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data scientist

Garmin

<div>Overview:
<div>
We are seeking a full-time Data Scientist 2 in our Olathe, KS location. In this role, you will be responsible for analyzing complex data sets, developing machine learning models, and collaborating with cross-functional teams to provide actionable insights and AI solutions. In addition, under guidance or with minimal supervision, this role will apply machine learning, statistical analysis, and data engineering techniques to address challenging business problems.</div><div></div><div> 
As a Data Scientist on our team, you will help create health and fitness features that make complex data easy to understand and actionable for everyday users. You&rsquo;ll analyze biometric and activity data from Garmin devices to develop insights and predictive models that enhance user experience and motivate healthier lifestyles. Working closely with product teams, you&rsquo;ll translate data into clear, personalized recommendations and engaging features that empower people to track and improve their health and fitness goals. This role is perfect for someone passionate about turning data into meaningful, user-friendly health solutions.</div>
Responsibilities:
<div>
Essential Functions</div><ul><li>
Under guidance or with minimal supervision, lead the collection, cleaning, and preprocessing of large datasets from diverse sources</li><li>
Conduct advanced exploratory data analysis (EDA) to identify trends, patterns, and anomalies that inform modeling efforts</li><li>
Design, implement, and refine predictive models using machine learning and statistical methodologies</li><li>
Collaborate with cross-functional teams to translate data-driven insights into product and strategy recommendations</li><li>
Design and deploy data pipelines for annotation, training and evaluation, and automate workflows to enhance efficiency</li><li>
Explore, evaluate, and experiment with emerging data science techniques, algorithms, and tools to improve model performance</li><li>
Support integration of models into production systems by coordinating with functional and technical teams and monitoring performance post-deployment</li><li>
Assist in developing and maintaining processes and tools to ensure model performance, reliability, and data quality</li><li>
Create and present compelling data visualizations and reports using advanced graphics and visualization tools</li><li>
Identify and leverage both internal and external datasets to drive innovation and support business solutions</li><li>
Contribute to the development of custom machine learning models and algorithms across diverse datasets</li><li>
Apply predictive modeling to improve user experiences, support revenue growth, and enable data-driven insights</li><li>
Support the definition of project scope and business expectations based on data-driven insights</li><li>
Provide mentorship and share best practices with junior team members under the guidance of senior staff</li><li>
Participate in peer reviews and contribute to the continuous improvement of team processes</li><li>
Demonstrate a commitment to ongoing learning of new technologies, frameworks, and methodologies</li><li>
Ensure data quality, adherence to governance standards, and compliance with data privacy and AI-related regulations</li></ul>
Qualifications:
<div>
Basic Qualifications</div><ul><li>
Bachelor's Degree in Engineering, Mathematics, Statistics, or another relevant technical field AND a minimum of 1 year of relevant experience OR an equivalent combination of education and relevant experience</li><li>
Excellent academics (cumulative GPA greater than or equal to 3.0 as a general rule)</li><li>
Experience using systems such as SQL, Python, or R</li><li>
Strong knowledge of machine learning frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch)</li><li>
Demonstrated understanding of advanced descriptive and inferential statistics</li><li>
Demonstrates expert knowledge in data analysis methods and tools</li><li>
Demonstrated strong and effective verbal, written, and interpersonal communication skills</li><li>
Must be team-oriented, possess a positive attitude, and work well with others</li><li>
Driven problem solver with proven success in solving difficult problems</li><li>
Consistently demonstrates quality and effectiveness in work documentation and organization</li></ul><div>
Desired Qualifications</div><ul><li>
Experience with structured database management systems</li><li>
Experience with applying statistical methods (e.g. time series analysis, NLP, deep learning, or reinforcement learning)</li><li>
Hands-on experience with MLOps, model deployment, and CI/CD for data science workflows</li><li>
Exposure to distributed computing (e.g., Spark, Dask) and NoSQL databases</li><li>
Understanding of A/B testing and causal inference</li><li>
Experience working with unstructured data (text, images, audio, etc.)</li><li>
Familiarity with data visualization tools (i.e. Matplotlib, Seaborn)</li></ul><div></div><div> 
Garmin International is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, veteran's status, age or disability. 
 
This position is eligible for Garmin's benefit program. Details can be found here: Garmin Employment Benefits</div></div> <div id='job-id'>Job Id: /DTrdPdFVqbzy2+p6i2GietLPBrLPC2AwhHSNJboq5HWZjRUGkqolmMsat3akBWnz1ldJOoM2WCsaesj86QMYbcMFgnyGQ29Ph+StLf66IqTdEKd0OfrVlnZbWOLsm/1y3HhmNciDEGfUkhVegmmPxeBAIhxOXTaElZ8UOA/PmHiCQAyOx74YSGsM5ZRfieVAtaXsPwm0cHp+wsfNp96gBL48NNuuyDy8Q2s83I7gXJGQcmhdH/n6sq8Oau9Vod+tyjFQP2sCXqh9KiVSDQlIoJgWQ==</div>

Data Scientist 2

Booz Allen Hamilton

<div>Data Scientist
The Opportunity:
As a data scientist, you&rsquo;re excited at the prospect of unlocking the secrets held by a data set, and you&rsquo;re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors&mdash;from fraud detection to cancer research to national intelligence&mdash;we need you to help find the answers in the data.
On our team, you&rsquo;ll use your leadership skills and data science expertise to create real-world impact. You&rsquo;ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You&rsquo;ll guide teammates and lead the development of algorithms and systems. You&rsquo;ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you&rsquo;ll provide a deep understanding of the data, what it all means, and how it can be used.
Work with us as we use data science for good.
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
3+ years of experience with programming languages, including Python, C++, Java, or R</li><li>
Experience working with structured, unstructured, or semi-structured data, and conducting analysis</li><li>
Experience with data wrangling techniques to cleanse data for data science applications</li><li>
Experience with building statistical models and developing machine learning algorithms, including supervised, unsupervised, or reinforcement</li><li>
Experience with designing and executing machine learning models and applications</li><li>
Knowledge of the software development life cycle, testing, and version control</li><li>
Ability to travel 10% of the time</li><li>
TS/SCI clearance</li><li>
HS diploma or GED</li></ul>
Nice If You Have:<ul><li>
Experience with distributed programming languages, including Spark or Scala</li><li>
Experience with data orchestration tools, including Airflow</li><li>
Experience with data engineering and data science tools, including Databricks, ElasticSearch, Apache NiFi, or StreamSets</li><li>
Experience with business intelligence tools, including Tableau or Qlik</li><li>
Experience with data lakes, data warehouses, or data lake houses</li><li>
Experience with cloud services like AWS, Azure, or Google Cloud</li><li>
Experience with enterprise DataOps, DevSecOps, and MLOps processes to operationalize and monitor data science models</li><li>
Experience with Agile development</li><li>
Experience with CI/CD, including Git, Jenkins, and Docker</li><li>
Ability to quickly learn new skillsets to solve challenging problems</li></ul>
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, 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, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Work Model 
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.<ul><li>
If this position is listed as remote or hybrid, you&rsquo;ll periodically work from a Booz Allen or client site facility.</li><li>
If this position is listed as onsite, you&rsquo;ll work with colleagues and clients in person, as needed for the specific role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div> <div id='job-id'>Job Id: SjKEOTsan+hPVigJ1A7FHGUSyH37V+wUdBtkyNMNgfTHEfkwwltXwZQLxJewQRmssVp+TQOv0LbgWih6HFJWNb4loyUKEAOJLk+qO4zztQrj49GYVdZBhQ==</div>

Data Scientist

Qode

About the Role: 
We are seeking a highly skilled Data Scientist with expertise in Python, R, and PySpark to join our analytics team for a leading banking client. The ideal candidate will leverage advanced analytics, machine learning, and big data technologies to design data-driven solutions, generate actionable insights, and support strategic decision-making in areas such as risk management, fraud detection, customer segmentation, and credit scoring.
 
Key Responsibilities: 
Work with large-scale structured and unstructured datasets to design, develop, and deploy predictive and prescriptive models.Apply statistical modeling, machine learning, and data mining techniques to address complex business problems in banking.Develop and optimize data pipelines and ETL processes using PySpark for efficient big data processing.Perform exploratory data analysis (EDA), feature engineering, and hypothesis testing using Python and R.Partner with business stakeholders to translate requirements into analytical solutions.Create visualizations and dashboards to communicate insights to technical and non-technical audiences.Ensure compliance with data governance, privacy, and security standards in all analytics work.
 
Required Skills & Qualifications: 
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or related field. 3–7 years of experience as a Data Scientist, ideally within the banking or financial services domain.Strong programming skills in Python and R, including libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, ggplot2, and caret.Hands-on experience with PySpark for distributed data processing and analysis.Strong statistical and mathematical foundation in regression, classification, clustering, time-series analysis, and hypothesis testing.Experience working with large datasets, big data platforms (Hadoop, Spark), and SQL/NoSQL databases.Familiarity with cloud platforms (AWS, Azure, or GCP) and version control (Git).Excellent problem-solving, communication, and stakeholder management skills.Good to have Experience in risk analytics, fraud detection, credit risk modeling, or customer analytics in banking/financial services. <div id='job-id'>Job Id: Q2efr//PxSADnBLfqqcR3GrXRIVBmHBfXyJlPpJEqq3A2xpGlJl5AainBd7ThwW/fJMxKabZFT9CanvRn3WO00STHA==</div>

Equifax

<div></div><ul><div>Atlanta
</div><div></div><div>United States of America
</div><div></div><div>Data &amp; Analytics
</div><div></div><div>Full time
</div><div></div><div>8/12/2025
</div><div></div><div>J00170158</div></ul>
 <div><div>Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.
Our Data Scientist roles are unique. The ideal candidate is a rare hybrid, a scientist with the programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within.
He or she will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data, what secrets it holds, and to push the boundaries of what is possible with big data. Want to know more?
This role requires being in our Atlanta, Georgia office (One Atlantic Center) 3 days/week on Tues - Thurs.
This role is not approved for sponsorship now or in the future including candidates on OPT time.
 
 
What You&rsquo;ll Do:
<ul><li>Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions
</li><li>Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise. Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities.
 
Lead the development or projects with multiple deliverables, leveraging business and technical expertise.
</li><li>Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions
</li><li>Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users
</li><li>Communicate results to external stakeholders and mid level leadership, able to communicate business impact of work
</li><li>Evaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracy 
</li></ul> 
What experience you need
<ul><li>BS degree in a STEM major or equivalent discipline
</li><li>5-7 years of experience in a related analytical role
</li><li>Proven track record of designing and developing predictive models in real-world applications
</li><li>Experience with model performance evaluation and predictive model optimization for accuracy and efficiency
</li><li>Cloud certification strongly preferred
</li><li>Additional role-based certifications may be required depending upon region/BU requirements 
</li></ul> 
What could set you apart
<ul><li>Passion for data science, data mining, machine learning and experience with big data architectures and methods
</li><li>A Master's degree in a quantitative field (Statistics, Mathematics, Economics)
</li></ul>We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.
Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!
Who is Equifax?

At Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence.
We work to help create seamless and positive experiences during life&rsquo;s pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best.

Equifax is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.</div></div> <div id='job-id'>Job Id: 6TIkD9Kj+oyDitdJMfl5R0trb02zcpw1GUabMpAPnuMCQ7Iyr5LTeg7noVqGQ0us670ONtlScHOCmvp09oE7gmwDAcLLXSnmaWNhYoLpjgWMcfoXrXpsXtg=</div>

SAIC

<div>Job ID: 2509011
Location: HONOLULU, HI, US
Date Posted: 2025-08-21
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-time
Shift: Day Job
Travel: Yes, 10 % of the Time
Minimum Clearance Required: Secret
Clearance Level Must Be Able to Obtain: TS/SCI
Potential for Remote Work: No 
Description
SAIC is seeking a Data Scientist located in Pearl City, HI to support the USINDOPACOM J7 Directorate to manage the collection, cleaning, processing, and analysis of large datasets to extract insights and ensure data integrity and accuracy.

JOB DESCRIPTION:
<ul><li>Develop and deploy predictive models, algorithms, and real-time support systems for operations, enhancing efficiency and providing actionable insights.</li>
<li>Collaborate with cross-functional teams to identify data-driven opportunities, conduct research, apply emerging technologies, and optimize dashboards for stakeholder communications.</li>
<li>Assist the INDOPACOM J7 Analyst Team with data collection, tracking, and analysis, generating reports to support operational needs, including financial document preparation for contract approvals.</li>
<li>Oversee contract labor tracking, travel management, Official Representation Funds (ORF) monitoring, requirements processing, and reconciling accounts and programs, supporting integrated financial systems and resource management tasks.</li>
<li>Manage supply requests via ERP systems, prepare and present slides for meetings, support the Defense Travel System (DTS) documentation review, ensure correct line-of-accounting charges, and assist with military and civilian award packages.</li>
</ul>
Qualifications
REQUIRED EDUCATION AND EXPERIENCE:
<ul><li>Bachelor&rsquo;s degree and five (5)+ years of experience; additional four years of experience accepted in lieu of degree.
</li><li>Experience in data science and/or analytics roles.</li>
<li>Proficiency in programming languages such as Python, R, and SQL.</li>
<li>Extensive experience with data visualization tools like Tableau, Power BI, or similar platforms.</li>
<li>Strong knowledge and practical experience with statistical techniques, machine learning, and data science methodologies.</li>
<li>Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).</li>
<li>High level of discretion and confidentiality in handling sensitive information.</li>
</ul>
DESIRED SKILLSET:
<ul><li>Experience with Department of Defense (DoD) software and systems.</li>
<li>Familiarity with cloud platforms and big data technologies.</li>
<li>Strong analytical and problem-solving skills for implementing process improvements.</li>
<li>Experience with financial systems, including SMARTS and SABRS.</li>
<li>Practical experience in awards packaging, administrative package preparation, and maintaining personnel databases.</li>
</ul>
REQUIRED CLEARANCE:
<ul><li>Must have an active Secret clearance with the ability to obtain a TSSCI.
</li><li>Must have Current US Citizenship.
</li></ul> 
Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.</div>

Stryde Group

About Stryde GroupStryde Group is a full-service insurance brokerage headquartered in Frisco, Texas. We specialize in both health &amp; welfare and property &amp; casualty insurance programs, serving clients with group insurance premiums ranging from $250,000 to $15,000,000.Our mission is to deliver innovative solutions that help businesses manage risk, reduce costs, and create smarter benefit strategies. At Stryde, we combine deep industry expertise with data-driven insights to deliver exceptional value to our clients.About the RoleWe are seeking a Data Scientist to join our growing team. This role is highly visible and impactful as your analysis and models will directly shape client outcomes, underwriting decisions, and business growth strategies.You&rsquo;ll work closely with finance, actuarial, and underwriting teams to:<ul><li>Build predictive models</li><li>Analyze claims &amp; loss data</li><li>Design tools and dashboards that support smarter decision-making across the brokerage</li></ul>Qualifications<ul><li>Master's or PhD in Data Science, Statistics, Applied Mathematics, Computer Science, or related field OR equivalent related experience in lieu of higher learning</li><li>Minimum 5 years professional experience with references available</li><li>Proficiency in Python, R, SQL</li><li>Experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch)</li><li>Strong data visualization skills (Power BI, Tableau, or similar)</li><li>Excellent problem-solving and communication skills</li></ul>Preferred Qualifications<ul><li>Experience working in insurance, healthcare claims, or actuarial data</li><li>Familiarity with underwriting, pricing models, and insurance risk metrics</li><li>Knowledge of big data platforms (Snowflake, Databricks, Spark)</li><li>Background in automating recurring processes and reporting</li></ul>Skills &amp; Abilities<ul><li>Strong ability to communicate complex data insights in clear, simple terms for non-technical audiences</li><li>Collaborative mindset with the ability to work cross-functionally across underwriting, finance, actuarial, and client service teams</li><li>Skilled at storytelling with data turning raw analysis into compelling insights and recommendations</li><li>Team-oriented, with a focus on problem-solving and shared success</li><li>Self-starter who thrives in a fast-paced environment and can manage multiple priorities</li></ul>Why Stryde Group?<ul><li>Competitive salary + performance-based incentives</li><li>Full benefits package (health, dental, vision, etc.)</li><li>Opportunities for career advancement within a rapidly scaling brokerage</li><li>A collaborative, innovative culture that values data-driven decision-making</li><li>Direct impact as your work will be seen and felt at both external and internal decision-making levels</li></ul>Equal Opportunity EmployerStryde Group is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.Job Type: Full-timePay: $80,000.00 - $100,000.00 per yearBenefits:<ul><li>Dental insurance</li><li>Employee assistance program</li><li>Flexible schedule</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Professional development assistance</li><li>Vision insurance</li></ul>Work Location: In person <div id='job-id'>Job Id: TewkAJ7TyeFIhh3gdL6GyIc1xZJtHgPUOrLCFf/GWt894BU2AGMWLdhuM/NBws0KJP45maF68ttXqSUnXUEolUlXTREMWJkCuEpOl96wb38OJZjLdA==</div>

University of Maryland Global Campus

<div><div><div>Job Ref:</div>
<div>10023776</div>
<div>Location:</div>
<div>Adelphi, MD</div>
<div>Category:</div>
<div>IT and Project Management</div>
<div>Type:</div>
<div>Full time</div>
</div>
<div><div>Data Scientist
Data Science - ITUS Exempt RegularFull timeStateside Exempt 5.1Location: Adelphi, MD (Hybrid)
Summary:
This is an opportunity to build and manage critical tools, processes, and systems that will support the ongoing success of our largest customers. The Data Scientist will design and implement data collection and reporting systems to continuously enhance the quality and breadth of data-informed decisions and communications. Additionally, they will conduct analyses in order to inform day-to-day practice, drive strategy and policy, and monitor key program and student outcomes. The Data Scientist will also serve as the internal lead on accessing key data systems and will be responsible for managing on-demand data requests to answer key questions about the initiatives and operations of our largest customers.
Duties and Responsibilities:<ul><li>
Develop processes to systematically collect, archive, and report data.</li><li>
Work formatively with internal management around the development of appropriate analysis</li><li>
questions and meaningful performance indicators.</li><li>
Analyze and visualize data on a project basis to enhance understanding of and usage by key stakeholders.</li><li>
Collaborate with internal program staff around all analysis activities.</li><li>
Prepare and disseminate analysis reports, briefs, and presentations; communicate results meaningfully to various audiences both internal and external.</li><li>
Engage in capacity building with internal staff around using data to inform practice and</li><li>
strategy.</li><li>
Analyze system data, handle data requests and special analyses, and provide data and reports to external partners.</li><li>
Assist in determining key future analyses and metrics based on findings from external research, literature reviews, and collaboration with external partners.</li></ul>
Skills:<ul><li>
Ability to communicate analysis findings, both written and orally, to a broad range of audiences including field staff, internal management, senior leadership, funders, and researchers. Excellent communication skills are essential.</li><li>
Ability to conduct multiple projects concurrently, both independently and as a member of a team.</li><li>
Ability to work in a fast-paced environment, respond to multiple constituencies, and meet established deadlines.</li><li>
Strong analytical and problem-solving skills, including T-SQL querying and the use of other software such as SPSS or SAS.</li><li>
Proficient and creative data visualization abilities.</li><li>
Exceptional written, verbal, organizational, and technology skills.</li><li>
Ability to conduct multiple projects concurrently, both independently and as a member of a collaborative team. Able to balance competing priorities and deadlines.</li><li>
Compile and organize findings in graphs, charts, mock-ups, and diagrams.</li><li>
A track record of success as demonstrated by superior academic and professional achievement.</li><li>
Intense intellectual curiosity and desire to get to the root cause.</li><li>
Team player, comfortable working with a variety of people and capable of leading a group toward a common goal.</li><li>
Ability to function effectively in a large, complex organization.</li><li>
Ability to define problems, analyze data, and outline valid conclusions and action steps</li></ul>
Education &amp; Experience Requirements:
Experience:<ul><li>
5-7 years of experience developing and conducting data analysis and reporting.</li><li>
Knowledge of educational research and urban educational systems is beneficial.</li><li>
Experience with diverse technology stacks and adaptability are strongly preferred.</li><li>
Experience with data visualization tools such as Tableau desired.</li><li>
Experience with statistical tools such as R, SAS, MatLab, scipy (python) desired.</li><li>
Familiarity with sociological research methods is a bonus.</li></ul>
Preferred Experience Requirements:
Education:
<ul><li>Bachelor's Degree</li></ul>
Experience<ul><li>
Prior project management experience and/or experience in education preferred.</li></ul>
All submissions should include a cover letter and resume.
The University of Maryland Global Campus (UMGC) is an equal opportunity employer and complies with all applicable federal and state laws regarding nondiscrimination. UMGC is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, ancestry, political affiliation or veteran status in employment, educational programs and activities, and admissions.
Workplace Accommodations:
The University of Maryland Global Campus Global Campus (UMGC) is committed to creating and maintaining a welcoming and inclusive working environment for people of all abilities. UMGC is dedicated to the principle that no qualified individual with a disability shall, based on disability, be excluded from participation in or be denied the benefits of the services, programs, or activities of the University, or be subjected to discrimination. For information about UMGC's Reasonable Workplace Accommodation Policy or to request an accommodation, applicants/candidates can contact Employee Accommodations via email at employee-accommodations@umgc.edu.
Benefits Package Highlights:<ul><li>
Generous Time Off: Enjoy 22 days of paid vacation, 15 days of sick leave, 3 personal days, and 15 paid holidays (16 during general election years). For part-time employees, time off rates will be prorated based on the number of hours worked.</li><li>
Comprehensive Health Coverage: Access to health care, medical with vision, dental, and prescription plans for both individuals and families, effective from the 1st of the month following your hire date.</li><li>
Insurance Options: Term Life Insurance, Accidental Death and Dismemberment Insurance, and Long-Term Disability (LTD) Insurance. Part-time employees working less than 0.5 FTE are not eligible for LTD.</li><li>
Flexible Spending Accounts: Available for medical and dependent care expenses.</li><li>
Retirement Plans: Choose between the Optional Retirement Program (ORP) or the Maryland State Retirement and Pension System (MSRPS).</li><li>
Supplemental Retirement Plans: include 401(k), 403(b), 457(b), and various Roth options. The university does not provide matching funds.</li><li>
Tuition Remission: Immediate availability for Regular Exempt Staff. Spouses and dependent children are eligible for undergraduate tuition remission after two years of service. NOTE: For part-time employees (at least 50 percent of the time), tuition remission benefits are prorated.</li></ul>
Hiring Range:
$250,000.00 - $270,000.00</div></div></div> <div id='job-id'>Job Id: tykw//jRROgg2DGkqCcELCBm56HSjB1JZIPw/eKCUm/XR1Zvk6lmASqbFMWQnneVcPCKLBvXV61HIil82alwx1GraWrSRx2/xfCZQgt8jF1VxdOM0K4d+JX8KEFTl+iSvCbwSC+OECedL2GWuaFVZYEuWo+ieg==</div>

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