data science specialist

Superior Plus Propane

We are looking for a Customer Marketing Data Scientist who combines strong technical expertise with the ability to own business problems end-to-end, partner with stakeholders, and drive decisions through data. In this role, you’ll work hands-on with data while also acting as a key thought partner to Marketing and cross-functional teams. Your success will be defined not just by the models you build, but by your ability to translate insights into action and influence strategy.
 
If you thrive in ambiguity, enjoy solving real business problems, and can clearly communicate data-driven recommendations to non-technical audiences, this could be your ideal fit.
 
Why join us: 
Culture: Join a supportive and inclusive work environment where collaboration, respect, and open communication are at the core of everything we do.
 Competitive Compensation: We offer highly competitive compensation and a total rewards package, ensuring that your hard work and dedication are recognized and rewarded accordingly.
 Flexibility: We understand the importance of work-life balance and offer various flexible schedules to help you manage your personal and professional commitments effectively.
 Technology: Work with state-of-the-art tools and technologies that empower you to excel in your role and stay at the forefront of industry trends.
 Employee Assistance Programs: We care about you! You and your family will have access to LYRA, an industry leading platform that provides comprehensive support and a myriad of resources to help support your physical, mental, financial and social well-being.
 Opportunity: A continuous focus on professional development with many opportunities for training & career growth.
 Safety Focused: We care about you and have developed a 24/7 safety mindset that is showcased throughout every facet of the organization.
 
What you’ll do: 
<ul>
<li>End-to-End Analytics Ownership: Lead analytics initiatives from problem definition through to insight delivery and business adoption, ensuring outcomes; not just outputs.</li>
<li>Business Collaboration & Influence: Partner with Marketing, BI, IS, and other teams to understand challenges, proactively identify opportunities, and shape decisions through data.</li>
<li>Data Storytelling & Communication: Translate complex analysis into clear, actionable insights; present findings in a way that drives understanding and decision-making across all levels.</li>
<li>Customer & Marketing Insights: Deliver analysis that informs segmentation, retention, campaign performance, and customer strategy.</li>
<li>Test-and-Learn Approach: Design experiments, iterate quickly, and continuously improve impact through data-driven learning.</li>
<li>Technical Execution: Work hands-on across the data lifecycle (data prep, modeling, analysis), applying advanced analytics and ML techniques to real business problems.</li>
<li>Cross-Functional Delivery: Collaborate effectively across a geographically dispersed team, ensuring alignment, transparency, and progress.</li>
</ul>
What you bring: 
<ul>
<li>Bachelor’s degree (or equivalent hands-on experience) in Data Science, Statistics, Computer Science, Marketing, Social Sciences, or a related field; certifications in analytics or AI/ML are an asset</li>
<li>5 years of experience in marketing, customer analytics, or data science in a business-facing role</li>
<li>Proven ability to own analytics projects end-to-end; from problem definition through to insight adoption and measurable business impact</li>
<li>Strong problem-solving skills with the ability to translate ambiguous business questions into structured analytical approaches</li>
<li>Proficiency in SAS, Python, R, and/or SQL, with experience working with large, complex datasets</li>
<li>Experience working with cloud and data platforms such as Azure and Databricks</li>
<li>Experience with data visualization and BI tools such as Power BI, Tableau, or Looker to communicate insights effectively</li>
<li>Experience applying predictive modeling, segmentation, experimentation, and/or marketing analytics techniques</li>
<li>Ability to connect technical outputs to clear business insights and strategic recommendations</li>
<li>Strong communication and storytelling skills; able to present complex ideas in a clear, concise, and actionable way for non-technical audiences</li>
<li>Comfortable partnering with and influencing stakeholders, with a proactive, curious, and outcome-driven mindset that balances hands-on execution with big-picture thinking</li>
<li>English proficiency is required to support the full North American business.</li>
<li>Legal Authorization to work in the US is required. We will not sponsor individuals for employment visas now or in the future for this job opening.</li>
</ul>
Why join us: 
<ul>
<li>Ability to connect technical work to business impact and strategy</li>
<li>Strong communication skills—able to make complex insights accessible and actionable</li>
<li>Comfortable engaging stakeholders, challenging assumptions, and guiding direction</li>
<li>Curious, proactive, and focused on delivering measurable outcomes</li>
</ul>
The expected annual salary range for this role is $85,000 - $105,000 a year.
 Please note the compensation information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, candidate’s geographical location, as well as market and business considerations.
 
Here at Superior Plus Propane, we are an equal opportunity employer committed to the inclusion and accommodation of all individuals, we welcome all qualified candidates to apply. If you have an accommodation need during the recruitment & selection process, we encourage you to connect with us at sppcareers@superiorpluspropane.com to let us know how we can enhance your experience.

Customer Marketing Data Science Specialist

Radiance Technologies Inc.

<div>Radiance Technologies, a rapidly growing employee-owned company, is seeking an experienced Data Scientist to support the U.S. Army Space and Missile Defense Command (USASMDC) at Peterson Space Force Base, Colorado. This position supports a customer-funded, one-year effort with an anticipated period of performance from August 1, 2026, through July 31, 2027. The selected candidate will apply advanced data analytics techniques to support national security missions by researching and analyzing structured and unstructured data, developing complex database queries, and transforming data into actionable insights. Working as part of a multidisciplinary team, the Data Scientist will collaborate with Government and contractor personnel to integrate diverse data sources, solve complex mission challenges, and communicate analytical findings and recommendations to stakeholders.
Duties and Responsibilities<ul><li>
Perform research on structured and unstructured data sources using quantitative and qualitative metadata and content analytics.</li><li>
Construct and execute complex database queries to support mission requirements.</li><li>
Collaborate across multidisciplinary teams to integrate data sources and solve mission challenges.</li><li>
Identify meaningful insights from large datasets and communicate findings and recommendations to Government stakeholders.</li><li>
Support data management activities within large-scale, enterprise data environments.</li></ul>
Required Qualifications<ul><li>
Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or another relevant STEM discipline (or equivalent experience).</li><li>
Five (5) or more years of experience as a Data Scientist or in a closely related analytical role.</li><li>
Demonstrated knowledge of computer science concepts, data architecture, intelligence practices, and managing data within big-data environments.</li><li>
Experience performing complex data analysis and database queries.</li><li>
Active Top Secret/SCI security clearance.</li></ul>
Position Duration
This position supports a customer-funded effort with an anticipated period of performance from August 1, 2026 through July 31, 2027. Employment is expected to conclude upon completion of the customer requirement. While Radiance cannot guarantee follow-on work after the period of performance, employees are welcome to apply for other open positions within the company for which they are qualified.
Salary Range
$150,000 - $175,000
Radiance Technologies 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 protected veteran status.</div>

Data Scientist

Weatherford

<div><div><div><div>Job Purpose
We are seeking a highly motivated Data Scientist to join our Sciences team. In this role, you will apply advanced data analytics, machine learning, and scientific modeling to solve complex problems related to downhole tools, signal processing, and formation evaluation.
The ideal candidate combines strong fundamentals in applied mathematics and data science with the ability to work in a cross-functional engineering environment. 
Roles &amp; Responsibilities
<ul><li>Design and develop data pipelines for cleaning, validation, and analysis of large datasets
</li><li>Analyze structured and unstructured data to identify trends, patterns, and anomalies
</li><li>Develop and deploy machine learning models and statistical algorithms
</li><li>Automate data workflows and analysis using modern programming tools
</li><li>Modeling &amp; Technical Contributions
</li><li>Build predictive and physics-informed models to support tool development and characterization
</li><li>Work with simulation outputs and experimental data to improve system understanding
</li><li>Develop custom tools and frameworks for advanced analytics
</li><li>Collaboration &amp; Delivery
</li><li>Partner with engineers, physicists, and product teams to translate business needs into analytical solutions
</li><li>Communicate insights and results effectively to technical and non-technical stakeholders
</li>Support project planning, technical documentation, and knowledge sharing 
<li>
</li></ul>Experience &amp; Education
REQUIRED
<ul><li>Master's degree in applied mathematics, Data Science or Physics
</li><li>5+ years&rsquo; experience in the Oil and Gas industry
</li><li>Strong analytical and problem-solving skills
</li><li>Excellent communication and presentation abilities
</li><li>Proficiency in managing and interpreting large datasets
</li><li>Knowledge of tool physics and tool characterization
</li><li>Experience with machine learning techniques
</li>Experience with statistical and data mining techniques 
<li>
</li></ul>PREFERRED
<ul><li>Experience using C, C++, Java, JavaScript, Python, R, SQL
</li>Expertise in areas such as formation evaluation, production logging and well integrity. 
<li>
</li></ul>Knowledge, Skills &amp; Abilities
REQUIRED
<ul><li>Excellent problem-solving, analytical, and decision-making skills, with the ability to think critically and develop innovative solutions.
</li><li>Strong communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders
</li><li>Knowledge of industry standards, regulations, and best practices related to health, safety, and environmental compliance.
</li>Self-starter, Curious, ability to research independently and integrate knowledge from various sources into working solutions. 
<li>
</li></ul>PREFERRED
<ul><li>Active participation in technical societies, forums and open-source communities is a plus.
</li>Published technical papers, presented in industry conferences. 
<li>
</li></ul> 
Travel Requirement:
This role may require domestic and potentially international travel of up to: 10-25% 
<ul><li>
</li></ul></div></div><div></div>#LI-KP1</div></div>

Data Scientist - Wireline

MOZN

<div>
 
 
 About Mozn
 
 
 
 
 
 MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in two critical domains: Financial Crime Prevention and Enterprise Knowledge Intelligence.
 
 
 We're a diverse, collaborative team of innovators united by a shared purpose: to build AI that delivers tangible business value, builds trust, and empowers people and organizations with augmented intelligence. Our culture is built on the relentless pursuit of excellence and meaningful impact.
 
 
 If you're passionate about working alongside exceptional talent on world-class AI, and you want the autonomy and runway to do the best work of your career, join us in shaping the future of intelligent enterprises.
 
 
 
 About the role
 
 
 
 
 
 We are searching for a strategic and inquisitive Data Scientist. As a member of Mozn's Data Science team, you will work with cross-disciplinary teams to identify the problems to be solved, specify the problems in mathematical and statistical terms, scope out the project in collaboration with your team and external stakeholders, and then go about answering the identified questions. You find insights that spur teams and stakeholders to improve their business/product and drive value for internal and external stakeholders.
 
 
 
 
 What you'll do
 
 
 
 
 
 <ul>
 <li>
 Communicate highly technical results and methods clearly to a wide variety of external clients
 </li>
 <li>
 Analyze and extract insights from multiple and complex datasets through regression analysis, hypothesis testing, and other machine learning techniques
 </li>
 <li>
 Develop and apply new machine learning techniques to ensure modern yet optimal approaches are applied to Mozn's solutions
 </li>
 <li>
 Plan and execute end-to-end data science projects, from data collection and exploration through model development, deployment, and intelligent decision-making
 </li>
 <li>
 Engage with stakeholders to identify and define the scope of challenges and propose data-powered solutions
 </li>
 <li>
 Staying informed with new frameworks and technological advances to increase Mozn's efficiency and productivity
 </li>
 <li>
 Deploy and maintain AI and machine learning models across on-prem, cloud, and hybrid environments
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 <ul>
 <li>
 B.S. or M.S. in Computer Science, Statistics, Mathematics or similar quantitative fields
 </li>
 <li>
 3-5 years of relevant experience as a data scientist, or similar fields that require developing ML/AI models
 </li>
 <li>
 Programming experience over three years, including data manipulation using Python or other languages
 </li>
 <li>
 Good understanding of statistics and probability, such as Bayesian methods and conditional probability
 </li>
 <li>
 Applied experience in machine learning, such as conducting model experiments
 </li>
 <li>
 Experience in version control systems, such as Git, GitHub
 </li>
 <li>
 Experience in SQL or NoSQL is preferred
 </li>
 <li>
 Familiarity with big data technologies, such as Spark
 </li>
 <li>
 Experience in deep learning frameworks, such as PyTorch
 </li>
 <li>
 Familiarity with containerization frameworks, such as Docker
 </li>
 <li>
 Experience deploying, operating, and managing applications or services in cloud environments, whether related to AI/ML or broader software workloads
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 <ul>
 <li>
 You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space
 </li>
 </ul>
 <ul>
 <li>
 You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best
 </li>
 </ul>
 <ul>
 <li>
 The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
 </li>
 </ul>
 <ul>
 <li>
 You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI
 </li>
 </ul>
 <ul>
 <li>
 We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves
 </li>
 </ul>
 
 &nbsp;
 
</div>

Data Scientist III

Capgemini

<div><div><div><div>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
<div><div><div><h2 class="jobSectionHeader">Job Location : Cary, NC (Onsite/Hybrid from Day 1)</h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader">Job Description</h2>
</div><div>We are seeking an experienced Data Scientist to join our growing Analytics and AI team. This role is responsible for developing and deploying advanced Machine Learning, Artificial Intelligence, and Generative AI solutions that drive customer engagement, marketing effectiveness, revenue growth, and business outcomes. The ideal candidate will have a strong blend of technical expertise, business acumen, and stakeholder management experience, particularly within the insurance and/or financial services industry.
</div></div><div><div><h2 class="jobSectionHeader">Key Responsibilities</h2>
</div><div><ul><li>Own technical decisions, project outcomes, timelines, and production stability within assigned business domains.</li>
<li>Design, develop, train, and optimize machine learning and deep learning models for marketing, customer engagement, sales, and business analytics use cases.</li>
<li>Analyze complex datasets to identify trends, patterns, anomalies, and actionable insights that support business strategy and decision-making.</li>
<li>Develop statistical models, predictive analytics, and machine learning algorithms using Python and Azure cloud technologies.</li>
<li>Build, deploy, and support production-ready ML and GenAI solutions, including API-based, batch, and real-time inference applications.</li>
<li>Collaborate with business stakeholders, product teams, and cross-functional partners to identify opportunities and implement data-driven solutions.</li>
<li>Integrate AI and ML capabilities into business applications and workflows through APIs, SDKs, and microservices.</li>
<li>Create compelling visualizations, dashboards, reports, and presentations to communicate analytical findings and recommendations to senior leadership and business partners.</li>
<li>Apply MLOps best practices to ensure scalability, reliability, performance monitoring, and operational excellence of AI/ML solutions.</li>
<li>Optimize platform components leveraging cloud-native architectures, distributed computing, and efficient resource management practices.</li>
<li>Stay current with emerging trends, technologies, and best practices in Artificial Intelligence, Data Science, Machine Learning, and Generative AI.</li>
<li>Promote responsible AI practices, including data privacy, model governance, bias mitigation, and model monitoring.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Required Qualifications</h2>
</div><div><ul><li>Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.</li>
<li>8+ years of experience in Data Science, Machine Learning, Artificial Intelligence, and/or AI/ML Engineering.</li>
<li>5+ years of experience in the Insurance and/or Financial Services industry with exposure to sales, marketing, customer engagement, or customer analytics.</li>
<li>Proven experience designing, deploying, and operating production Machine Learning and/or Generative AI solutions, including APIs, batch processing, and real-time inference.</li>
<li>Strong experience developing Machine Learning models using Python, preferably in cloud environments.</li>
<li>Experience with Azure Machine Learning, Domino Data Lab, Power BI, or similar analytics and ML platforms.</li>
<li>Strong SQL skills and hands-on experience with data analysis, anomaly detection, data validation, and Exploratory Data Analysis (EDA).</li>
<li>Solid understanding of statistics, mathematics, predictive modeling, machine learning algorithms, and data science methodologies.</li>
<li>Experience leveraging AI and predictive analytics to improve customer experience, communication strategies, revenue generation, marketing effectiveness, and other business outcomes.</li>
<li>Familiarity with responsible AI principles, including data privacy, bias mitigation, model explainability, governance, and monitoring.</li>
<li>Excellent written and verbal communication skills, including the ability to present insights effectively through storytelling, visualizations, and executive-level presentations.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Preferred Qualifications</h2>
</div><div><ul><li>Experience with Generative AI, Large Language Models (LLMs), and modern AI frameworks.</li>
<li>Experience implementing MLOps and model lifecycle management practices in cloud environments.</li>
<li>Knowledge of cloud-native architectures and scalable AI/ML deployment patterns.</li>
<li>Experience working within highly regulated environments such as Insurance or Financial Services.</li>
</ul></div></div></div>The base compensation range for this role in the posted location is: 85786- 97273
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul>Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</div></div></div></div>

TANGENTTECH

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

Senior Data Scientist

JANUS Research Group

<div>
 
 Job Title
 
 
 
 Data Analyst &ndash; Curriculum
 
 
 
 Location
 
 
 
 This position is at Naval Education and Training Command (NETC) on-board Naval Air Station (NAS) Pensacola, FL.
 
 
 Target salary range:
 
 $68,000 - $72,000
 
 . The estimate displayed represents the typical salary range for this position based on experience and other factors.
 
 
 
 Objective
 
 
 
 The Data Science Specialistadvises on the potential benefits/uses of automation to improve the efficiency of program operations; Analyzes a variety of data sources to provide data-driven insights to the organization to streamline processes; Analyzes and evaluates (on a quantitative and/or qualitative basis) the effectiveness of line program operations in meeting established goals and objectives; Analyzes and evaluates the effectiveness of organization based on data findings to improve operations; Analyzes management information requirements to develop program or administrative reporting systems including the systems specifications, data gathering and analytical techniques, and systems evaluation methodology.
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Perform work requirements to meet standard formatting, high-quality products, and submission timelines.
 </li>
 <li>
 Perform comparative analysis of multiple data sheets/data sources concurrently daily and provide reports on data discrepancies, abnormalities, deltas, and overall data integrity.
 </li>
 <li>
 Perform impact analysis on business requirements/processes to ensure alignment with the mission and training systems.
 </li>
 <li>
 Working within NETC N73 branch, provide guidance to NETC learning centers with Interactive Multimedia Instruction (IMI) content in troubleshooting, creating, and assisting with their eLearning content development.
 </li>
 <li>
 Validate curriculum data across Navy systems to ensure completeness, accuracy, consistency, and reliability.
 </li>
 <li>
 Create and deliver written reports, visualizations, dashboards, or data models based on data collected and analyzed using various tools such as MS Excel, Access, PowerPoint, Power Apps, Power BI, and SharePoint Online (SPO).
 </li>
 <li>
 Provide periodic user training for NETC training systems.
 </li>
 <li>
 Collect, categorize, and analyze data.
 </li>
 <li>
 Use data visualization software and other data tools to present findings.
 </li>
 <li>
 Provide business recommendations to stakeholders based on data analysis.
 </li>
 <li>
 Additional duties as assigned.
 
 
 </li>
 </ul>
 
 Employment Status
 
 
 
 Full-time (40 hours per week). Salaried. Exempt.
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 2 years&rsquo; experience in database maintenance and development in education or training environments.
 </li>
 <li>
 Knowledge in developing and utilizing the Power Apps suite to design and implement custom workflows and dashboards to include task automation, multi-step approvals, data validation, and real-time reporting, with integration capabilities across tools such as SPO, Power BI, and Power Automate to drive efficiency, enhance collaboration, and support scalable solutions.
 </li>
 <li>
 Knowledge of and work with, on a daily/regular basis, NETC training systems and curriculum data development systems.
 </li>
 <li>
 Proficient in Microsoft Office software.
 </li>
 <li>
 Written and oral communication skills.
 </li>
 <li>
 Ability to read, interpret, organize, and synthesize source material into well-written, concise learning products.
 </li>
 <li>
 Ability to evaluate complex and disparate data sources, documents, and operational artifacts to derive actionable insights. Analyzes, synthesizes, and extrapolates knowledge to inform decision-making, identify trends, and propose innovative solutions aligned with organizational objectives.
 
 
 </li>
 </ul>
 
 Work Environment and Travel
 
 
 
 <ul>
 <li>
 This position is at Naval Education and Training Command (NETC) on Naval Air Station (NAS) Pensacola, FL. Qualified candidates should be local to Pensacola, FL, or surrounding areas to be considered for this position.
 </li>
 <li>
 Ability to lift items and/or equipment up to 50 lbs. on limited occasions.
 </li>
 <li>
 Travel up to 10% anticipated.
 
 
 </li>
 </ul>
 JANUS strives to provide opportunities for career growth through training and development. We also offer an attractive comprehensive benefit package to include health and welfare plans and financial products. As part of a total rewards program, employees can benefit from our referral bonus program, and other various employee awards. JANUS Research Group takes pride in our benefit package and rewards program which has earned us the certification of a
 
 Great Place to Work
 
 &trade;
 
 
 JANUS Research Group provides reasonable accommodation so that qualified applicants with a disability may participate in the selection process. Please advise us of any accommodations you request to express interest in a position by e-mailing: Judy Pagac, Chief Human Resources Officer at judy.pagac@janusresearch.us or calling (706) 364-9100. Please state your request for assistance in your message. Only reasonable accommodation requests related to applying for a specific position within JANUS Research Group will be reviewed at the e-mail address and phone number supplied. Thank you for considering a career with JANUS Research Group.
 
 
 JANUS Research Group participates in the Electronic Employment Verification Program. Please click the E-Verify link below for more information.
 
 
 
 E-Verify
 
 
 
 JANUS Research Group is an equal opportunity/ affirmative action employer. It is company policy to provide equal opportunity in all areas of employment practice without regard to race, color, religion, sex, sexual orientation, national origin, age, marital status, veteran status, citizenship, or disability.
 
 
 
 This contractor and subcontractor shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment qualified individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.
 
</div>

Data Analyst - Curriculum

Search 9037+ Data science specialist jobs near you this August. New roles added regularly across leading industries. Apply today.

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