junior data scientist

Index Analytics LLC

<div><div><div>Index Analytics, LLC, is a rapidly growing, Baltimore-based small business providing health-related consulting services to the federal government. At the center of our company culture is a commitment to instilling a dynamic and employee-friendly place to work. We place a priority on promoting a supportive and collegial team environment and enhancing staff experience through career development and educational opportunities.</div></div><div><div>
The Junior Data Scientist will work in a big data environment to help us build and deliver secure AI-enabled solutions. In this role you will develop and maintain Python and SQL solutions (e.g., using Jupyter/Notebook, Streamlit, and Snowflake), support data exploration and predictive modeling, and help us implement generative AI capabilities.
</div></div><div><div><b>Responsibilities</b></div></div><ul><li><p>
Support the development and maintenance of Python solutions in Jupyter/Notebook and Streamlit, using Snowflake for data storage and querying under guidance from senior team members.</p></li><li><p>
Assist with designing, prototyping, and implementing AI-enabled capabilities (e.g., chatbots, code-assist/code-generation workflows) to meet program needs.</p></li><li><p>
Help build and maintain evaluation datasets and metrics (e.g., accuracy, groundedness, hallucination checks) and contribute to model testing and quality validation.</p></li><li><p>
Create simple data visualizations, dashboards, and analysis outputs to communicate findings and support decision-making.</p></li><li><p>
Follow responsible AI practices throughout development and deployment, including transparency, fairness, robustness, explainability, and basic solution observability, escalating risks/issues as needed.</p></li><li><p>
Stay current on emerging AI/ML and assistant technologies; share relevant updates, demos, or findings with the team.</p></li><li><p>
Collaborate with an agile team of data scientists by completing assigned tasks, participating in ceremonies, documenting work, and iterating on analytics products.</p></li></ul><ul><li><p>
US citizen or Authorized to Work and lived in the US for 3 of the last 5 years. Must be able to obtain a U.S. Federal government client badge and pass a government Public Trust.</p></li><li><p>
Requires a minimum of four (4) years of relevant experience with a Bachelor&rsquo;s degree, or a Master&rsquo;s degree with at least two (2) years of experience. Four (4) years of specialized experience may be substituted for a Bachelor&rsquo;s degree.</p></li><li><p>
Advanced certifications can be used to substitute for experience.</p></li><li><p>
Experience with Python and SQL</p></li><li><p>
Experience with Python AI/ML libraries</p></li><li><p>
Experience with common data science toolkits, such as pandas, NumPy etc.</p></li><li><p>
Experience with code repository tools like GitHub is preferred</p></li><li><p>
Exposure to Generative AI, NLP, and LLM is preferred</p></li><li><p>
Strong communication skills and experience collaborating with analytics, application, and platform teams in an Agile environment</p></li><li><p>
Prior experience with Center for Medicare Medicaid Services or other government agencies is a plus</p></li></ul><p>
</p><p></p><div><div><b>Attention Candidates</b></div></div><p>
</p><div><div>We're dedicated to ensuring a safe and transparent recruitment process for all candidates and have implemented robust measures to protect your personal information. Please be aware that all employment-related communications will originate from a secure portal (NAME@msg.paycomonline.com) or a corporate email address (NAME@index-analytics.com). If you have any concerns, please don't hesitate to reach out to us at recruiting@index-analytics.com.</div></div><div><div><b><i>
If you are selected for an interview, please be advised that Index Analytics LLC reserves the right to prohibit the use of artificial intelligence (AI) tools, including but not limited to AI-generated responses, real-time transcription, or automated assistance during the interview process. We value authentic interactions and the opportunity to engage directly with candidates. Any unauthorized use of AI may result in disqualification from consideration.</i></b></div></div><div><div><b>
The salary range provided represents the estimated compensation for new hires in this position, applicable across all locations. Actual offers may vary based on factors such as the candidate's skills, qualifications, experience, and market conditions. Index complements its base salary offering with a competitive package that includes health and retirement benefits, discretionary bonuses, and reimbursement for professional development opportunities.</b></div></div><div><div>
Index Analytics provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.</div></div></div><p></p>

Junior Data Scientist

LSEG

<div>
 Job Summary:
 <br/>
 <br/>
 As a Junior Data Scientist, you will assist in delivering data-driven insights and solutions under the guidance of senior data scientists. This role is focused on applying basic machine learning and data analysis techniques to assist in developing solutions that address customer needs. You will collaborate with multi-functional teams, learning from experienced professionals and helping implement data science-driven products, particularly focusing on data preparation, model implementation, and data analysis tasks.
 <br/>
 <br/>
 Role &amp; Responsibilities:
 <br/>
 <br/>
 <ul>
  <li>
   Assist in the development and deployment of machine learning models under the guidance of senior data scientists.
  </li>
  <li>
   Apply basic machine learning techniques, including data preprocessing, feature engineering, and model evaluation, to solve business problems.
  </li>
  <li>
   Collaborate with the team to gather and analyze data, ensuring data quality and consistency.
  </li>
  <li>
   Support the creation of dashboards, reports, and data visualizations to communicate findings.
  </li>
  <li>
   Work with senior team members to understand client requirements and contribute to the design and implementation of data science solutions.
  </li>
  <li>
   Perform exploratory data analysis (EDA) to understand data patterns and trends.
  </li>
  <li>
   Assist in the maintenance and updating of models and algorithms in production.
  </li>
  <li>
   Develop scripts for automating data processing tasks and workflows.
   <br/>
   <br/>
  </li>
 </ul>
 Qualifications and Experience Required:
 <br/>
 <br/>
 <ul>
  <li>
   3-5 years experience in data science, machine learning, or a related field, ideally in a financial industry or familiar with finance.
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
  </li>
  <li>
   Basic understanding of machine learning algorithms and their applications.
  </li>
  <li>
   Proficiency in Python with knowledge of libraries such as Pandas, NumPy, and scikit-learn for data analysis and model building.
  </li>
  <li>
   Familiarity with SQL for querying relational databases and performing data manipulation.
  </li>
  <li>
   Understanding of data preprocessing techniques, including handling missing data, scaling, and encoding.
  </li>
  <li>
   Basic knowledge of cloud platforms (AWS, GCP, or Azure) and machine learning frameworks such as TensorFlow or PyTorch.
  </li>
  <li>
   Ability to learn quickly and apply new concepts in data science.
  </li>
  <li>
   Strong analytical and problem-solving skills, with the ability to communicate findings effectively.
  </li>
  <li>
   A passion for learning and staying updated with the latest developments in data science and machine learning.
  </li>
  <li>
   Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
  </li>
  <li>
   Familiarity with NoSQL databases like MongoDB or Cassandra.
  </li>
  <li>
   Knowledge of basic NLP techniques for text data analysis.
  </li>
  <li>
   Interest in gaining exposure to deep learning frameworks like TensorFlow and PyTorch.
  </li>
  <li>
   Interest in gaining exposure to LLMs and agentic frameworks
   <br/>
   <br/>
  </li>
 </ul>
 LSEG is committed to encouraging a diverse, equitable, an inclusive work environment, ensuring equal opportunities for all employees, regardless of their background. We offer great employee benefits to make sure everyone performs to the best of their abilities. We offer a hybrid working model.
 <br/>
 <br/>
 <strong>
  Career Stage:
  <br/>
  <br/>
 </strong>
 Senior Associate
 <br/>
 <br/>
 <strong>
  London Stock Exchange Group (LSEG) Information:
  <br/>
  <br/>
 </strong>
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 <br/>
 <br/>
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 <br/>
 <br/>
 Our purpose is the foundation on which our culture is built. Our values of
 <strong>
  Integrity, Partnership
 </strong>
 ,
 <strong>
  Excellence
 </strong>
 and
 <strong>
  Change
 </strong>
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 <br/>
 <br/>
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 <br/>
 <br/>
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 <br/>
 <br/>
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 <br/>
 <br/>
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 <br/>
 <br/>
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 <br/>
 <br/>
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>


Deloitte

<div>Our Deloitte Strategy &amp; Transactions team helps guide clients through their most critical moments and transformational initiatives. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, government operations modernization, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&amp;A), and sustainability. Work alongside clients every step of the way, helping them navigate new challenges, avoid financial pitfalls, and provide practical solutions at every stage of their journey-before, during, and after any major transformational projects or transactions.<br>
<br>
<b>Work You'll Do
</b><br>
<br>
<ul><li>Work on complex datasets; apply statistical and data mining techniques for data exploration and preparation.</li></ul><br>
<ul><li>Perform data quality analysis, build models, and perform ground-truth comparisons to validate assumptions and outputs.</li></ul><br>
<ul><li>Use data visualization to understand distributions and patterns and communicate findings to project leads and stakeholders.</li></ul><br>
<ul><li>Write efficient, scalable, near production-ready code over large datasets.</li></ul><br>
<ul><li>Maintain strong code documentation practices to enable collaboration and future development.</li></ul><br>
<ul><li>Partner with product managers, engineers, and stakeholders to translate business needs into data-driven solutions.</li></ul><br>
<ul><li>Contribute to the team's success through proactive execution, collaboration, and continuous improvement.</li></ul><br>
<b>
The Team
</b><br>
<br>
Deloitte's Government &amp; Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, &amp; local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.<br>
<br>
Our Strategy offering architects bold strategies to achieve business and mission goals, enabling growth, competitive advantage, technology modernization, and continuous digital and AI transformation.<br>
<br>
The Prism Products portfolio is a group of AI-powered population insight solutions, including HealthPrism, PeoplePrism, Candidate360, and GivePrism, that enable cross-sector clients to better understand and tailor services to the populations they serve.<br>
<br>
<b>Qualifications
</b><br>
<br>
Required:
<br>
<ul><li>Bachelor's Degree or higher in Engineering, Computer Science, Statistics, Mathematics, or related quantitative field
</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
</li><li>Strong programming skills in Python (e.g., NumPy, Pandas, scikit-learn, Matplotlib, Seaborn, Plotly) and SQL for analysis, wrangling, and database work.
</li><li>2+ years' of advanced analytics and data wrangling.
</li></ul><br>
Preferred:<br>
<ul>
<li>Strong fundamentals in statistical and ML algorithms.
</li><li>Familiarity with ML model deployment in a cloud environment.
</li><li>Hands-on experience with prompt engineering and LLM applications such as RAG.<br>
Experience working in Google Cloud Platform
</li>Strong problem-solving skills with emphasis on product development.<br>
<li>
</li></ul><br>
<br>
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html</div>

Junior Data Scientist - Government & Public Services

The Home Depot

<div><b>Position Purpose:</b><p>
The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
<br>
As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level.</p><b><br>
Key Responsibilities:</b><ul><li>
70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge</li><li>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation</li><li>
10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings</li></ul><br>
<b>
Direct Manager/Direct Reports:</b><ul><li>
This position reports to manager or above
</li><li>This position has 0 direct reports</li></ul><br>
<b>
Travel Requirements:</b><ul><li>
No travel required.</li></ul><br>
<b>
Physical Requirements:</b><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><br>
<b>
Working Conditions:</b><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
</li></ul><br>
<b>Minimum Qualifications:</b><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul><br>
<b>
Preferred Qualifications:</b><ul><li>
Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
3+ years of experience in business intelligence and analytics</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Experience running queries against data (preferably with Google BigQuery or SQL)</li><li>
Experience in predictive modeling, data mining and data analysis</li><li>
Experience with data visualization software (preferably Tableau)</li><li>
Experience utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Basic knowledge or exposure to predictive modeling, data mining and data analysis</li></ul><br>
<b>
Minimum Education:</b><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul><br>
<b>
Preferred Education:</b><ul><li>
No additional education</li></ul><br>
<b>
Minimum Years of Work Experience:</b><ul><li>
0</li></ul><br>
<b>
Preferred Years of Work Experience:</b><ul><li>
No additional years of experience</li></ul><br>
<b>
Minimum Leadership Experience:</b><ul><li>
None</li></ul><br>
<b>
Preferred Leadership Experience:</b><ul><li>
None</li></ul><br>
<b>
Certifications:</b><ul><li>
None</li></ul><br>
<b>
Competencies:</b><ul><li>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Associate Data Scientist - Solutions Strategy

<div></div><div><div><div><div><ul><div>1 Opening</div>
 <div>Chicago</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p><b>Data Scientist (Python Developer)</b></p>
<p><b>
Associate I - Data Science</b></p><br>
<p></p>
<p><b>
Who We Are:</b></p>
<p>
Born digital, UST transforms lives through the power of technology. We walk alongside our clients and partners, embedding innovation and agility into everything they do. We help them create transformative experiences and human-centered solutions for a better world.</p>
<p>
UST is a mission-driven group of 29,000+ practical problem solvers and creative thinkers in more than 30 countries. Our entrepreneurial teams are empowered to innovate, act nimbly, and create a lasting and sustainable impact for our clients, their customers, and the communities in which we live.</p>
<p>
With us, you&rsquo;ll create a boundless impact that transforms your career&mdash;and the lives of people across the world.</p>
<p>
Visit us at UST.com.</p><br>
<p></p>
<p><b>
You Are:</b></p>
<p>
The Data Scientist (Entry Level) will work as a team member on managed outcome- and capacity-based data analytics and data science initiatives, including projects, Proof of Concepts (POCs), and Minimum Viable Products (MVPs).</p><br>
<p></p>
<p><b>
The opportunity:</b></p>
<ul><li> Data Science &amp; Analytics
</li></ul><ul><li> Delivery Participate as a team member in data analytics and data science projects, including managed outcome and capacity-based engagements.
</li></ul><ul><li> Support the development and execution of POCs and MVPs to validate analytical approaches, models, and hypotheses. Assist in translating business and scientific problems into data-driven analytical solutions under supervision. Perform data exploration, data preparation, and feature engineering to support analytics and modeling activities.</li></ul>
<ul><li> Development &amp; Implementation
</li></ul><ul><li> Develop and maintain analytical scripts, models, and workflows using Python and relevant data science libraries. Implement statistical, machine learning, or analytical techniques as guided by senior data scientists or architects.
</li></ul><ul><li> Support model testing, validation, and refinement to ensure accuracy and reliability of outputs. Contribute to code reviews, documentation, and version-controlled development practices.</li></ul>
<ul><li> Collaboration &amp; Stakeholder
</li></ul><ul><li> Support Work closely with senior data scientists, data engineers, and cross functional delivery teams. Participate in team discussions, sprint ceremonies, and knowledge sharing sessions. Support communication of analytical findings through clear documentation, visualizations, and presentations as needed.</li></ul>
<ul><li> Learning &amp; Continuous Improvement</li></ul>
<ul><li> Learn and apply industry best practices in data science, analytics, and responsible data usage. Stay current with emerging tools, frameworks, and techniques relevant to data science and analytics. Actively seek feedback and mentorship to improve technical and professional capabilities.</li></ul><br>
<p></p>
<p>
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.</p><p><br>
</p><p><b>What you </b><b>need:</b></p>
<ul><li> Strong foundational knowledge of Python for data analysis and development
</li></ul><ul><li> Familiarity with Python libraries such as Pandas, NumPy, Matplotlib/ Seaborn, Scikit-learn Understanding of basic statistics, probability, and data analysis concepts
</li></ul><ul><li> Exposure to data wrangling, exploratory data analysis (EDA), and data visualization
</li></ul><ul><li> Basic understanding of machine learning concepts (supervised and unsupervised learning)</li></ul>
<ul><li> Technical Skills (Good to Have)</li></ul>
<ul><li> Exposure to Jupyter Notebooks or similar analytical environments
</li></ul><ul><li> Familiarity with SQL or basic database querying concepts
</li></ul><ul><li> Awareness of cloud-based analytics or data platforms (AWS, Azure, GCP - conceptual level)
</li></ul><ul><li> Exposure to version control systems such as Git
</li></ul><ul><li> Basic knowledge of data pipelines or data engineering concepts</li></ul>
<ul><li> Educational Qualifications:</li></ul>
<ul><li> Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field Relevant academic projects, internships, or certifications in data science or analytics are a plus</li></ul>
<ul><li> Experience:</li></ul>
<ul><li> 0-2 years of experience in data science, analytics, or related roles
</li></ul><ul><li> Entry-level candidates, recent graduates, or early-career professionals are encouraged to apply</li></ul><br>
<p></p>
<p>
Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below.</p>
<p><b>
Role Location:</b><b> </b><b>Illinois</b></p>
<p><b>
Compensation Range</b>: $56,000-$84,000</p><br>
<p></p>
<p><b>
Benefits</b></p>
<p>
Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico.</p>
<p>
Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) Retirement Plan with employer matching.</p>
<p>
Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company&rsquo;s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance.</p>
<p>
Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year).</p>
<p>
All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws.</p><br>
<p></p>
<p><b>
What we believe:</b></p>
<p>
We proudly embrace the values that have shaped UST since day one. We build our culture of Humility, Humanity, and Integrity. These values inspire us to nurture a people-first, human centric culture that fosters diversity, prioritizes sustainable solutions, and keeps our people and clients at the forefront of all decisions.</p><br>
<p></p>
<p><b>
Humility:</b></p>
<p>
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.</p>
<p><b>
Humanity:</b></p>
<p>
Through business, we will better the lives of those less fortunate than ourselves.</p>
<p><b>
Integrity:</b></p>
<p>
We honor our commitments and act with responsibility in all our relationships.</p><br>
<div></div>
<div><b>
Equal Employment Opportunity Statement</b></div><div><br>
UST is an Equal Opportunity Employer.</div><br>
<div></div>
<p>
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and &ldquo;fair chance&rdquo; ordinances.</p>
<div>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div><br>
<div></div>
<div>
#UST</div>
<div>
#CB</div>
<div>
#LI-VK5</div></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>data science,python,numpy,scikit-learn,data wrangling,exploratory data analysis,data visualization,</p></div>
<h3 class="jobSectionHeader"><b>Benefits</b></h3>
<h3 class="jobSectionHeader"><p><b>Compensation range: $ 56,000.00 to 84,000.00 per year</b></p></h3></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Data Scientist (Python Developer)

Tekla Research, Inc.

<p>Desired Functions: Data Engineer and Analysis Liaison, Computer/Data Scientist, System Analyst, or Engineer, Junior level.<br>
<br>
Works for the Data Division under the NAVAIR Mission Systems Test and Evaluation Department (MSTED), physically recovering data storage devices at the end of test events, downloading, formatting, confirming data integrity, storing in proper locations, communicating with and coordinating with different test teams, and as directed filtering or running analysis tools.<br>
<br>
A bachelor's degree is not required for this position.<br>
<br>
Engineering Technician/Junior Level:<br>
Perform standardized or prescribed assignments involving a sequence of related operations, follow standard work methods/processes/instructions on recurring assignments. Extract engineering data from various prescribed but non-standardized sources, processing the data following well-defined methods, and presenting the data in prescribed form.<br>
<br>
Computer Scientist/Junior Level:<br>
Analyze science, engineering, business, and other data processing problems to develop and implement solutions to complex applications problems, system administration issues, or network concerns. Perform systems management and integration functions, improve existing computer systems, and review computer system capabilities, workflow, and schedule limitations. May analyze or recommend commercially available software.<br>
<br>
Data Scientist/Junior Level:<br>
Identifying the methods, processes, algorithms, tools, and systems to extract and interpret findings from varied structured and unstructured data sets related to the data science lifecycle. Work also involves the development of algorithms and/or tools to support data manipulation and processing as well as the use of data visualization techniques to articulate findings. The primary requirements of the work are applying<br>
professional knowledge of computer science and mathematical and statistical theories, techniques, and methods to gather, analyze, design and construct new processes for modeling, interpret, and/or report quantitative information, trends, relationships and<br>
correlations among or within data sets.<br>
<br>
System Analyst/Junior Level:<br>
Applies knowledge of analytical methodologies, management principles, hardware and software systems structures and operation, and aircraft systems or requirements to solve project problems. Addresses scientific, engineering or business objectives and interfaces with project teams to address project objectives. Independently uses mathematical and programmatic approaches to define, plan, organize, design, develop, modify, test, and integrate systems.<br>
Directly researches unconventional applications for designing and developing new methodologies, modifications, or adaptations of standardized techniques. Directly develops project plans, guidelines, and controls. May manage and supervise contractor personnel providing this function.<br>
<br>
Engineer/Junior Level:<br>
Perform engineering duties in designing, constructing, and testing aircraft, missiles, and spacecraft. May conduct basic and applied research to evaluate adaptability of materials and equipment to aircraft design and manufacture. May recommend improvements in testing equipment and techniques. Possible Functional Descriptions Aerospace, Chemical, Electrical, Electronics, Industrial, Materials, Mechanical Engineers and All Others<br>
<br>
<b>Benefits:</b><br>
Medical, Dental, &amp; Vision Plan, short- and long-term disability, accidental death &amp; dismemberment, 401K retirement &amp; matching, Tuition assistance program, direct deposit, leave package and 11 paid federal holidays.<br>
<b>Salary:</b><br>
The projected salary range for this position is $60,000-$100,000; however, this is not a guarantee of salary. Salary will be set based on education, experience and contractual requirements.</p>

MQ-9/T-45/CH-53 Data Lab Technician

Haystack

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  <strong>
   Lead Decision Scientist
  </strong>
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 </p>
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  We're working with a global industrial powerhouse pioneering the future of aviation and sustainable energy on this exciting opportunity
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  .
  <br/>
  We are seeking a high-impact Lead Decision Scientist to revolutionize commercial decision-making through advanced AI and machine learning. You will architect scalable solutions across pricing, sales, and strategy, utilizing Python, SQL, and sophisticated optimization models to drive billion-dollar business outcome
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   s.
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   The R
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  ole&bull; Lead the design and deployment of end-to-end machine learning models and optimization solutions to enhance growth, margin, and commercial productivi
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  ty.&bull; Collaborate with commercial stakeholders and analytics engineers to translate complex business problems into high-performance AI tools and decision-support syste
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  ms.&bull; Provide technical mentorship and leadership to a squad of Data Scientists and Analysts within a dedicated Commercial Analytics L
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  ab.&bull; Execute on a high-stakes Commercial AI roadmap, leveraging Honeywell Forge software ecosystems to build predictive and prescriptive mode
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  ls.&bull; Drive the technical strategy for data platform integration, ensuring analytics products are scalable, robust, and deliver actionable insigh
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  <strong>
   ts.
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   What You'll
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  Need&bull; Extensive experience in Data Science or Decision Science, with a proven track record of delivering AI solutions in a commercial, aerospace, or industrial sett
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  ing.&bull; Proficiency in Python, R, and SQL for advanced data manipulation, statistical modeling, and machine learning developm
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  ent.&bull; Deep expertise in optimization techniques, predictive modeling, and building decision-support tools for complex pricing or supply chain environme
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  nts.&bull; Strong leadership skills with the ability to mentor junior talent and influence senior executive stakeholders across business segme
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  nts.&bull; Experience with cloud-based data platforms and scaling analytics products from prototype to production-grade softw
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  <strong>
   are.
   <br/>
   What's On
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  Offer&bull; Remote-friendly flexibility based out of a major innovation hub in Pho
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  enix.&bull; The opportunity to lead AI initiatives for a company recognized for global leadership and diver
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  sity.&bull; A high-visibility role where your models directly impact global energy transition and the future of fl
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  ight.&bull; Competitive compensation and a robust mentorship culture within a Fortune 100 ecosy
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  <br/>
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  <strong>
   stem.
   <br/>
   Apply via Haystack
  </strong>
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  <br/>
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 today!
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