data science specialist

Superior Plus Propane

Superior Propane is looking for an experienced Marketing Data Science Specialist with a strong career focus on data-driven problem-solving and collaboration. In this role (with room to grow), you’ll spend about 80% of your time working hands-on with data—designing and applying advanced analytics, AI, and predictive modeling to unearth insights for our marketing and customer-centric strategies. The remaining 20% will focus on stakeholder engagement: presenting clear, direct findings to various departments, directors, and occasionally senior leadership. If you thrive on detailed execution, can pivot quickly to solve real business problems, and enjoy guiding decision-makers with strategic storytelling, this could be your ideal fit.
<br><br>
<b>Why join us:</b><br>
<b>Culture:</b> Join a supportive and inclusive work environment where collaboration, respect, and open communication are at the core of everything we do.
<br><b>Competitive Compensation:</b> We offer highly competitive compensation and a total rewards package, ensuring that your hard work and dedication are recognized and rewarded accordingly.
<br><b>Flexibility:</b> We understand the importance of work-life balance and offer various flexible schedules to help you manage your personal and professional commitments effectively.
<br><b>Technology:</b> 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.
<br><b>Employee Assistance Programs:</b> 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.
<br><b>Opportunity:</b> A continuous focus on professional development with many opportunities for training & career growth.
<br><b>Safety Focused:</b> We care about you and have developed a 24/7 safety mindset that is showcased throughout every facet of the organization.
<br><br>
<b>What you’ll do:</b><br>
<ul>
<li>Advanced Analytics Projects: Lead at least one advanced analytics initiative in your first 6–12 months, applying predictive models or AI techniques to drive immediate, actionable insights.</li>
<li>Business Collaboration & Awareness: Partner closely with various stakeholders (Marketing, BI, IS), and other cross-functional groups to understand business challenges and uncover data-driven solutions.</li>
<li>Data Storytelling & Presentation: Transform complex analyses into compelling, concise narratives for both technical and non-technical audiences. Communicate results directly focusing on outcomes over process.</li>
<li>Customer Sentiment & Retention Insights: Own or influence metrics around customer sentiment, retention, and marketing strategy (e.g., segmentation, sentiment analysis, profile building).</li>
<li>Test-and-Learn Environment: Embrace a “problem solver” mindset: run experiments, refine approaches, and continually enhance business impact through iterative learning.</li>
<li>Process Expertise & Execution: Employ established analytics processes (data ingestion, cleaning, modeling) to efficiently deliver results while maintaining high data quality.</li>
<li>NA Collaboration: Operate effectively with a geographically dispersed team; coordinating project timelines, sharing updates, and ensuring all stakeholders remain engaged and informed.</li>
</ul>
<b>What you bring:</b><br>
<ul>
<li>A bachelor’s degree (or demonstrated hands on experience) in Data Science, Statistics, Social Sciences, Computer Science, Marketing, or a related field is preferred.</li>
<li>Professional courses or certification in advanced analytics, marketing analytics, or AI/ML tools would be an asset</li>
<li>Solid experience (minimum 3 years) working with analytics or big data, particularly around customer behavior, segmentation, or strategic marketing.</li>
<li>Proficiency in programming languages including SAS, Python, R, and/or SQL and data visualization tools such as Power BI, Tableau or Looker.</li>
<li>Familiarity with AI tools and the application of machine learning models (without needing to engineer deep ML solutions from scratch).</li>
<li>Ability to roll up your sleeves to handle data end-to-end, with the abilty to see the bigger picture purpose and scope of the project, and craft a strategic approach.</li>
<li>Curious and adept at quickly diagnosing business needs, using data creatively, and delivering immediate results.</li>
<li>Skilled at presenting outcomes in a straightforward, direct manner, making complex analytics understandable to non-technical colleagues.</li>
<li>Enjoy working with various teams (Marketing, BI, IS, Finance, Sales) to refine processes, spark innovation, and achieve mutual shared goals.</li>
<li>Organized, self-driven, and comfortable collaborating with stakeholders virtually</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?
<br><ul>
<li>Immediate Impact: Contribute to high-visibility analytics initiatives that directly influence customer sentiment, retention, and strategic marketing.</li>
<li>Growth Potential: As a mid-level role, this position offers the chance to evolve your career path, refine your skill set, and establish yourself as a leader in analytics-driven marketing.</li>
<li>Collaborative Culture: You’ll work cross-functionally with talented peers, refining ideas in a test-and-learn environment that values experimentation and swift problem-solving.</li>
</ul>
<b>Salary:</b> $85,000 - $105,000 annually (based on skills, experience, qualifications, and geography).
<br><br>
Eligible employees may earn performance-based incentives and have access to comprehensive benefits and retirement plans with matching contributions.
<br><br>
This posting is a replacement for an existing vacancy. We do not use AI tools in the selection process and do not request pay history.
<br><br>
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.
<br>#LPUS2

Marketing Data Science Specialist

Pantex Plant

<div><div><div><b>Location: </b>Amarillo, TX - Pantex Plant<br>
<b>Job Title:</b> Data Scientist<br>
<b>Career Level From: </b>Senior Associate<br>
<b>Career Level To:</b> Senior Specialist<br>
<b>Organization:</b> NSE Integration Services (51130643)<br>
<b>Job Specialty:</b> System Development</div><br>
<div><div><div><h2 class="jobSectionHeader"><b>What You'll Do</b></h2>
</div><div><div>
A career at Pantex can offer you the opportunity to make a personal impact on our nation. We recognize that excellent employees are absolutely critical for mission success. We are seeking an advanced Data Scientist to develop, validate, and deploy statistical models and machine learning algorithms that drive mission-critical insights, operational efficiency, and advanced forecasting capabilities.</div>
<div>
Primary duties include applying statistical methods and machine learning principles to analyze complex datasets, build predictive and prescriptive models for operational improvement, and translate high-value business problems into tangible, data-driven solutions.</div>
<div>
Additional duties may include conducting advanced research into new Artificial Intelligence (AI)/Machine Learning (ML) techniques, collaborating with Data Engineers and Machine Learning Operatons (MLOps) teams to deploy models, and presenting complex analytical findings to technical and non-technical stakeholders.</div>
<div><b>
Core Responsibilities and Duties</b></div>
<ul>
<li>Design, implement, and validate Machine Learning and statistical models for high-impact use cases, including predictive maintenance systems, resource optimization algorithms, and advanced forecasting.</li>
<li>Design and manage the MLOps process for models, including containerization, automated testing, and deployment using MLOps platforms and Continuous Integration (CI)/Continuous Deployment (CD) pipelines to transition models from development to a secure, live environment.</li>
<li>Maintain and monitor deployed models in production, rapidly diagnosing and resolving issues, managing data drift and model drift, and retraining models to ensure sustained performance and reliability.</li>
<li>Utilize advanced statistical and algorithmic techniques to perform comprehensive data analysis, identify trends, anomalies, and critical patterns in large, complex operational, safety, and financial datasets.</li>
<li>Partner with business units to define problem statements, gather data requirements, and ensure the successful integration and adoption of models into existing enterprise processes.</li>
<li>Develop and maintain robust, production-ready code for model training, feature engineering pipelines, and validation routines, ensuring model reproducibility and scalability.</li>
<li>Ensure all models, data usage, and code comply with National Nuclear Security Administration (NNSA) security standards, data governance policies, and ethical AI principles.</li>
</ul>
<div><b>Other Responsibilities and Duties</b></div>
<ul>
<li>Evaluate and recommend the strategic use of emerging AI technologies, such as Large Language Models (LLMs) and Generative AI, for both mission and internal support applications.</li>
<li>Collaborate closely with Data Engineers and Data Architects to prepare data infrastructure and define necessary feature stores for efficient model development and training.</li>
<li>Create comprehensive technical and non-technical documentation detailing model architecture, methodology, performance results, and business impact.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>What You Can Expect</b></h2>
</div><div><ul><li>Meaningful work and unique opportunities to support missions vital to national and global security.</li>
<li>Top-notch, dedicated colleagues.</li>
<li>Generous pay and benefits with a stable organization.</li>
<li>Work-life balance fostered through flexible work options and wellness initiatives.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Minimum Job Requirements</b></h2>
</div><div><ul><li>Bachelor&rsquo;s degree in engineering/science discipline: Minimum 2 years of relevant experience. Typical engineering/science experience ranging from 3 to 7 years.</li>
<li>OR Master's degree.</li>
<li>OR applicants without a bachelor's degree may be considered based on a combination of at least 10 years of completed education and/or relevant experience.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Department of Energy (DOE) Order 426.2A Requirements</b></h2>
</div><div><div>
Not applicable.</div></div></div><div><div><h2 class="jobSectionHeader"><b>
Preferred Job Requirements</b></h2>
</div><div><ul><li>At least 1 year focused on applying data science techniques, machine learning, and managing model deployment in a production setting.</li>
<li>Proficiency in statistical programming languages such as Python or R, and experience in relevant machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow).</li>
<li>Demonstrated experience with MLOps principles, including model versioning, containerization (e.g., Docker), and deployment via cloud platforms.</li>
<li>Demonstrated experience with Structured Query Language (SQL) and querying relational databases, as well as handling large, complex, and unstructured datasets.</li>
<li>The ability to obtain and maintain a Department of Energy Q clearance is required.</li>
<li>Master's degree (MS) or Ph.D. in a quantitative field with minimum 3 years of relevant experience.</li>
<li>Expert proficiency in statistical programming languages such as Python or R, and deep expertise in relevant machine learning libraries (e.g., scikit-learn, PyTorch, TensorFlow).</li>
<li>Experience with cloud-based MLOps platforms (e.g., Datarobot, Azure ML, AWS SageMaker) and CI/CD tools for automated model pipelines.</li>
<li>Prior domain experience in industrial optimization, predictive maintenance, or complex resource forecasting.</li>
<li>Knowledge of big data technologies such as Spark, and familiarity with collaborative coding environments and version control (Git).</li>
</ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>#JointheMission: Your Impact Starts Here</b></h2>
</div><div>At Pantex, you won't just find a job&mdash;you&rsquo;ll discover a career of purpose safeguarding national security through work performed nowhere else on Earth. We empower dedicated, innovative individuals like you to achieve their greatest impact surrounded by exceptional talent and limitless opportunities for professional growth.</div>
<div></div>
<div>When you #JointheMission, you choose a lifetime career where your commitment is genuinely valued and rewarded. At Pantex, we believe that extraordinary talent thrives when supported by a balanced life. Discover the flexibility that empowers you to excel, coupled with a benefits package designed for your total peace of mind from comprehensive health coverage and robust retirement planning, to opportunities for continuous learning through education reimbursement.</div>
</div><div><div><h2 class="jobSectionHeader"><b>Notes</b></h2>
</div><div>The minimum education and experience for the lowest career level in the job posting range are listed under Minimum Job Requirements. Successful candidates hired into a higher career level than the minimum in the range must meet the requirements listed in the job leveling charts for the career level into which they are being hired.</div>
<div></div>
<div>If a range of Career Levels is posted, i.e., Senior Associate to Senior Specialist, internal applicants already in one of the Career Levels would come across at their current Career Level. Internal applicants currently in a lower level Career Level would move to the lowest posted Career Level.</div>
<div></div>
<div>Requires a Q clearance; however all qualified candidates will be considered regardless of their current clearance status. The ability to obtain and maintain a Department of Energy Q clearance is required.</div>
<div></div>
<div>Position may require entry into Materials Access Areas (MAA) and participation in the Human Reliability Program (HRP). If HRP is required, candidate must complete a counterintelligence-scope polygraph, pursuant to 10 Code of Federal Regulations (CFR) 709. Medical requirements may apply.</div>
<div></div>
<div>Pantex is a drug-free workplace. Candidates accepting a job offer will be required to pass a pre-placement physical, drug screening and background investigation. As an employee, you may be required to receive and maintain a security clearance from the United States Department of Energy in order to meet eligibility requirements for access to sensitive information or matter. U.S. citizenship is a requirement for security clearance applicants. All employees are subject to random selection for drug testing without advance notification.</div>
<div></div>
<div>Pantex is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, age, religion, national origin, ancestry, genetic information, disability or veteran status.</div></div></div></div>

Data Scientist

Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU)

<div>
 <p>
  Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU; www.mbru.ac.ae) is part of Dubai Health, the first integrated academic health system in the UAE. Dubai Health seeks to strengthen Dubai as a global leader in health care, medical education, research, and scientific innovation, to enhance the capabilities of Dubai&rsquo;s healthcare sector. Dubai Health is managing and operating 54 sites, including 6 government hospitals, 26 ambulatory health centers, 20 medical fitness centers, Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU), and Al Jalila Foundation. HBMCDM offers
  <strong>
   three-year Master of Science /Residency programs
  </strong>
  , open to all nationalities, with English as the language of instruction. The college is affiliated with the Dental Hospital and other Dubai Health dental facilities, where students receive their clinical training.
 </p>
 <p>
  HBMCDM works in close partnership with Dubai Health dental facilities, forming an integrated Oral Health Ecosystem that connects clinical care, education, research, and community engagement.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Position description:
  </strong>
 </p>
 <p>
  This is a
  <strong>
   technical, hands-on role
  </strong>
  focused on data engineering, analytics, modeling, and visualization. The post holder will work closely with clinicians, educators, researchers, and system leaders to translate data into actionable insights.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Salary, rank, and tenure will be
  <strong>
   commensurate with experience and qualifications
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Essential Selection Criteria:
  </strong>
 </p>
 <ul>
  <li>
   Master&rsquo;s degree (or higher) in:
  </li>
  <li>
   Data Science
  </li>
  <li>
   Statistics
  </li>
  <li>
   Computer Science
  </li>
  <li>
   Biomedical / Health Informatics
  </li>
  <li>
   Applied Mathematics or related discipline
  </li>
  <li>
   Strong proficiency in
   <strong>
    Python
   </strong>
   for data analysis and modeling.
  </li>
  <li>
   Advanced
   <strong>
    SQL
   </strong>
   skills and experience working with relational databases.
  </li>
  <li>
   Solid grounding in
   <strong>
    statistics and machine learning
   </strong>
   (e.g., regression, classification, clustering, time-series analysis).
  </li>
  <li>
   Experience with
   <strong>
    data visualization and dashboards
   </strong>
   (e.g., Power BI, Tableau, or equivalent).
  </li>
  <li>
   Ability to build
   <strong>
    reproducible analytical workflows
   </strong>
   (version control, documentation, testing).
  </li>
  <li>
   3&ndash;6 years&rsquo; experience in a data science, analytics, or applied research role.
  </li>
  <li>
   Experience working with
   <strong>
    complex, real-world datasets
   </strong>
   (healthcare, education, or research data preferred).
  </li>
  <li>
   Demonstrated ability to translate stakeholder questions into analytical solutions.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Desirable Attributes:
  </strong>
 </p>
 <ul>
  <li>
   Experience working with
   <strong>
    health or clinical data
   </strong>
   (EHRs, outcomes data, registries).
  </li>
  <li>
   Familiarity with
   <strong>
    data governance, privacy, and confidentiality
   </strong>
   in regulated environments.
  </li>
  <li>
   Exposure to:
  </li>
  <li>
   Predictive modeling and forecasting
  </li>
  <li>
   Optimization or operational analytics
  </li>
  <li>
   Text, imaging, or omics data (advantageous but not required)
  </li>
  <li>
   Experience supporting
   <strong>
    research projects
   </strong>
   , publications, or grant-funded studies.
  </li>
  <li>
   Familiarity with cloud-based analytics platforms (e.g., Azure, AWS, GCP).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Develop and maintain analytics pipelines for clinical, education, and research datasets.
  </li>
  <li>
   Build dashboards and visualizations to support operational, academic, and research decision-making.
  </li>
  <li>
   Perform statistical analyses and machine learning to identify trends, patterns, and opportunities for improvement.
  </li>
  <li>
   Work closely with clinicians, faculty, and administrators to understand analytical needs.
  </li>
  <li>
   Support research projects with data preparation, analysis, and publication-ready outputs.
  </li>
  <li>
   Contribute to cross-functional analytics initiatives within the Oral Health Ecosystem.
  </li>
  <li>
   Ensure data accuracy, consistency, and documentation.
  </li>
  <li>
   Apply best practices in data security, privacy, and ethical use of health data.
  </li>
  <li>
   Support institutional standards for reproducible and auditable analytics.
  </li>
  <li>
   Contribute to departmental initiatives, working groups, and task forces as required.
  </li>
  <li>
   Engage in continuous professional development to stay current with data science best practices.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Application Process
  </strong>
 </p>
 <p>
  Interested candidates should submit:
 </p>
 <ul>
  <li>
   A full curriculum vitae.
  </li>
  <li>
   A cover letter addressing the selection criteria.
  </li>
  <li>
   Contact details for at least three referees.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Apply via Interfolio: https://apply.interfolio.com/181502
 </p>
 <p>
 </p>
</div>


Hidrocalido Digital Qatar

<p>Job Opportunity: Data Scientist</p><p><b>Location:</b> Doha, Qatar<br/><b>Company:</b> Hidrocalido Digital Qatar</p><p>About Us</p><p>Hidrocalido Digital Qatar is a forward-thinking technology company specializing in digital transformation, advanced analytics, and innovative IT solutions. Based in Doha, we empower organizations to harness the power of data for smarter decision-making and sustainable growth. As we expand, we are seeking a talented <b>Data Scientist</b> to join our team and drive data-driven innovation.</p><p>Role Overview</p><p>The <b>Data Scientist</b> will be responsible for analyzing complex datasets, building predictive models, and delivering actionable insights to support business strategies. This role requires strong technical expertise, creativity, and the ability to communicate findings effectively to both technical and non-technical stakeholders.</p><p>Key Responsibilities</p><ul><li>Collect, clean, and analyze large datasets from multiple sources.</li><li>Develop predictive models, machine learning algorithms, and statistical analyses.</li><li>Collaborate with business teams to identify opportunities for data-driven solutions.</li><li>Visualize data insights through dashboards and reports.</li><li>Ensure data integrity, accuracy, and compliance with company standards.</li><li>Stay updated on emerging data science tools, techniques, and trends.</li><li>Provide recommendations to improve business performance and efficiency.</li><li>Support integration of AI and advanced analytics into company systems.</li></ul><p>Qualifications</p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or related field.</li><li>3&ndash;6 years of experience in data science, analytics, or machine learning.</li><li>Proficiency in Python, R, SQL, and data visualization tools (Tableau, Power BI).</li><li>Strong knowledge of machine learning frameworks (TensorFlow, Scikit-learn, PyTorch).</li><li>Experience with big data platforms (Hadoop, Spark) is a plus.</li><li>Excellent analytical, problem-solving, and communication skills.</li><li>Ability to work independently and in a collaborative team environment.</li></ul><p>Why Join Us?</p><ul><li>Be part of a growing data science team in Doha.</li><li>Play a key role in shaping Hidrocalido Digital Qatar&rsquo;s analytics strategy.</li><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career advancement.</li><li>Supportive, innovation-driven, and technology-focused work culture.</li></ul><p>نوع الوظيفة: دوام كامل</p><p>الراتب المدفوع: QAR٠٫٠٠&nbsp;لكل شهر</p><p>موقع العمل: بشكل شخصي</p>

Microsoft

<div><b>Overview</b><div><p><br>
Join an innovative team that delivers core Copilot Shared Services for our flagship Office Apps such as Word, Excel, and PowerPoint. Our mission is to deliver the next generation of personalized Copilot experiences leveraging best of breed Microsoft technologies across Copilot Platform, Microsoft Substrate, and beyond. Consider this opportunity to advance our approach in ways that benefits millions of people. We will achieve this through innovation and vision for our next-gen solutions, connecting key partnerships across Microsoft, and influencing best-of-breed advancements leveraging AI technology.</p><p>
Within Copilot Shared Services, we apply a data-driven approach to innovation, led by experimentation, and leveraging new foundational LLMs, advanced ML techniques, rich algorithms, and AI technologies. The skills of Data Science will help us to accelerate developmental advancements and improve quality of our customer experiences. We invest in agentic solutions and are working to advance methods of evaluation and automated customer solutions. We are looking for a Data Scientist 2 to join our team to help shape the future of how Office users interact with Copilot and AI. You will leverage your understanding of data science and business to examine projects and consider factors that can influence final outcomes within technical areas.</p><p>
In this role as a <b>Data Scientist II</b>, you&rsquo;ll work closely with engineers, program managers, data scientists and applied scientists to improve our approach to experimentation, and advance personalized experiences, the use of foundational models, advancement of evaluation techniques, and improve overall efficiency.
</p><p>Responsibilities will include leading with a data first mindset, advancing experimentation, evaluations and datasets, evolution of advanced prompt engineering, selection and fine-tuning of models, develop concepts for more efficient and accurate solutions, and research and assess different architectures and approaches from across the M365 ecosystem. You will connect with leaders and subject matter experts across the company and play a key role in building reliable, measurable systems that bridge cutting-edge AI with their expression across M365 Copilot user experiences.</p><p>
If you're excited about advancing applied AI and making a difference in the future of Copilot, we&rsquo;d love to hear from you.</p><p>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</p></div><b><br>
Responsibilities</b><br>
<div><ul><li>
Define, lead, and implement advanced, repeatable data-driven pipelines and techniques with an emphasis on evaluation for the next generation of model generated suggested user actions.</li><li>
Conduct research projects and workstreams that directly benefit our customers, drive positive usage, and improve Microsoft&rsquo;s core productivity products.</li><li>
Evolve our approach of our prompt engineering, model selection, design and manage evaluation datasets, develop concepts for more efficient and accurate solutions, and researching and assessing different architectures and approaches from across the M365 ecosystem.
</li><li>Collaborate and coordinate with people in a range of roles, including researchers, engineers, product managers, designers, and product leaders and other key product stakeholders.</li><li>
Generate AI solutions that can be shipped to customers to improve their experience and used internally to generate data insights to shape the features and products we ship to customers.</li><li>
Teach, guide, and tutor colleagues without research backgrounds in state-of-the-art techniques and research best practices.</li><li>
Many of the things you will try should lead to unexpected outcomes. You must be comfortable learning from experience, developing new hypotheses, and iterating.</li><li>
Sharing project outcomes and insights with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven.</li></ul></div><br>
<b>
Qualifications</b><p><b><br>
Required Qualifications:</b></p><ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field<ul><li>
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience</li><li>
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR equivalent experience.</li></ul></li></ul><p><b>
Other Requirements:</b></p><p>
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:</p><ul><li><b>
Microsoft Cloud Background Check:</b> This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.</li></ul><p><b>
Preferred Qualifications:</b></p><div><ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)<ul><li>
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)</li><li>
OR equivalent experience.</li></ul></li></ul></div><br>
<br>
<br>
<p>Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.
</p><p></p><p>Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:<br>
https://careers.microsoft.com/us/en/us-corporate-pay</p><p><br>
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Data Scientist 2 for Office Copilot Services

Momentive Software

<div><h1 class="jobSectionHeader"><b>Job Description
</b></h1><p><b>Key Responsibilities:
</b></p><ul><li><b>Data Analysis &amp; Insight Generation
</b></li></ul><ul><li><ul><li><p>Analyze large and complex datasets to extract meaningful insights that drive business outcomes.
</p></li><li><p>Communicate findings and recommendations through reports, dashboards, and presentations.
</p></li></ul></li></ul><ul><li><b>Data Engineering &amp; Preparation
</b></li></ul><ul><li><ul><li><p>Clean, preprocess, and transform raw data for analysis and modeling.
</p></li><li><p>Collaborate with data engineering teams to ensure data availability and quality.
</p></li></ul></li></ul><ul><li><b>Collaboration with Stakeholders
</b></li></ul><ul><li><ul><li><p>Work closely with product managers, engineers, and business leaders to understand requirements and deliver data-driven solutions.
</p></li><li><p>Translate business problems into analytical frameworks.
</p></li></ul></li></ul><ul><li><b>A/B Testing &amp; Experimentation
</b></li></ul><ul><li><ul><li><p>Design and analyze A/B tests to measure the impact of product changes and marketing campaigns.
</p></li><li><p>Provide statistical rigor in experimentation and decision-making.
</p></li></ul></li></ul><ul><li><b>Research &amp; Innovation
</b></li></ul><ul><li><ul><li><p>Stay up-to-date with the latest developments in data science, machine learning, and AI.
</p></li><li><p>Propose innovative approaches and solutions for complex problems.
</p></li></ul></li></ul><p>Other duties as assigned
</p><p><b>Qualifications
</b></p><ul><li><p>Education
</p><ul><li><p>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
</p></li></ul></li><li><p>Experience
</p><ul><li><p>5+ years of experience in data science or a related field.
</p></li><li><p>Hands-on experience with data analysis, machine learning, and statistical modeling.
</p></li></ul></li><li><p>Technical Skills
</p><ul><li><p>Proficiency in <b>Python </b>, <b>R </b>or similar technologies for data analysis and modeling.
</p></li><li><p>Strong experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning libraries (e.g., Scikit-Learn, TensorFlow, PyTorch).
</p></li><li><p>SQL proficiency for data extraction and transformation.
</p></li><li><p>Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Spark, Hadoop) is a plus.
</p></li></ul></li></ul><p></p><h1 class="jobSectionHeader"><b>About Us
</b></h1><p></p><p>Momentive Software amplifies the impact of over 20,000 purpose-driven organizations in over 30 countries, with over $11 billion raised and 55 million members served to date. Mission-driven nonprofits and associations rely on Momentive&rsquo;s cloud-based software and services to address their most pressing challenges &ndash; from engaging their communities to simplifying operations and growing revenue. Designed to help organizations connect more, manage more, and ultimately expect more, Momentive's solutions are built with reliability at the core and strategically focus on fundraising, learning, events, careers, volunteering, accounting, and association management. Momentive partners with organizations that believe &quot;good enough&quot; is never enough &ndash; so they can bring on better outcomes for everyone they serve. Learn more at momentivesoftware.com .<br>
<br>
</p><h1 class="jobSectionHeader"><b>Why Work Here?
</b></h1><p>At Momentive Software, we&rsquo;re a team of passionate problem-solvers, innovators, and volunteers who believe in using technology to make a real difference. We dream big, support each other, and take pride in creating solutions that help our customers drive meaningful change. If you&rsquo;re looking for a place where your work matters and your ideas are valued, you&rsquo;ll find it here.
</p><p></p><p>Medical, Dental &amp; Vision Benefits
</p><p>401(k) Savings Plan with Company Match
</p><p>Flexible Planned Paid Time Off
</p><p>Generous Sick Leave
</p><p>Inclusive &amp; Welcoming Environment
</p><p>Purpose-Driven Culture
</p><p>Work-Life Balance
</p><p>Commitment to Community Involvement
</p><p>Employer-Paid Parental Leave
</p><p>Employer-Paid Short-Term Disability
</p><p>Remote Work Flexibility
<br>
<br>
Momentive Software actively embraces diversity and equal opportunity in a meaningful way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be, which is why we do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
<br>
<br>
All persons hired will be required to verify identity, minimum age of 18, eligibility to work in the United States (without sponsorship), and to complete the required employment eligibility verification form upon hire.</p></div>

Data Engineer III

RATP Dev Mobility Cairo

<div>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 The Data Scientist is responsible for leveraging data to generate insights, support decision-making, and enhance operational efficiency. The role focuses on analyzing complex datasets from various business systems (such as timetables, schedules, ridership data, and maintenance systems) and translating them into actionable intelligence. This includes developing data-driven models, creating dynamic visualizations, and collaborating with stakeholders to improve data adoption and utilization across the organization.
 <br/>
 <br/>
 <strong>
  Responsibilities/Duties
  <br/>
  <br/>
 </strong>
 <strong>
  Profil de candidat recherch&eacute; :
  <br/>
  <br/>
 </strong>
 <strong>
  Data Science &amp; Analytics
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Perform data transformations, cleaning, and preprocessing to ensure quality and reliability.
  </li>
  <li>
   Design, test, and implement machine learning and AI models to support predictive and operational needs.
  </li>
  <li>
   Maintain and update a library of analytical tools, scripts, and programs.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Business Intelligence &amp; Visualization
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, develop, and maintain interactive dashboards and reporting solutions using Power BI, Qlik Sense, and other tools.
  </li>
  <li>
   Build dynamic visualizations that support decision-making across operations and maintenance functions.
  </li>
  <li>
   Document processes and maintain user guides to ensure smooth adoption of reporting solutions.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Collaboration &amp; Communication
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Partner with internal departments to define data needs, establish data streams, and enhance KPI tracking.
  </li>
  <li>
   Liaise with software vendors and internal teams to ensure desired system features and performance are met.
  </li>
  <li>
   Clearly communicate findings and explain complex concepts to both technical and non-technical stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Continuous Improvement &amp; Knowledge Sharing
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Identify opportunities to restructure source data and influence the adoption of cleaner data structures.
  </li>
  <li>
   Provide training sessions, short briefs, and knowledge-sharing activities to upskill colleagues.
  </li>
  <li>
   Promote the use of company data tools, AI models, and portals to increase adoption and business value.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Safety Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.
  </li>
  <li>
   Comply with the requirements of RDMC RQHSE Policy and Safety Management System.
  </li>
  <li>
   Be mindful that Safety, Security, and Environmental protection are everyone&rsquo;s responsibility.
  </li>
  <li>
   All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <strong>
  ESSENTIAL QUALIFICATIONS, KNOWLEDGE &amp; EXPERIENCE
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Mathematics, or a related STEM field.
  </li>
  <li>
   Additional certifications in Data Science, Machine Learning, AI, or data visualization technologies are an advantage.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Knowledge
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Proficiency in English; French is a plus.
  </li>
  <li>
   Strong understanding of relational databases (SQL Server, MySQL, Oracle, etc.) with the ability to write queries.
  </li>
  <li>
   Knowledge of data visualization and analytics concepts.
  </li>
  <li>
   Ability to develop practical solutions using data.
  </li>
  <li>
   Proficiency in Microsoft Office applications.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3&ndash;5 years of relevant experience in data science, software development, or data analysis.
  </li>
  <li>
   Hands-on experience in programming (Python, C++ or similar).
  </li>
  <li>
   Practical experience with data visualization tools (Power BI, Qlik, Excel).
  </li>
  <li>
   Proven track record of delivering data science projects as a hands-on implementer.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Behaviors &amp; Experiences
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Demonstrates curiosity and persistence in identifying insights and creating business value.
  </li>
  <li>
   Able to work independently and collaborate effectively within a team environment.
  </li>
  <li>
   Communicates clearly and confidently, both verbally and in writing, to different audiences.
  </li>
  <li>
   Show adaptability and flexibility when working with diverse stakeholders.
  </li>
  <li>
   Strong problem-solving skills with the ability to manage competing priorities.
  </li>
  <li>
   Takes initiative, meets deadlines, and shows accountability for results.
  </li>
 </ul>
</div>


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