associate data scientist

OCLC

<div><div><h1 class="jobSectionHeader"><b>Together we make breakthroughs possible.</b></h1></div><p></p><div><p>
At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You&rsquo;ll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.</p></div><p></p><h1 class="jobSectionHeader"><b>
Why join OCLC?</b></h1><p>
OCLC is consistently recognized as a best place to work by several independent programs. We recognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions&mdash;performance, experience, and skills&mdash;along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.</p><ul><li><p>
We know the best ideas don&rsquo;t always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We&rsquo;re committed to your success&mdash;both personally and professionally. Hybrid work environment: For many roles, three days a week on-site, with occasional additional days based on business needs.</p></li><li><p>
Free use of our on-site ﬁtness center, gym sports, group exercise classes, and game room</p></li><li><p>
Onsite catering and cafeteria subsidized by OCLC</p></li><li><p>
Health and wellness events</p></li><li><p>
Work environments with individual and team spaces and the latest technology tools</p></li><li><p>
Paid parental leave and adoption assistance</p></li><li><p>
Tuition reimbursement and Public Service Loan Forgiveness eligibility</p></li><li><p>
Company-subsidized pricing on local tickets and memberships</p></li></ul><p></p><p>
Join us in transforming how people everywhere access information and be part of a mission-driven team that makes a global impact.</p><p></p><h1 class="jobSectionHeader"><b>
The job details are as follows:</b></h1>
As an Associate Data Scientist you will work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions<p></p><div><b>
Responsibilities:</b></div><div><div><div><div><ul><li>
Maintain OCLC&rsquo;s data platform with up-to-date, quality data</li><li>
Translate business problems to technical requirements to design rapid prototypes of reports and dashboards</li><li>
Build and maintain data models, reports, dashboards, and KPI/metrics from internal databases</li><li>
Write performant code that meets our internal standards for style, maintainability, and best practices for a high-scale data environment. Maintain and advocate for these standards through code review.</li><li>
Perform exploratory data analysis for quality assurance, reporting, and to inform the development of statistical and machine learning models</li><li>
Implement the DataOps philosophy in everything you do</li><li>
Create and maintain documentation for data science initiatives and data resources</li><li>
Collaborate with Data Scientists to drive efficiencies for their work</li></ul><p><b>
Requirements:</b></p><ul><li><div>
Bachelor&rsquo;s in a quantitative field (e.g., Engineering/CS/Math/Stats) + 2+ years in a data science role or Master&rsquo;s + 1+ year in a data science role</div></li><li><div>
Proficient in SQL for data warehouses</div></li><li><div>
Intermediate Python proficiency (pandas/numpy, scikit-learn; visualization with matplotlib/seaborn/plotly)</div></li><li><div>
Experience applying statistical and machine learning methods; solid grounding in probability and statistical inference</div></li><li><div>
Experience with hypothesis testing and designing/analyzing experiments</div></li><li><div>
Exposure to cloud environments and software engineering best practices (e.g., Git, code reviews, testing)</div></li><li><div>
Strong data storytelling and communication skills; comfortable working in agile, collaborative teams</div></li></ul></div></div></div></div><p></p><p><b>
Working Conditions:</b> Normal office environment.</p><p></p><p><b>
ADA/EAA: </b>The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties</p></div>

Associate Data Scientist

Information Technology Senior Management Forum

<div><div>Posted Date 7/28/2026
</div><div>Description Principal Associate, Data Scientist - Emerging ML
<p>Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.</p>
<p>As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.</p>
<p><b>Team Description</b></p>
<p>Emerging ML is the data science and machine learning team inside Capital One&rsquo;s Applied Research organization. We focus on research and development of new technologies within the domain of Artificial Intelligence with a focus on Embeddings and Foundation Models. We partner closely with our product and engineering teams to connect emerging technologies with business critical use cases across Capital One&rsquo;s lines of business.</p>
<p><b>Role Description</b></p>
<p>This is an individual contributor position. In Emerging ML, you will work at all phases of the data science lifecycle, including:</p>
<ul><li>Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to operationalize them in scalable and resilient production systems that serve 50+ million customers.</li>
<li>Partner closely with a variety of business and product teams across Capital One to conduct the experiments that guide improvements to customer experiences and business outcomes in domains like marketing, servicing and fraud prevention.</li>
<li>Write software (Python, Scala, e.g.) to collect, explore, visualize and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.) using tools like Spark and AWS.</li>
</ul><p><b>The Ideal candidate will be:</b></p>
<ul><li>Curious and creative. You thrive on bringing definition to big, undefined problems. You love asking questions, and you love pushing hard to find the answers. You&rsquo;re not afraid to share a new idea. You communicate clearly and effectively to share your findings with non-technical audiences.</li>
<li>Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms. You are not afraid of petabytes of data.</li>
<li>Statistically-minded. You have built models, validated them and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series analysis and deep learning.</li>
<li>Customer and product oriented. You share our passion for changing banking for good.</li>
</ul><p><b>Basic Qualifications:</b></p>
<ul><li>Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
<ul><li>A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</li>
<li>A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics</li>
<li>A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</li>
</ul></li></ul><p><b>Preferred Qualifications:</b></p>
<ul><li>Master&rsquo;s Degree in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li>
<li>At least 3 years of experience in Python, Scala, or R</li>
<li>At least 3 years of experience with machine learning</li>
<li>At least 3 years of experience with SQL</li>
</ul><p><b>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</b></p>
<p>The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science<br>
<p></p><br>
New York, NY: $176,500 - $201,400 for Princ Associate, Data Science<br>
<p></p><br>
San Jose, CA: $176,500 - $201,400 for Princ Associate, Data Science<p><br>
</p><p></p><br>
<br>
<br>
<br>
<br>
<br>
<br>
<p>Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
<p>Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
<p>If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p>
<p>For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p>
<p>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p>
<p>Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p>
Principal Associate, Data Scientist - Emerging ML
<p>Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.</p>
<p>As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.</p>
<p><b>Team Description</b></p>
<p>Emerging ML is the data science and machine learning team inside Capital One&rsquo;s Applied Research organization. We focus on research and development of new technologies within the domain of Artificial Intelligence with a focus on Embeddings and Foundation Models. We partner closely with our product and engineering teams to connect emerging technologies with business critical use cases across Capital One&rsquo;s lines of business.</p>
<p><b>Role Description</b></p>
<p>This is an individual contributor position. In Emerging ML, you will work at all phases of the data science lifecycle, including:</p>
<ul><li>Build machine learning models through all phases of development, from design through training, evaluation and validation, and partner with engineering teams to operationalize them in scalable and resilient production systems that serve 50+ million customers.</li>
<li>Partner closely with a variety of business and product teams across Capital One to conduct the experiments that guide improvements to customer experiences and business outcomes in domains like marketing, servicing and fraud prevention.</li>
<li>Write software (Python, Scala, e.g.) to collect, explore, visualize and analyze numerical and textual data (billions of customer transactions, clicks, payments, etc.) using tools like Spark and AWS.</li>
</ul><p><b>The Ideal candidate will be:</b></p>
<ul><li>Curious and creative. You thrive on bringing definition to big, undefined problems. You love asking questions, and you love pushing hard to find the answers. You&rsquo;re not afraid to share a new idea. You communicate clearly and effectively to share your findings with non-technical audiences.</li>
<li>Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms. You are not afraid of petabytes of data.</li>
<li>Statistically-minded. You have built models, validated them and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series analysis and deep learning.</li>
<li>Customer and product oriented. You share our passion for changing banking for good.</li>
</ul><p><b>Basic Qualifications:</b></p>
<ul><li>Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
<ul><li>A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</li>
<li>A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics</li>
<li>A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</li>
</ul></li></ul><p><b>Preferred Qualifications:</b></p>
<ul><li>Master&rsquo;s Degree in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li>
<li>At least 3 years of experience in Python, Scala, or R</li>
<li>At least 3 years of experience with machine learning</li>
<li>At least 3 years of experience with SQL</li>
</ul><p><b>Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</b></p>
<p>The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science<br>
<p></p><br>
New York, NY: $176,500 - $201,400 for Princ Associate, Data Science<br>
<p></p><br>
San Jose, CA: $176,500 - $201,400 for Princ Associate, Data Science<p><br>
</p><p></p><br>
<br>
<br>
<br>
<br>
<br>
<br>
<p>Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
<p>Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
<p>If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p>
<p>For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p>
<p>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p>
<p>Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p>
</div><div>Salary161,800.00 - 184,600.00 Annual
</div><div></div><div><div>Type
<div>Full-time</div></div></div></div>

Principal Associate, Data Scientist - Emerging ML

Boeing

<p></p><div><p>At Boeing, we innovate and collaborate to make the world a better place. We&rsquo;re committed to fostering an environment for every teammate that&rsquo;s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.</p>
<p><b>Boeing Defense, Space &amp; Security (BDS)</b> is hiring an <b>Associate</b><b>Engineering Data Scientist</b> for a Proprietary Program in <b>Saint Louis, MO</b>. We seek passionate, curious, and talented data scientists who want their job to have real-world impacts by solving complex, challenging, and meaningful data science problems. As a data scientist, you will play a crucial role in designing and leveraging digital data solutions in a distributed data system to maximize production and weapon system operational effectiveness. This position is onsite. The selected candidate will be required to perform work onsite at St Louis campus.</p>
<p><b>Position Responsibilities:</b></p>
<ul><li><p>Collaborate with cross-functional teams to identify and define data requirements, data collection methods, and data quality standards.</p>
</li><li><p>Build systems that enable conducting data analysis and exploration to identify patterns, trends, and insights that drive decision-making</p>
</li><li><p>Implement and deploy machine learning models, working closely with software engineering teams to integrate into customer environments.</p>
</li><li><p>Collaborate with subject matter experts to understand engineering domain knowledge and incorporate it into data analysis and modeling efforts.</p>
</li><li><p>Continuously evaluate and improve existing models and algorithms to enhance their accuracy, efficiency, and scalability.</p>
</li><li><p>Ensure data security, privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle.</p>
</li><li><p>Stay up-to-date with the latest advancements in data science, machine learning, and aerospace technologies to drive innovation and maintain a competitive edge.</p>
</li><li><p>Communicate findings, insights, and recommendations to technical and non-technical stakeholders through clear and concise reports, presentations, and visualizations.</p>
</li></ul><p></p><p><b>This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Hazelwood, MO.</b></p>
<p></p><p><b>Travel may be required up to 10% of the time; Domestically depending on business needs.</b></p>
<p></p><p><b>This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active).</b></p>
<p></p><p><b>To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.</b></p>
<p></p><p><b>Basic Qualifications (Required Skills/Experience):</b></p>
<ul><li><p>Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement</p>
</li><li><p>2+ years of professional experience in data science, artificial intelligence, or machine learning</p>
</li><li><p>Programming experience in one or more of the following: Python, Julia, R, C, C++, C#, Java.</p>
</li></ul><p></p><p><b>Preferred Qualifications (Desired Skills/Experience):</b></p>
<ul><li><p>Advanced degree (Master's or Doctorate) in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement</p>
</li><li><p>1+ years of experience in natural language processing</p>
</li><li><p>1+ years of experience in SQL or NoSQL Database Languages</p>
</li><li><p>Proficient with data visualization tools</p>
</li><li><p>Proficient in deep learning frameworks such as PyTorch and TensorFlow</p>
</li><li><p>Experience with generative AI models, including LLMs, for building knowledge-driven solutions.</p>
</li><li><p>Experience integrating models into customer environments, both on-prem and in cloud environments</p>
</li><li><p>Experience working in an agile software development team</p>
</li><li><p>Experience with MLOps and MLOps tool stack such as ClearML or MLFlow</p>
</li><li><p>Experience working in cloud computing environments such as Azure and AWS</p>
</li></ul><p></p><p><b>Conflict of Interest:</b></p>
<p>Successful candidates for this job must satisfy the Company&rsquo;s Conflict of Interest (COI) assessment process.</p>
<p></p><p><b>Drug Free Workplace:</b></p>
<p>Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.</p>
<p></p><p><b>Total Rewards:</b></p>
<p>At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.</p>
<p></p><p>The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.</p>
<p></p><p>The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.</p>
<p></p><p>Pay is based upon candidate experience and qualifications, as well as market and business considerations.</p>
<p></p><p>The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features:</p>
<ul><li><p>Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting</p>
</li><li><p>Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts.</p>
</li></ul><p></p><p><b>Summary pay range: </b>$102,000 - $138,000</p><br>
<br>
<p>Applications for this position will be accepted until <b>Aug. 12, 2026</b></p><br>
<br>
<p><b>Export Control Requirements:
</b></p><p>This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a &ldquo;U.S. Person&rdquo; as defined by 22 C.F.R. &sect;120.62 is required. &ldquo;U.S. Person&rdquo; includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.</p>
<p><b>Export Control Details:
</b></p><p>US based job, US Person required</p>
<p><b>Education
</b></p><p>Bachelor's Degree or Equivalent Required</p>
<p><b>Relocation
</b></p><p>This position offers relocation based on candidate eligibility.</p>
<p><b>Security Clearance
</b></p><p>This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)</p>
<p><b>Visa Sponsorship
</b></p><p>Employer will not sponsor applicants for employment visa status.</p>
<p><b>Shift
</b></p><p>This position is for 1st shift</p><br>
<br>
<p><b>Equal Opportunity Employer:</b></p>
<p>Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.</p></div>
<br><div><h2 class="jobSectionHeader"><b>Your Benefits</b></h2>
<p>No matter where you are in life, our benefits help prepare you for the present and the future.</p>
<ul><li>Generous company match to your 401(k).</li>
<li>Industry-leading tuition assistance program pays your institution directly.</li>
<li>Fertility, adoption, and surrogacy benefits.</li>
<li>Up to $10,000 gift match when you support your favorite nonprofit organizations.</li></ul><br>
<p>These programs are subject to eligibility requirements and other conditions, which may differ for employees of certain subsidiaries or business units, or union-represented employees depending on bargaining agreement terms. If this information conflicts with the program documents, the latter shall control. This material is informational only.</p></div>

Associate Engineering Data Scientist

GovCIO

<div>Overview:
<div>
GovCIO is currently hiring a highly experienced <b>SME Data Scientist</b> specializing in Microsoft Endpoint Configuration Manager (MECM) to support a mission-critical U.S. Coast Guard (USCG) program. This position will be located in Kearneysville, WV and will be a hybrid position.</div>
Responsibilities:
<div>The SME Data Scientist will leverage advanced analytics while managing and maintaining the MECM environment to ensure continuous operational readiness. Core responsibilities include:</div><ul><li>
Manage and maintain the MECM infrastructure to ensure consistent endpoint availability and system health across the enterprise.</li><li>
Deploy and monitor software packages, security updates, and critical patches to ensure all systems remain current and functional.</li><li>
Execute and maintain task sequences for automated OS deployments, focusing on consistent imaging and hardware compatibility.</li><li>
Operate and maintain dedicated test environments to validate updates and application configurations before production rollout.</li><li>
Conduct daily patch management operations, including scheduling deployments and resolving failed installations.</li><li>
Monitor and remediate endpoint compliance to ensure all systems adhere to organizational security policies and federal standards.</li><li>
Perform advanced troubleshooting for MECM client health, software distribution errors, and imaging failures.</li><li>
Utilize PowerShell scripts to automate routine administrative tasks and improve endpoint management efficiency.</li><li>
Keep detailed records of system configurations, operational procedures, and daily maintenance logs.</li><li>
Generate regular reports on deployment status, hardware inventory, and overall endpoint compliance.</li><li>
Develop predictive models to forecast endpoint failures, patch success rates, and potential deployment bottlenecks.</li><li>
Analyze large-scale telemetry data from MECM to discover trends, optimize hardware lifecycles, and identify systemic compliance risks.</li><li>
Build data pipelines and dashboards to transform raw MECM log data into actionable business intelligence for leadership.</li></ul>
Qualifications:
<div>
High School with 10+ years (or commensurate experience)<br>
<br>
<br>
</div><div><b>Required Skills &amp; Experience</b></div><ul><li>
DoD 8570 IAT Level II Certification (e.g., Security+ CE, CySA+).</li><li>
Hands-on experience architecting and managing MECM environments in large-scale enterprise settings.</li><li>
Strong understanding of Windows Server platforms (2012&ndash;2025) and core services (Active Directory, Group Policy, DNS).</li><li>
Experience with Windows imaging, task sequences, and driver management.</li><li>
Proficiency with VMware vSphere or Microsoft Hyper-V.</li><li>
Advanced scripting skills in PowerShell for automation and system management.</li><li>
Experience building and maintaining lab/test environments for validation and troubleshooting.</li><li>
Expertise managing patch cycles, update deployments, and compliance reporting.</li><li>
Strong communication skills with the ability to participate in technical discussions and translate requirements between stakeholders and engineering teams.</li></ul><div>
Clearance Required: Active Secret Clearance</div><div>
</div><div></div><div><b>
Preferred Skills &amp; Experience</b></div><ul><li>
Experience supporting U.S. Coast Guard or Department of Homeland Security (DHS) programs.</li><li>
Microsoft Certifications: Endpoint Administrator Associate, Windows Server Hybrid Administrator Associate.</li><li>
Knowledge of networking concepts, including load balancing and content distribution challenges.</li><li>
Strong analytical, problem-solving, and continuous improvement mindset.</li></ul>
Posted Salary Range: USD $160,000.00 - USD $210,000.00 /Yr.</div>

SME Data Scientist (MECM)

Hillcrest HealthCare System

<div>Overview:
<div>
Join our team as a day shift, full-time, Medical Laboratory Scientist in Tulsa, OK.</div><div></div><div><b><br>
Why Join Us?</b></div><div></div><div><b><br>
Thrive in a People-First Environment and Make Healthcare Better</b></div><div></div><ul><li><i><br>
Thrive: </i>We empower our team with career growth opportunities, tuition assistance, and resources that support your wellness, education, and financial well-being.</li><li><i>
People-First: </i>We prioritize your well-being with paid time off, comprehensive health benefits, and a supportive, inclusive culture where you are valued and cared for.</li><li><i>
Make Healthcare Better: </i>We use advanced technology to support our team and enhance patient care.</li></ul><p></p><p><b><br>
Get to Know Your Team:</b></p><ul><li>
Hillcrest Medical Center is a 656-bed hospital that includes The Alexander Burn Center, The Peggy V. Helmerich Women&rsquo;s Health Center, Kaiser Rehabilitation Center, the latest technology for the treatment of cancer, and the Oklahoma Heart Institute.</li></ul><div><b>
Explore Career Pathways for Laboratory Professionals:</b></div><div></div>
Responsibilities:
<ul><li>The Medical Lab Scientist functions as a professional who assumes responsibility and accountability for the performance of clinical laboratory testing that pertains to patient care and diagnosis.
</li><li>This position performs routine and special laboratory procedures, quality control, preventative maintenance, minor equipment repairs, inventory control, and statistical compilation.
</li><li>Will additionally participates in quality assurance, performance improvement, laboratory education, new employee training, and proficiency testing when assigned.</li></ul>
Qualifications:
<div>
Job Requirements:</div><ul><li>
Baccalaureate or Associate Degree in Medical Technology, Clinical Laboratory Science, or a chemical, physical or biological science.</li><li>
ASCP or equivalent.<ul><li>
Certification within a specific area, i.e. M(ASCP), H(ASCP), C(ASCP) qualifies.</li><li>
Certification must be maintained without lapse during employment.<ul><li>
If certification does lapse, job will be downgraded to Medical Laboratory Scientist (non-certified) until certification is reinstated.</li></ul></li></ul></li><li>
Previous clinical laboratory experience as a Medical Laboratory Technician, Medical Technology, Clinical Laboratory Scientist or Medical Laboratory Scientist within a clinical laboratory.</li><li>
Current knowledge of clinical laboratory techniques and principles.</li></ul></div>

Medical Lab Scientist or Technician / MLS or MLT

Brown and Caldwell

<div><p>The Associate Data Analyst position performs data analytics for informed decision making, dashboards, report generation and overall project support. This role supports and contributes to organizational success by supporting the delivery of high-quality data solutions. Work is performed under general supervision with guidance provided for complex issues.</p>
<p><b>
Responsibilities</b></p>
<ul>
<li>Proactively gather data from diverse internal systems (e.g., CRM platforms, ERP systems, operational databases) and external sources (e.g., public datasets, APIs, third-party vendors, customer surveys).</li>
</ul><ul><li>Apply robust data cleaning techniques such as handling missing values, correcting data types, removing duplicates, and standardizing formats to ensure high data quality.</li>
</ul><ul><li>Validate data accuracy by cross-referencing with source systems, applying logic checks, and collaborating with domain experts to confirm assumptions.</li>
</ul><ul><li>Organize raw data into structured formats&mdash;such as data tables, CSV files, or relational databases&mdash;making it accessible and ready for analysis by analysts, data scientists, and business stakeholders.</li>
</ul><ul><li>Conduct exploratory data analysis using statistical techniques (e.g., regression, clustering, hypothesis testing) to uncover hidden patterns, anomalies, and relationships within datasets.</li>
</ul><ul><li>Visualize trends over time, segment customer behavior, and identify key performance drivers using tools like matplotlib, seaborn, or built-in Excel charts.</li>
</ul><ul><li>Translate analytical findings into actionable insights that support strategic initiatives such as market expansion, product optimization, or customer retention.</li>
</ul><ul><li>Respond to data-related inquiries from business units by investigating root causes, validating assumptions, and delivering clear, data-backed answers.</li>
</ul><ul><li>Design and build dynamic dashboards that track KPIs, operational metrics, and business performance using visualization tools like Tableau, Power BI, or Excel.</li>
</ul><ul><li>Write efficient SQL queries to extract, join, filter, and aggregate data from relational databases such as MySQL, PostgreSQL, or Microsoft SQL Server.</li>
</ul><ul><li>Leverage programming languages like Python or R to automate data workflows, perform advanced statistical analysis, and build custom data pipelines.</li>
</ul><ul><li>Collaborate with cross-functional teams&mdash;including marketing, product, finance, and operations&mdash;to understand their goals and translate them into data requirements.</li>
</ul><ul><li>Maintain detailed documentation of data sources, definitions, transformation logic, and business rules to ensure transparency and consistency across reports.</li>
</ul><ul><li>Monitor data integrity by setting up validation checks, reconciling discrepancies, and working with IT or engineering teams to resolve issues.</li>
</ul><ul><li>Help standardize procedures for data handling, reporting, and analysis by creating templates, SOPs, and training materials for team members.</li>
</ul><ul><li>Flexibility to adapt and execute various additional assignments based on evolving needs.</li>
</ul>
<p><b>Mentorship</b></p>
<ul>
<li>May provide mentorship, guidance, support, and knowledge-sharing to help less experienced team members develop their skills and grow within their roles.</li>
</ul>
<p><b>Skills and Competencies</b></p>
<ul>
<li>Proficiency in SQL for data extraction, transformation, and analysis</li>
</ul><ul><li>Advanced Excel and Google Sheets skills, including pivot tables and complex formulas</li>
</ul><ul><li>Experience with data visualization tools such as Tableau, Power BI, or Excel dashboards</li>
</ul><ul><li>Strong analytical skills with knowledge of statistical methods (e.g., regression, clustering)</li>
</ul><ul><li>Ability to perform exploratory data analysis and identify actionable insights</li>
</ul><ul><li>Familiarity with Python or R for data manipulation and visualization (preferred)</li>
</ul><ul><li>Skilled in cleaning, validating, and transforming large datasets</li>
</ul><ul><li>Excellent communication skills for presenting data to non-technical stakeholders</li>
</ul><ul><li>Collaborative mindset with experience working across departments</li>
</ul><ul><li>Detail-oriented with a focus on data accuracy and consistency</li>
</ul><ul><li>Knowledge of data governance, metadata management, and quality assurance practices</li>
</ul><ul><li>Understanding of data privacy and compliance standards (e.g., GDPR, CCPA)</li>
</ul><ul><li>Ability to identify process inefficiencies and recommend improvements</li>
</ul><ul><li>Experience supporting senior analysts with modeling, forecasting, and reporting</li>
</ul>
<p><b>Experience</b></p>
<ul>
<li>Typically, a minimum of 2 years&rsquo; related work experience in Data Analytics or a related field is required.</li>
</ul>
<p><b>Education</b></p>
<ul>
<li>A bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Computer Science, or related discipline) is required.</li></ul><br>
<p></p>
<p><b>
Salary Range: </b>The anticipated starting pay range for this position is based on the employee&rsquo;s primary work location and may be more or less depending upon skills, experience, and education. These ranges may be modified in the future.</p>
<div>
<div><div><div><div>Location A:</div> <div>$71,000 - $96,000</div>
</div><br>
<div><div>Location B:</div> <div>$78,000 - $106,000</div>
</div><br>
<div><div>Location C:</div> <div>$85,000 - $115,000</div></div><br>
</div>
</div></div><p>You can view which BC location applies to you here. (http://bit.ly/3uQe7gi) If you have any questions, please speak with your Recruiter.</p>
<p>
Benefits and Other Compensation: We provide a comprehensive benefits package that promotes employee health, performance, and success which includes medical, dental, vision, short and long-term disability, life insurance, an employee assistance program, paid time off and parental leave, paid holidays, 401(k) retirement savings plan with employer match, performance-based bonus eligibility, employee referral bonuses, tuition reimbursement, pet insurance and long-term care insurance. Click here (https://brownandcaldwell.com/careers/benefits/) to see our full list of benefits.</p>
<p><b>
About Brown and Caldwell</b></p>
<p>
Headquartered in Walnut Creek, California, Brown and Caldwell is a full-service environmental engineering and construction services firm with 50 offices and over 2,100 professionals across North America and the Pacific. For more than 75 years, we have created leading-edge environmental solutions for municipalities, private industry, and government agencies. We strive to be the company of choice&mdash;to our clients, who benefit from our passion for delivering exceptional quality, and to our employees, present and future, who share our commitment to client service, collaboration, and innovation. Join us, and you will find a home where you can do your best work, reach new levels of expertise, and enjoy exceptional development opportunities. For more information, visit www.brownandcaldwell.com (http://www.brownandcaldwell.com)</p>
<p>
This position is subject to a pre-employment background check and a pre-employment drug test.</p>
<p>
Notice to Third Party Agencies: Brown and Caldwell does not accept unsolicited resumes from recruiters or employment agencies. In the event a recruiter or agency submits a resume or candidate without a previously signed agreement and approved engagement request with Brown and Caldwell, Brown and Caldwell reserves the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency.</p>
<p>
Brown and Caldwell is proud to be an EEO/AAP Employer. Brown and Caldwell encourages protected veterans, individuals with disabilities, and applicants from all backgrounds to apply. Brown and Caldwell ensures nondiscrimination in all programs and activities in accordance with Title VI of the Civil Rights Act.</p><p><br>
#LI-Remote</p><p></p><p><br>
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities<br>
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (https://www.eeoc.gov/poster) notice from the Department of Labor.</p></div>

Associate Data Analyst

International Center for Biosaline Agriculture (ICBA)

<div>
 <p>
  <strong>
   Job Summary
  </strong>
 </p>
 <p>
  ICBA is looking for a dynamic and results oriented Scientist &ndash; Integrated crop livestock systems , who will be a member of the Crop Diversification and Genetics (CDG) section and a team member of the Directorate of Program, leading integrated crop, forage, livestock and farming systems related research and development activities and projects across the directorate's two sections, CDG and Sustainable Natural Resources Management (SNRM).
 </p>
 <p>
  His/her major role will be to attract research support through external funding by developing attractive project proposals and liaising with donors to secure potential financial support. The farming systems scientist will conduct applied research to select conventional and alternative food and feed crops adapted to environments with excessive salt, heat, and drought stress to support integrated crop -livestock production systems, feed systems and range land management, and will help external projects as required. The systems scientist will participate in developing technology packages, including the best crop &ndash; forage management systems and operations that optimize nutrient use in arid and arid-saline soils and saline water resources. The incumbent will lead ICBA at various forums as needed to represent the center at national and international levels.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Strategic planning, designing and implementing advanced integrated crop -livestock, forage and range land farming systems strategies focused on optimizing crop, forage and livestock productivity in arid, saline, and stress-prone areas within the mandate of ICBA.
  </li>
  <li>
   Identify funding opportunities and lead the preparation of projects and proposals for submission including preparing the technical and financial components as well as identifying and liaising with potential national, regional and international partners.
  </li>
  <li>
   Leading systems research initiatives, conducting field and feed trials, and analyzing data to evaluate new food and fodder crop varieties and optimize crop- livestock interactions, and agronomic practices.
  </li>
  <li>
   Lead research on fodder and rangeland crops in arid and saline environments to support the livestock feed systems, climate resilient livestock production.
  </li>
  <li>
   Develop strategic partnerships with national, regional, and international organizations working on food, fodder and livestock systems
  </li>
  <li>
   Utilizing precision agriculture technologies and statistical methods to analyze field data, interpret results, and provide actionable insights and reports to program leaders, the Chief Scientist, and the management.
  </li>
  <li>
   Training, mentoring, and supporting junior field staff, students, and interns, fostering a culture of continuous improvement and knowledge sharing.
  </li>
  <li>
   Collaborating with cross-functional teams, farmers, and industry partners to translate research findings into practical applications and ensure compliance with environmental and safety standards.
  </li>
  <li>
   Interact and associate with other research programs for multidisciplinary research activities and participate as a team player in developing technical reports, extension materials, and publications in refereed journals.
  </li>
  <li>
   Assess the productivity, profitability, sustainability and environmental impacts of integrated crop-livestock systems using appropriate biophysical and socioeconomic indicators.
  </li>
  <li>
   Participate as needed and contribute to training programs, conferences, forums, media, ICBA publications and other appropriate fora as and when required to present ICBA innovations and increase its visibility.
  </li>
  <li>
   Perform other tasks assigned by the supervisor and management as per the requirements.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications and Experience
  </strong>
 </p>
 <p>
  <em>
   Essential:
  </em>
 </p>
 <ul>
  <li>
   PhD in Agronomy, Agricultural Systems, Forage agronomy subject from a recognized University
  </li>
  <li>
   At least 5 years of post-PhD international work experience in integrated crop-livestock systems, cropping and farming systems, or related research Proven publication record in refereed journals
  </li>
  <li>
   Proven ability to initiate, conduct, and publish research and to obtain external grant funding
  </li>
  <li>
   Team player to work in a multi-cultural environment
  </li>
  <li>
   Fluency in written and spoken English, and well-developed presentation, negotiation and public speaking skills.
  </li>
  <li>
   Experience in statistics and database management
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Desirable:
  </em>
 </p>
 <ul>
  <li>
   Experience in crop, forage and farming systems modeling
  </li>
  <li>
   Experience on fodder, rangeland cropping and livestock feed system in water scarce environments
  </li>
  <li>
   Additional language skills like Arabic are highly desirable
  </li>
  <li>
   Experience in resource mobilization, project management or development projects.
  </li>
  <li>
   Experience working with national agricultural research systems or development agencies.
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Scientist – Integrated Crop and Livestock Systems

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