
 <br/>
 <br/>
 <ul>
  <li>
   U.S. citizen or green card permanent resident (3+ years U.S. residency)
  </li>
  <li>
   Ability to obtain and maintain FAA Sutiability/Public Trust.
  </li>
  <li>
   Experience with FAA and the environment.
   <br/>
   <br/>
  </li>
 </ul>
 Level I
 <br/>
 <br/>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in engineering, science, or related field and 4+ years of relevant experience; or equivalent aviation-related experience with 6+ years.
   <br/>
   <br/>
  </li>
 </ul>
 D.C. Salary Range: $71,800.00 - $112,150
 <br/>
 <br/>
 Level II
 <br/>
 <br/>
 <strong>
  Required Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in engineering, science, or related field and 8+ years of relevant experience; or equivalent aviation-related experience with 12+ years.
   <br/>
   <br/>
  </li>
 </ul>
 D.C. Salary Range: $78,900 - $123,300
 <br/>
 <br/>
 Level III
 <br/>
 <br/>
 <strong>
  Required Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master&rsquo;s degree in engineering, science, or related field and 10+ years of experience; or Bachelor&rsquo;s degree with 12+ years of experience.
   <br/>
   <br/>
  </li>
 </ul>
 D.C. Salary Range: $105,100 - $164,125
 <br/>
 <br/>
 Level IV
 <br/>
 <br/>
 <strong>
  Required Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Master&rsquo;s degree in engineering, science, or related field and 13+ years of experience; or Bachelor&rsquo;s degree with 17+ years of experience.
   <br/>
   <br/>
  </li>
 </ul>
 D.C. Salary Range: $127,100 - $198,575
 <br/>
 <br/>
 Level V
 <br/>
 <br/>
 <strong>
  Required Qualifications:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Doctorate degree in psychology, industrial/organizational psychology, engineering, science, or related technical/analytical field and 10+ years of experience; or Master&rsquo;s degree with 12+ years, or Bachelor&rsquo;s degree with 17+ years of experience.
   <br/>
   <br/>
  </li>
 </ul>
 D.C. Salary Range: $153,800 - $240,350
 <br/>
 <br/>
 <strong>
  Desired Qualifications
  <br/>
  <br/>
 </strong>
 Desired Expertise
 <br/>
 <br/>
 <ul>
  <li>
   Demonstrated experience in data science, machine learning, statistics, or quantitative analysis, preferably in aviation, engineering, or related technical domains.
  </li>
  <li>
   Proficiency with data science tools and programming languages (e.g., Python, R, SQL, TensorFlow, PyTorch, scikit-learn, Tableau, Power BI).
  </li>
  <li>
   Strong understanding of data pipelines, data governance, and analytical model deployment in operational environments.
  </li>
  <li>
   Ability to translate complex technical and analytical concepts into actionable insights for diverse stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 Level I
 <br/>
 <br/>
 <ul>
  <li>
   Experience with technical problem-solving, system integration, or engineering team support in aviation-related programs.
   <br/>
   <br/>
  </li>
 </ul>
 Level II
 <br/>
 <br/>
 <ul>
  <li>
   Demonstrated experience leading small technical teams, performing process improvement, and applying engineering/scientific tools to complex problems.
   <br/>
   <br/>
  </li>
 </ul>
 Level III
 <br/>
 <br/>
 <ul>
  <li>
   Experience in advanced technical planning, integration of complex systems, and use of data analysis and test facilities for problem resolution.
   <br/>
   <br/>
  </li>
 </ul>
 Level IV
 <br/>
 <br/>
 <ul>
  <li>
   Proven record of technical leadership, mentorship of junior SMEs, and contributions to program or organizational strategy.
  </li>
  <li>
   Experience with large-scale program integration, advanced modeling, simulation, or laboratory testing.
   <br/>
   <br/>
  </li>
 </ul>
 Level V
 <br/>
 <br/>
 <ul>
  <li>
   Expertise in psychological, organizational, technical, or analytical domains applied to aviation, engineering, or large-scale program environments.
  </li>
  <li>
   Demonstrated leadership in multidisciplinary teams, system-of-systems problem solving, and organizational planning.
  </li>
  <li>
   Experience applying human factors, industrial/organizational psychology, or advanced analytics to improve performance, safety, and process outcomes.
  </li>
  <li>
   THIS POSITION IS CONTINGENT ON AWARD AND POSITION AVAILABILITY**
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 Noblis and our wholly owned subsidiaries, Noblis ESI, and Noblis MSD tackle the nation's toughest problems and apply advanced solutions to our clients' most critical missions. We bring the best of scientific thought, management, and engineering expertise together in an environment of independence and objectivity to deliver enduring impact on federal missions. Noblis works with a wide range of government clients in the defense, intelligence and federal civil sectors. Learn more at Noblis -About Us
 <br/>
 <br/>
 <strong>
  Why work at a Noblis company?
  <br/>
  <br/>
 </strong>
 Our employees find greater meaning in their work and balance the other things in life that matter to them. Our people are our greatest asset. They are exceptionally skilled, knowledgeable, team-oriented, and mission-driven individuals who want to do work that matters and benefits the public. Noblis has won numerous workplace awards. Noblis maintains a drug-free workplace.
 <br/>
 <br/>
 <ul>
  <li>
   Remote/hybrid status is subject to change based on Noblis and/or government requirements
   <br/>
   <br/>
  </li>
 </ul>
 Commitment to Non-Discrimination
 <br/>
 <br/>
 All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law.
 <br/>
 <br/>
 If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us.
 <br/>
 <br/>
 EEO is the Law | E-Verify | Right to Work
 <br/>
 <br/>
 Total Rewards
 <br/>
 <br/>
 At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site.
 <br/>
 <br/>
 Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis&rsquo; total compensation package.
 <br/>
 <br/>
 Posted Salary Range
 <br/>
 <br/>
 USD $71,800.00 - USD $240,350.00 /Yr.
</div>


The Asia Group

<div>The Asia Group (TAG) is now accepting applications for a Entry-Level Data Scientist &ndash; AI Chatbot Development to join our Team. This role will be based in Washington, DC.
<br>
<br>
The Asia Group is a dynamic strategic advisory firm that positions clients, ranging from Fortune 100 multinationals to innovative startups, for success in established and emerging markets across the Indo-Pacific region. Our team includes a diverse mix of partners and staff possessing decades of government, private sector, academia, and military experience. Our corporate philosophy emphasizes teamwork, collegiality, creativity, and entrepreneurialism. Our operational culture is fast paced and demanding yet strives to be flexible and fun. Beyond the pursuit of professional success, our leadership actively embraces the challenges and opportunities associated with growing a highly successful firm, including by investing time and energy in mentoring and leading staff.
 <br>
<br>
The Entry-Level Data Scientist will support TAG+ by analyzing datasets, developing simple predictive models, and contributing to the overall data strategy. This role is an excellent opportunity for a recent graduate or someone changing careers who is looking to gain hands-on experience in a fast-paced environment. The successful candidate will have a strong foundation in statistical analysis and natural language processing (NLP), along with a desire to learn and grow within the rapidly evolving field of AI and data science.</div>

Entry-Level Data Scientist – AI Chatbot Development

Data Scientist, Product Analytics

Andiamo

<div>
 Data Scientist with TS SCI Clearance
 <br/>
 <br/>
 This role sits at the intersection of advanced analytics, machine learning, and mission driven work. You will help design and deliver intelligent data solutions that operate in complex, high impact environments. The work is hands on, technically challenging, and directly connected to real world decision making across defense, intelligence, and national security focused programs.
 <br/>
 <br/>
 You will join a platform focused data science team responsible for taking ideas from concept to fully deployed production systems. This position offers meaningful growth for individuals who want to expand their technical depth, increase customer impact, and grow into senior or leadership roles over time.
 <br/>
 <br/>
 What You Will Do
 <br/>
 <br/>
 <ul>
  <li>
   Design, build, and deploy production grade machine learning and analytics solutions using a modern AI and data science platform
  </li>
  <li>
   Take ownership of customer engagements, working directly with complex datasets from initial exploration through operational deployment
  </li>
  <li>
   Translate ambiguous mission needs into clear technical approaches and scalable data products
  </li>
  <li>
   Develop models and analytics pipelines that integrate with large scale data ecosystems and cloud based data platforms
  </li>
  <li>
   Collaborate closely with engineers, analysts, and stakeholders to ensure solutions are reliable, explainable, and impactful
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Required Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Active TS SCI security clearance with willingness to work in secure facilities as required
  </li>
  <li>
   Based in or near Washington DC or Northern Virginia with the ability to access SCIF locations
  </li>
  <li>
   Ability and willingness to travel regularly to client sites and military installations
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a closely related field
  </li>
  <li>
   At least three years of experience writing production quality Python code
  </li>
  <li>
   Strong experience with the Python data ecosystem including libraries such as pandas, numpy, scikit learn, TensorFlow, PyTorch, and visualization tools
  </li>
  <li>
   Hands on experience deploying machine learning models into live production environments
  </li>
  <li>
   Experience working with relational and non relational databases such as SQL, NoSQL, search engines, or graph systems
  </li>
  <li>
   Solid understanding of version control workflows using Git or similar tools
  </li>
  <li>
   Practical experience with containerization or orchestration technologies such as Docker or Kubernetes
  </li>
  <li>
   Strong ownership mindset with the ability to drive work forward independently
  </li>
  <li>
   Clear and effective written and verbal communication skills in English
   <br/>
   <br/>
  </li>
 </ul>
 Nice to Have
 <br/>
 <br/>
 <ul>
  <li>
   Experience leading or coordinating data science projects within a SCIF environment
  </li>
  <li>
   Background in cyber analytics including network traffic analysis, PCAP data, vulnerability analysis, or related domains
  </li>
  <li>
   Experience integrating analytics systems with distributed processing frameworks such as Spark, Dask, Snowpark, or Kafka
  </li>
  <li>
   Exposure to workflow orchestration tools or scheduling systems such as Airflow, Celery, or Prefect
  </li>
  <li>
   Experience building or supporting lightweight web applications or APIs using frameworks like Flask or Django
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation And Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive compensation package including salary, bonus, and equity based on experience and background
  </li>
  <li>
   Comprehensive health benefits including medical, dental, and vision coverage
  </li>
  <li>
   Generous paid time off policy designed to support long term sustainability and balance
   <br/>
   <br/>
  </li>
 </ul>
 If you are excited by the idea of building advanced data science solutions that matter, working with cutting edge technology, and contributing directly to high consequence missions, this role offers a rare opportunity to do all three.
 <br/>
 <br/>
 <strong>
  About Andiamo
  <br/>
  <br/>
 </strong>
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 <br/>
 <br/>
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 <br/>
 <br/>
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>


Data Scientist - AI Decision Intelligence Platform

<div>Posting Description:
<p><b>
Aon is Looking for a Data Scientist</b></p><div>
Data science is revolutionizing many areas of business and the management of people is no exception. Aon&rsquo;s human capital business, encompassing over 2,000 colleagues and spanning the globe, applies our market-leading workforce data to help clients tackle transformational projects.</div><p></p><p><b><br>
Aon is in the business of better decisions</b></p><p></p><p><br>
At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.</p><p><br>
</p><p>As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed.</p><p><br>
</p><p><b>What the day will look like</b></p><ul><li>
Provide technical leadership in a team that generates business insights, identify impactful recommendations, and communicate the findings to clients</li><li>
Brainstorm innovative ways to use our unique data to answer business problems</li><li>
Design, construct, install, test, and maintain data management systems typically in the form of scalable Databricks pipelines</li><li>
Research, build, and apply LLMs and NLP-based systems for insight extraction and data enrichment use-cases</li><li>
Create advanced statistical and machine-learning models to provide specific recommendations to business leaders</li><li>
Communicate complex quantitative analyses in a clear, precise, and actionable manner</li><li>
Leverage data visualization to convey insights in a compelling way</li><li>
Work in a team, take initiative, and share your knowledge with others</li></ul><p><b>
How this opportunity is different</b></p><div>
Human Capital Data Scientists will have the opportunity to apply and develop advanced data skills and play an important role in delivering innovative solutions. Our focus lies in building creative solutions that have an immediate impact on the business of our partners and the lives of the people who work for them. We work in complementary teams comprising data scientists and consultants from across the organization. Aon is home to human capital data of a scale and breadth found in few other places, allowing you to participate in developing market-leading insights that shape how companies manage their people and their business.</div><p></p><p><b><br>
Skills and experience that will lead to success</b></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Economics, Data Science, Statistics, Computer Science or related field</li><li>
Four years of work experience with a Bachelor&rsquo;s degree or at least two years of experience with an advanced degree</li><li>
Proficiency with Python and Databricks</li><li>
Knowledge of data visualization software such as Tableau or Power BI</li><li>
Experience with multivariate linear regression models and hypothesis testing</li><li>
Experience with collaborative development environment like GitHub</li></ul><p><b>
 Preferred Experience</b></p><ul><li>
A passion for data visualization</li><li>
Proficiency with ETL processes</li><li>
Experience with Databricks and Snowflake</li><li>
Experience with advanced econometrics and machine learning methods for social sciences</li><li>
Experience with discrete choice experiments or conjoint analysis</li></ul><p><b>
How we support our colleagues</b></p><p><br>
</p><p>In addition to our comprehensive benefits package, we encourage an inclusive workforce. Plus, our agile environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two &ldquo;Global Wellbeing Days&rdquo; each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions for our colleagues as well.</p><p></p><p><br>
Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.</p><p></p><p><br>
Aon values an innovative and inclusive workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.</p><p></p><div><br>
Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status. People with criminal histories are encouraged to apply.</div><div></div><div><br>
The salary range for this position (intended for U.S. applicants) is $105,000 - $138,000 annually. The actual salary will vary based on applicant&rsquo;s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant&rsquo;s geographic location.</div><div>
This position is eligible to participate in one of Aon&rsquo;s annual incentive plans to receive an annual discretionary bonus in addition to base salary. The amount of any bonus varies and is subject to the terms and conditions of the applicable incentive plan.</div><div></div><div><br>
Aon offers a comprehensive package of benefits for full-time and regular part-time colleagues, including, but not limited to: a 401(k) savings plan with employer contributions; an employee stock purchase plan; consideration for long-term incentive awards at Aon&rsquo;s discretion; medical, dental and vision insurance, various types of leaves of absence, paid time off, including 12 paid holidays throughout the calendar year, 15 days of paid vacation per year, paid sick leave as provided under state and local paid sick leave laws, short-term disability and optional long-term disability, health savings account, health care and dependent care reimbursement accounts, employee and dependent life insurance and supplemental life and AD&amp;D insurance; optional personal insurance policies, adoption assistance, tuition assistance, commuter benefits, and an employee assistance program that includes free counseling sessions. Eligibility for benefits is governed by the applicable plan documents and policies.</div><div></div><div><br>
We are committed to providing equal employment opportunities and fostering an inclusive workplace. If you require accommodations during the application or interview process, please let us know. You can request accommodations by emailing us at ReasonableAccommodations@Aon.com or your recruiter. We will work with you to meet your needs and ensure a fair and equitable experience.</div><div></div><div><br>
For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with arrest and conviction record in accordance with local Fair Chance ordinances.</div><div></div><div><b><i><br>
Aon is not accepting unsolicited resumes from search firms for this position. If you are a search firm, you will not be compensated in any way for your submission of a candidate, even if Aon hires that candidate.</i></b></div><div></div><p><br>
Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.</p><p></p><p><b><br>
#LI-KN1</b></p><p></p><p><b><br>
#LI-HYBRID</b></p><p><b>
#LI-REMOTE</b></p></div><p></p>

Data Scientist

The Prospective Group (TPG)

<div><div>Active DoD Security Clearance Required</div>
<div></div><div><b>The Prospective Group (TPG)</b> is searching for a<b> </b><b>SME Critical Manufacturing / Emerging Technology / SME Computer and Information Research Scientist </b>to support the Cybersecurity and Infrastructure Security Agency&rsquo;s Foreign Investment Risk Branch (FIRB) by providing the requisite tools, services, skills and expertise necessary to assist in executing and advancing CISA&rsquo;s mission and priorities, including the identification of risk specific to the security of national critical infrastructure, preservation of national security from foreign investment and influence, and enhancing cybersecurity throughout the nation&rsquo;s critical infrastructure.</div>
<div></div><div><b>Position Requirements:</b></div>
<div></div><div><ul><li>At least 10 years work experience in policy development and strategic planning, manufacturing environments, the implementation of quality assurance processes, and/or technical implementation or development in at least one emerging and critical technology relevant to CISA equities, including.
<ul><li>Biotechnology</li>
<li>Semiconductors and microelectronics</li>
<li>Quantum information systems/computing</li>
<li>Artificial intelligence (AI)</li>
</ul></li><li>Widely recognized certifications such as Certified Manufacturing Engineer (CMfgE) may substitute for up to 2 years of work experience, depending on the level and relevance.</li>
<li>Demonstrated evidence of ongoing education and training to keep up with industry advancements and maintain adaptability to new technologies and processes.</li>
<li>Demonstrated ability to conduct independent research and analysis in an area related to core FIRB area of cybersecurity and technology interest.</li>
<li>Demonstrated analytic writing and communication ability.</li>
<li>Demonstrate ability to convey technical concepts to non-technical stakeholders.</li>
<li>At least a Bachelor&rsquo;s degree in STEM field, with preference given to advanced degree and/or experience in a field closely related to a core area of FIRB cybersecurity and technology interest or the emerging and critical technology areas listed below.</li>
</ul>
</div><div></div><div><b>The Prospective Group (TPG)</b> is an IT management consulting company providing services internationally to government and commercial entities. Being prospective&mdash;leaning forward with action&mdash;defines the TPG culture. TPG and its employees have hundreds of years of experience, collectively, of successful program and project management, business process reengineering and optimization, enterprise architecture, mobile and cloud computing, cyber security, records management, and diplomatic business experience. TPG is a women-owned small business (WOSB), appraised at CMMI Level 3 with excellent performance credentials.</div>
<div></div><div><b>The Prospective Group is an Equal Opportunity and Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or orientation, national origin, disability, or protected veteran status.</b></div></div><div></div>

SME Critical Manufacturing / Emerging Technology / SME Computer and Information Research Scientist

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