senior data developer

Coca-Cola HBC

<div><div><div><div><div><div><div><div>Egypt (Cairo)
</div></div></div></div><div><div><div>Information Technology
</div></div></div><div><div><div>Hybrid
</div></div></div><div><div><div>Experienced Professionals
</div></div></div></div></div></div><div><div><div><div><div><div><div><b>Department:</b> Digital Factory, Digital &amp; Technology Platform Services.</div><div><b>
Location: </b>Cairo, Egypt.</div><div></div><div><br>
We are looking for a highly skilled and experienced <b>Senior Azure Data Developer</b> with <b>significant technical skills in Azure and business acumen</b> to join our team in Coca-Cola Hellenic Digital &amp; Technology Platform Services (DTPS) and be part of the BI Reporting team. You will have the opportunity to contribute to the strategy, design and development of our Enterprise and Operational Reporting, providing insights and supporting decision making for end users. The role involves significant collaboration with business and IT teams, opportunity to integrate &amp; transform data from various data systems into structures that are suitable for building analytical solutions, design, develop and implement Azure-based solutions connecting certified and validated data sources to Power BI front-end visualizations and creating a single source of truth for reporting in CCH.</div><div></div><div><b><br>
YOUR KEY RESPONSIBILITIES:</b></div><ul><li>Assist in the design, development, and maintenance of ETL (Extract, Transform, Load) processes using Azure Data Factory</li><li>Implement data ingestion processes from various data sources into Azure data storage solutions.</li><li>Work with Azure SQL Database, Azure Data Lake Storage, and Hive &amp; Databricks to store and manage large datasets (Terabytes of data)</li><li>Ensure data integrity and availability by implementing appropriate storage solutions</li><li>Integrate data from various sources, ensuring accuracy, completeness, and consistency</li><li>Collaborate with data scientists and analysts to understand data requirements and provide necessary support</li></ul><div></div><div><b><br>
ARE THESE YOUR SECRET INGREDIENTS?</b></div><ul><li>Bachelor's or Master&rsquo;s degree in computer science, information technology, data science, or a related field (or an equivalent of 7+ years of practical experience in a tech-domain)</li><li>Master&rsquo;s degree in computer science, information technology, data science, or a related field (or an equivalent of 7+ years of practical experience in a tech-domain)</li><li>Hands-on experience with MS Power BI, MS PowerApps, MS Azure Data Factory, MS Azure Data Lake Store, SQL Database (T-SQL), DAX &amp; Power Query M (3+ years)</li><li>Proven track record of implementing proof-of-concept (POC) backend solutions</li><li>Expert knowledge with cloud platforms (Azure, Google Cloud Storage, Amazon), preferably Microsoft Azure &ndash; with a focus on data warehousing &amp; backend development</li><li>Strong programming skills in languages such as C#, .NET, Python, Scala or Java</li><li>Experience with big data architectures and large data volumes technologies (partitioned tables with billions of records, files with hundreds of GBs)</li><li>Familiarity with big data technologies such as Hadoop, Spark, and Hive as well as strong knowledge with data manipulation frameworks such a PySpark</li><li>Experience with big data architectures and large data volumes technologies (partitioned tables with billions of records, files with hundreds of GBs) are a plus</li><li>First proven leadership capabilities towards junior employees and a proactive approach to project management is a plus</li><li>Strong analytical &amp; problem-solving abilities, as well as good communication skills</li><li>Strong willingness to learn and adapt to new technologies and tools</li><li>Good proficiency in English as a day-to-day business language is a must.</li></ul><div></div><div><br>
Preferred qualifications:</div><ul><li>Strong hands-on understanding of data modelling concepts and techniques as well as DevSecOps concepts and tools and practical experience in their implementation</li><li>Strong understanding of DevOps principles and experience with CI/CD pipelines</li><li>Working experience within the SAFE Agile framework is appreciated</li><li>Knowledge of SAP BW (extractors, transformations, queries, data export) and Azure Data Sources would be appreciated</li></ul><div></div><div><b><br>
ABOUT YOUR NEW TEAM:</b></div><div>
We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.</div><div>
We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.</div><div>
We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.</div><div>
And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.</div><div></div><div><b><br>
AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE</b></div><div>
At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.</div></div>
</div></div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Benefits
</b></h3></div></div><div><div><div><div><div>Development opportunities</div>
</div></div><div><div><div>Equal opportunity employer</div>
</div></div><div><div><div>IT Equipment</div>
</div></div><div><div><div>Learning programs</div>
</div></div><div><div><div>Work with iconic brands</div>
</div></div><div><div><div>Supportive team</div>
</div></div><div><div><div>Volunteering Opportunities</div>
</div></div><div><div><div>Wellbeing program</div></div></div></div></div></div></div>

Senior Data Developer (Azure)

Atrium Health

<p></p><div><p><b>Department:</b></p>
85160 Greater Charlotte Research and Other Sponsored Programs - Academic for Center of Health System Sciences<p></p><p><b><br>
Status:</b>
</p>Full time<p></p><p><b><br>
Benefits Eligible:</b></p>
Yes<p></p><p><b><br>
Hou</b><b>rs Per Week:</b></p>
40<p></p><p><b><br>
Schedule Details/Additional Information:</b></p><p>
Data Developer &ndash; Senior is a role in the Center for Health System Sciences (CHASSIS) at Atrium Health. The role is responsible for providing custom data solutions for a wide range of medical research projects. Eligible candidates must be able to translate requirements into an actionable data management plan. This includes, but is not limited to designing, coding, debugging, testing, deploying code/processes, and communicating results. Regular interaction with clients. Candidates will be successful in this role if they become a subject matter expert with internal data warehouses, are proficient in SQL to source and manipulate data, have a customer centric mindset, proactively mitigate and addresses conflict, and communicate results to clients. LICENSURE, CERTIFICATION, and/or REGISTRATION: Epic certification or achievement of applicable system training/proficiency within 3 months of hire. The Data Developer- Senior develops and administers data management processes; query and reporting tools, and analytical applications. Analyzes data systems and decision support business requirements and associated source systems to design and develop the application architecture and data management architecture. Handles the detailed design specification development, coding, testing, debugging, and documentation associated with implementing and maintaining the analytical applications and data management processes.</p><p></p><p><b>
Pay Range</b></p>
$47.50 - $71.25<p></p><p>
Essential Functions</p><br>
<ul><li>
Develops work plans, estimated tasks, and provides budget input for items related to the development of data management processes and analytical applications. Provides input into determining project scope and is able to communicate and manage project scope.</li><li>
Identifies, defines, documents, analyzes, and obtains customer sign-off on data systems/decision support business requirements. Analyzes these requirements to establish the application architecture.</li><li>
Establishes the data management architecture through an analysis of business requirements source system data, and source system application architectures. Confers with peers to evaluate and approve technical architecture and to define the optimal location and configuration of extract, load, and transformation, routines.
</li><li>Coordinates development of extract routines with source system team leads. Identifies and coordinates timeframes for test file and production file delivery.</li><li>
Plans and manages system tests, customer acceptance tests, and performance tests efforts. Establishes testing procedures. Coordinates the execution of such tests and the resolution of any issues, escalating to management when appropriate.</li></ul><p></p><b>
Physical Requirements</b><br>
Works under normal office conditions; may include sitting for long periods of time, standing, walking, climbing stairs, using repetitive wrists/arms motions of lifting articles up to 35 lbs. Must travel in personal care to other facilities occasionally. This position requires overtime occasionally.<p><b><br>
Education, Experience and Certifications</b></p><br>
High School Diploma or GED required; Bachelor's Degree preferred. 4 years in healthcare planning, operations, or managed care is strongly preferred. 4 years of experience designing, implementing, and supporting data systems/decision support systems strongly preferred. High proficiency using computer software tools and working with databases required. Expertise in functional systems is strongly preferred. Strong skills in design and development of SQL Server, SSIS, SSAS, relational database design, star schema design/dimensional modeling, Business Objects, and MS Windows. Familiarity with data visualization design principles and with database performance tuning concepts preferred. Strong business perspective and facilitation skills. Thorough knowledge or ability to rapidly acquire such knowledge of the operations, functions, and procedures. Strong communication skills necessary to be effective communicating at all levels of the organization.<p></p><p><b><br>
Our Commitment to You:</b></p><p></p><p>
Advocate Health offers a comprehensive suite of Total Rewards: benefits and well-being programs, competitive compensation, generous retirement offerings, programs that invest in your career development and so much more &ndash; so you can live fully at and away from work, including:</p><p></p><p><b>
Compensation</b></p><ul><li>
Base compensation listed within the listed pay range based on factors such as qualifications, skills, relevant experience, and/or training</li><li>
Premium pay such as shift, on call, and more based on a teammate's job</li><li>
Incentive pay for select positions</li><li>
Opportunity for annual increases based on performance</li></ul><p></p><p><b>
Benefits and more</b></p><ul><li>
Paid Time Off programs</li><li>
Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability</li><li>
Flexible Spending Accounts for eligible health care and dependent care expenses</li><li>
Family benefits such as adoption assistance and paid parental leave</li><li>
Defined contribution retirement plans with employer match and other financial wellness programs</li><li>
Educational Assistance Program</li></ul><p></p><p><b><br>
About Advocate Health</b></p><p></p><p>
Advocate Health is the third-largest nonprofit, integrated health system in the United States, created from the combination of Advocate Aurora Health and Atrium Health. Providing care under the names Advocate Health Care in Illinois; Atrium Health in the Carolinas, Georgia and Alabama; and Aurora Health Care in Wisconsin, Advocate Health is a national leader in clinical innovation, health outcomes, consumer experience and value-based care. Headquartered in Charlotte, North Carolina, Advocate Health services nearly 6 million patients and is engaged in hundreds of clinical trials and research studies, with Wake Forest University School of Medicine serving as the academic core of the enterprise. It is nationally recognized for its expertise in cardiology, neurosciences, oncology, pediatrics and rehabilitation, as well as organ transplants, burn treatments and specialized musculoskeletal programs. Advocate Health employs 155,000 teammates across 69 hospitals and over 1,000 care locations, and offers one of the nation&rsquo;s largest graduate medical education programs with over 2,000 residents and fellows across more than 200 programs. Committed to providing equitable care for all, Advocate Health provides more than $6 billion in annual community benefits.</p><p>
</p>Develops and administers data management processes; query and reporting tools, and analytical applications. Analyzes data systems and decision support business requirements and associated source systems to design and develop the application architecture and data management architecture. Handles the detailed design specification development, coding, testing, debugging, and documentation associated with implementing and maintaining the analytical applications and data management processes</div>

Data Developer Senior GCM

Red Sea Global

<div>
 <p>
  <strong>
   Be the change. Join the world&rsquo;s most visionary developer.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Red Sea Global (RSG) is showing that there is a better way to positively shape the places we live, work and travel.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are purpose-driven and committed to people and planet. Our transformative programs are a driving force to achieving Vision 2030, as well as leading the world towards regenerative tourism.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Join RSG and be part of the positive change for Saudi Arabia and the world.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Purpose:
  </strong>
 </p>
 <p>
  Help in implementing advanced data science and analytics solutions by developing models, evaluating
 </p>
 <p>
  enterprise data assets, and providing actionable insights that support data-driven decision-making,
 </p>
 <p>
  performance optimization, and advanced analytics initiatives across Red Sea Global.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Responsibilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Implement data acquisition, profiling, cleansing, and transformation processes across enterprise data sources to ensure data integrity, analytical readiness, and alignment with defined governance and quality standards.
  </li>
  <li>
   Develop statistical, machine learning, and predictive models to analyze complex datasets, identify trends and correlations, and support operational, commercial, and strategic decision-making use cases.
  </li>
  <li>
   Evaluate data usability, completeness, and value to determine suitability for reporting, analytics, and coordinating remediation actions with data owners and data platform teams.
  </li>
  <li>
   Design and maintain analytical data views, semantic layers, and curated datasets used by BI tools, dashboards, and advanced analytics solutions to ensure consistent and business aligned interpretation of data.
  </li>
  <li>
   Provide analytical outputs, visualizations, and insight narratives that translate complex findings into clear recommendations tailored to technical and non-technical stakeholders.
  </li>
  <li>
   Support enterprise data governance execution by contributing to data quality controls, KPI definitions, business metadata documentation, and data stewardship activities across assigned data domains.
  </li>
  <li>
   Coordinate with business units to understand analytical requirements, validate assumptions, and deliver data-driven solutions addressing performance gaps and operational challenges.
  </li>
  <li>
   Review recurring data quality or analytical issues through root-cause analysis and contribute to corrective actions across data-producing functions to enhance long-term data reliability.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Academic Qualifications:
  </strong>
  bachelor&rsquo;s degree in data science, Computer Science, Statistics, or a related field.
 </p>
 <p>
  <strong>
   Years of Experience:
  </strong>
  4 years of relevant experience.
 </p>
 <p>
  <strong>
   Other Requirements:
  </strong>
  Certified Data Scientist (CDS), IBM Data Science Professional Certificate, or Microsoft Certified: Data Scientist Associate is preferred.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   For more information about Red Sea Global, visit:
  </strong>
 </p>
 <p>
  🌐 Website: https://www.redseaglobal.com/en
 </p>
 <p>
  🔗 LinkedIn: https://www.linkedin.com/company/red-sea-global/
 </p>
 <p>
  ▶️YouTube: https://www.youtube.com/channel/UCMo1fSbA3iOhvvC8OP0IYNA
 </p>
 <p>
  🐦 Twitter: @TheRedSeaGlobal
 </p>
</div>


Senior Specialist – Data Science

SDG Group

<div><p><b>Job Title: </b>Senior Data Scientist</p><p><b>
Location: </b>Hybrid (Chicago, IL or New York City, NY)</p><p><b>
Job Type: </b>Full-Time</p><p></p><p><b><br>
About SDG Consulting </b>SDG Consulting is a global consulting firm specialized in Data &amp; Analytics. We are committed to unlocking organizations&rsquo; potential by offering in-depth analytics expertise that empowers our clients to become successful data-driven enterprises. Our mission is to help clients define, design, and implement transformative AI technologies to gain a sustainable competitive advantage. We help reinvent core operations, deliver hyper-personalized customer experiences, and create new AI-powered business models that drive enduring growth.</p><p><b>
Position Overview</b></p><p>
As a Senior Data Scientist, you will play a highly visible and critical role bridging the gap between advanced technical execution and business strategy. You will be responsible for navigating and optimizing production codebases, with a strong emphasis on Recommendation Engines.</p><p>
This is a senior-level position that requires an independent, highly experienced professional who requires minimal supervision. Beyond technical development, you will be heavily involved in leading deployment and change management, acting as a key communicator and trusted advisor to business stakeholders, particularly sales teams.</p><p><b>
Key Responsibilities</b></p><ul><li><p><b>
Deployment &amp; Change Management: </b>Lead the deployment of data science solutions and drive change management initiatives, working hand-in-hand with sales teams to ensure successful adoption.</p></li><li><p><b>
Production Code Mastery: </b>Quickly pick up, understand, and navigate existing production codebases to optimize and scale models efficiently.</p></li><li><p><b>
Recommendation Engines: </b>Design, refine, and implement advanced Recommendation Engines tailored to business needs.</p></li><li><p><b>
Stakeholder Communication: </b>Act as a strategic liaison to the business, translating complex data science concepts into actionable insights for non-technical audiences, particularly sales professionals.</p></li><li><p><b>
Presentation Excellence: </b>Create high-quality, executive-level presentations (PPT) and deliver them with confidence and clarity.</p></li><li><p><b>
Independent Execution: </b>Take full ownership of your workstreams, driving projects forward proactively and with minimal hand-holding.</p></li><li><p><b>
Experimentation (Bonus): </b>Design and execute A/B testing frameworks to measure model effectiveness and business impact.</p></li></ul><p><b>
Qualifications</b></p><ul><li><p><b>
Experience Level: </b>Highly experienced Data Scientist; this is a senior role and is not suitable for junior or entry-level candidates.</p></li><li><p><b>
Location: </b>Must be based in or willing to commute to Chicago, IL or New York City, NY.</p></li><li><p><b>
Core Technical Skills: </b>Highly skilled Python programmer with deep expertise in Recommendation Engines.</p></li><li><p><b>
Preferred Technologies: </b>Hands-on experience with PySpark and Databricks is strongly preferred.</p></li><li><p><b>
Communication Skills: </b>Exceptional presentation and PPT skills; native-level or highly fluent English proficiency is required to effectively influence and align with US-based business stakeholders.</p></li><li><p><b>
Industry Experience: </b>Previous consulting or industry experience with Spirits or Retail clients is a major plus.</p></li><li><p><b>
Project Management (Bonus): </b>Formal project management skills or certifications (e.g., PMP, Six Sigma Black Belt) are highly desirable.</p></li></ul><p><b>
What We Offer</b></p><ul><li><p><b>
Stability and Growth: </b>Full-time employment in a growing high-tech industry with a meritocratic culture that provides opportunities for professional growth.</p></li><li><p><b>
Competitive Compensation: </b>A competitive salary and a 401(k) retirement plan with an employer match.</p></li><li><p><b>
Comprehensive Benefits: </b>Robust healthcare and benefits package including Medical, Dental, Vision, and Disability coverage.</p></li><li><p><b>
Work-Life Balance: </b>3+ weeks of paid vacation, a flexible holiday schedule, and hybrid working arrangements that balance on-site and remote work.</p></li><li><p><b>
Supportive Community: </b>A welcoming, collaborative, and inclusive culture where you can learn from exceptional professionals and make a significant impact.</p></li></ul></div><p></p>

Senior Data Scientist

Unum

<p></p><div><p>When you join the team at Unum, you become part of an organization committed to helping you thrive.
</p><p></p><p>Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life&rsquo;s moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:
</p><ul><li><p>Award-winning culture
</p></li><li><p>Inclusion and diversity as a priority
</p></li><li><p>Performance Based Incentive Plans
</p></li><li><p>Competitive benefits package that includes: Health, Vision, Dental, Short &amp; Long-Term Disability
</p></li><li><p>Generous PTO (including paid time to volunteer!)
</p></li><li><p>Up to 9.5% 401(k) employer contribution
</p></li><li><p>Mental health support
</p></li><li><p>Career advancement opportunities
</p></li><li><p>Student loan repayment options
</p></li><li><p>Tuition reimbursement
</p></li><li><p>Flexible work environments
</p></li></ul><p></p><h3 class="jobSectionHeader"><b><i>*All the benefits listed above are subject to the terms of their individual Plans </i></b><b>.
</b></h3><p></p><p>And that&rsquo;s just the beginning&hellip;
</p><p></p><p>With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you&rsquo;re directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!
</p><p></p><h2 class="jobSectionHeader"><b>General Summary:
</b></h2>Are you passionate about using AI and advanced analytics to solve complex, high‑visibility business problems? Do you thrive in an innovation‑driven environment where you can prototype, experiment, and shape the future of AI at scale? If so, this is the role for you.
<br>
<br>
We are seeking a Senior or Principal Data Scientist to join our innovation hub&mdash;a small, agile team tackling the company&rsquo;s most strategic challenges. You&rsquo;ll build POCs, develop end‑to‑end machine learning and generative AI solutions, and work directly with senior leaders across the enterprise.
<br>
<br>
What You Bring
<br>
<br>
Bachelor&rsquo;s in a quantitative field required (Master&rsquo;s/PhD preferred)
<br>
6+ years of experience in data science or machine learning
<br>
Strong Python and SQL skills
<br>
Experience with cloud platforms (AWS preferred; Azure/GCP comparable)
<br>
Databricks + PySpark experience is a strong plus
<br>
Background in statistical modeling, ML algorithms, and feature engineering
<br>
Ability to build automated analytics workflows and work with APIs
<br>
Strong communication skills with experience influencing senior stakeholders
<br>
Entrepreneurial mindset, curiosity, and comfort working in fast‑moving environments
<p></p><p><b>Job Specifications / Qualifications
</b></p><div><p><b>Education
</b></p><ul><li><p>Bachelor's degree in a quantitative field required.
</p></li><li><p>Master&rsquo;s or PhD in a quantitative discipline preferred.
</p></li></ul><p><b>Experience
</b></p><ul><li><p>6+ years of professional experience or equivalent relevant work.
</p></li><li><p>Proven track record leading end‑to‑end data science projects with measurable business impact.
</p></li></ul><p><b>Technical Expertise
</b></p><p><b>Core Data Science Capabilities (expert in at least two, strong in others):
</b></p><ul><li><p><b>Programming &amp; Automation:
</b></p><ul><li><p>Python required; experience with automation, DevOps practices, APIs, file I/O, and database integrations.
</p></li><li><p>Experience engineering solutions in cloud environments (AWS preferred; Azure/Google comparable).
</p></li><li><p>Exposure to object‑oriented development and scalable architecture.
</p></li></ul></li><li><p><b>Data Visualization:
</b></p><ul><li><p>Expertise across multiple visualization tools and techniques.
</p></li><li><p>Ability to tailor visuals to business use cases and audiences.
</p></li></ul></li><li><p><b>Statistics &amp; Machine Learning:
</b></p><ul><li><p>Deep knowledge of statistical inference, regression, feature selection, feature extraction, and ML algorithms.
</p></li><li><p>Experience leading large-scale modeling projects end-to-end.
</p></li><li><p>Familiarity with generative AI approaches is a plus.
</p></li></ul></li><li><p><b>Data Engineering / ETL:
</b></p><ul><li><p>Strong SQL skills; ability to design, debug, and optimize complex queries.
</p></li><li><p>Ability to navigate and explore large databases independently.
</p></li><li><p>Experience combining internal and external data sources.
</p></li></ul></li></ul><p><b>Soft Skills &amp; Business Leadership
</b></p><ul><li><p>Strong communication skills, including the ability to influence senior leaders.
</p></li><li><p>Project management expertise and strong business acumen (financial services experience a plus).
</p></li><li><p>Ability to manage multiple concurrent initiatives in a fast‑moving environment.
</p></li><li><p>Comfortable leading engagements and representing analytics with executive leadership.
</p></li></ul></div><p></p><div><p><b>Primary Responsibilities
</b></p><p><b>Analytical Solution Development
</b></p><ul><li><p>Design, develop, and execute analytical solutions using optimization, simulation, machine learning, generative AI, and statistical modeling.
</p></li><li><p>Construct predictive models to explain events, forecast behaviors, identify risk, or perform segmentation and clustering.
</p></li><li><p>Apply domain expertise to ensure models are practical, interpretable, and aligned with business needs.
</p></li><li><p>Evaluate alternative approaches and select appropriate modeling techniques for each use case.
</p></li></ul><p><b>Data Engineering &amp; Preparation
</b></p><ul><li><p>Integrate and transform large volumes of data from diverse sources (e.g., DB2, SQL Server, Teradata, APIs) to support analytics and experimentation.
</p></li><li><p>Build modeling‑ready datasets using validation, reconciliation, feature engineering, and aggregation techniques.
</p></li><li><p>Write complex SQL queries involving multi‑table joins, data exploration, and troubleshooting with minimal guidance.
</p></li><li><p>Develop logical data models combining internal and external datasets; lead conversations with external data providers when needed.
</p></li></ul><p><b>Automation &amp; Deployment
</b></p><ul><li><p>Build automated analytics pipelines leveraging scripting, APIs, DevOps practices, and cloud platforms.
</p></li><li><p>Partner with engineering and IT teams to scale solutions, automate workflows, and integrate models into business processes.
</p></li><li><p>Play a lead role in operationalizing AI/ML solutions within production environments.
</p></li></ul><p><b>Visualization, Insights &amp; Communication
</b></p><ul><li><p>Develop and deliver clear, compelling visualizations (static or dynamic) tailored to various audiences.
</p></li><li><p>Interpret analytical results and communicate actionable insights that influence senior leaders and key business partners.
</p></li><li><p>Translate complex technical work into business‑friendly recommendations.
</p></li></ul><p><b>Leadership, Mentorship &amp; Collaboration
</b></p><ul><li><p>Coach, mentor, and develop junior data scientists; provide technical guidance and feedback.
</p></li><li><p>Provide leadership on data science initiatives, ensuring outputs meet quality standards.
</p></li><li><p>Work in a collaborative, innovation-focused environment with product owners, engineers, data architects, and business partners.
</p></li><li><p>Manage multiple projects simultaneously, prioritizing independently and guiding less experienced team members.
</p></li></ul><p><b>Innovation &amp; Research
</b></p><ul><li><p>Stay current on emerging statistical methods, machine learning advancements, and generative AI tools.
</p></li><li><p>Conduct independent R&amp;D to prototype new approaches and explore innovative solutions for high‑visibility business problems.
</p></li><li><p>Demonstrate entrepreneurial, self‑starter mindset with a strong curiosity and continuous‑learning orientation.
</p></li></ul></div><p></p><p>#LI-AD1
</p><p>#LI-Multi
<br>
~IN1
</p><p></p><p>Unum and Colonial Life are part of Unum Group, a Fortune 500 company and leading provider of employee benefits to companies worldwide. Headquartered in Chattanooga, TN, with international offices in Ireland, Poland and the UK, Unum also has significant operations in Portland, ME, and Baton Rouge, LA - plus over 35 US field offices. Colonial Life is headquartered in Columbia, SC, with over 40 field offices nationwide.
</p><p></p><p>Unum is an equal opportunity employer, considering all qualified applicants and employees for hiring, placement, and advancement, without regard to a person's race, color, religion, national origin, age, genetic information, military status, gender, sexual orientation, gender identity or expression, disability, or protected veteran status.
</p><p></p><p>The base salary range for applicants for this position is listed below. Unless actual salary is indicated above in the job description, actual pay will be based on skill, geographical location and experience.
</p>$89,400.00-$183,500.00
<p></p><p>Additionally, Unum offers a portfolio of benefits and rewards that are competitive and comprehensive including healthcare benefits (health, vision, dental), insurance benefits (short &amp; long-term disability), performance-based incentive plans, paid time off, and a 401(k) retirement plan with an employer match up to 5% and an additional 4.5% contribution whether you contribute to the plan or not. All benefits are subject to the terms and conditions of individual Plans.
</p><p></p><p>Company:
</p>Unum</div>

Senior Data Scientist - GenAI/Python/AWS/SQL

Mastech Digital

<div>
 <p>
  <strong>
   Title: Senior Data Analyst
  </strong>
 </p>
 <p>
  <strong>
   Duration: Long term
  </strong>
 </p>
 <p>
  <strong>
   Location: Dallas , TX
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Job Description:
   </u>
  </strong>
 </p>
 <p>
  <strong>
   <u>
   </u>
  </strong>
 </p>
 <p>
  Primary responsibilities of the Senior Data Analyst include supporting and analyzing data anomalies for multiple environments including but not limited to Data Warehouse, ODS, Data Replication/ETL Data Management initiatives. The candidate will be in a supporting role and will work closely with Business, DBA, ETL and Data Management team providing analysis and support for complex Data related initiatives. This individual will also be responsible for assisting in initial setup and on-going documentation/configuration related to Data Governance and Master Data Management solutions. This candidate must have a passion for data, along with good SQL, analytical and communication skills.
 </p>
 <p>
  Responsibilities
 </p>
 <ul>
  <li>
   Investigate and Analyze data anomalies and data issues reported by Business
  </li>
  <li>
   Work with ETL, Replication and DBA teams to determine data transformations, data movement and derivations and document accordingly
  </li>
  <li>
   Work with support teams to ensure consistent and pro-active support methodologies are adhered to for all aspects of data movements and data transformations
  </li>
  <li>
   Assist in break fix and production validation as it relates to data derivations, replication and structures
  </li>
  <li>
   Assist in configuration and on-going setup of Data Virtualization and Master Data Management tools
  </li>
  <li>
   Assist in keeping documentation up to date as it relates to Data Standardization definitions, Data Dictionary and Data Lineage
  </li>
  <li>
   Gather information from various Sources and interpret Patterns and Trends
  </li>
  <li>
   Ability to work in a team-oriented, fast-paced agile environment managing multiple
  </li>
  <li>
   priorities
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   4+ years of SQL experience working in OLTP, Data Warehouse and Big Data databases
  </li>
  <li>
   4+ years of experience working with Exadata and SQL Server databases
  </li>
  <li>
   4+ years in a Data Analyst role
  </li>
  <li>
   Strong attention to Detail
  </li>
  <li>
   2+ years writing medium to complex stored procedures a plus
  </li>
  <li>
   Ability to collaborate effectively and work as part of a team
  </li>
  <li>
   Extensive background in writing complex queries
  </li>
  <li>
   Extensive working knowledge of all aspects of Data Movement and Processing, including ETL, API, OLAP and best practices for data tracking
  </li>
  <li>
   Good Communication skills
  </li>
  <li>
   Self-Motivated
  </li>
  <li>
   Works well in a team environment
  </li>
  <li>
   Denodo Experience a plus
  </li>
  <li>
   Master Data Management a plus
  </li>
  <li>
   Big Data Experience a plus (Hadoop, MongoDB)
  </li>
  <li>
   Postgres and Cloud Experience a plus
  </li>
 </ul>
 <p>
 </p>
</div>


Sr Data Analyst

Envision Employment Solutions

<div>
 <p>
  <strong>
   Envision Employment Solutions
  </strong>
  is currently hiring a
  <strong>
   Senior Data Scientist
  </strong>
  for one of our partners, a global leader in IT Services and IT Consulting.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Summary:
  </strong>
 </p>
 <p>
  We are seeking a highly experienced Senior Data Scientist to design, build, and deploy advanced machine learning and NLP solutions, including large language model applications. The ideal candidate has strong production experience, deep expertise in transformer-based architectures, and a proven ability to lead technical initiatives from research to deployment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <p>
  <strong>
   Machine Learning &amp; NLP Development
  </strong>
 </p>
 <ul>
  <li>
   Design and develop end-to-end machine learning models, with a strong focus on NLP applications
  </li>
  <li>
   Fine-tune and deploy large language models such as GPT, BERT, and LLaMA for specific use cases
  </li>
  <li>
   Build, train, and evaluate deep learning models using TensorFlow, PyTorch, or Keras
  </li>
  <li>
   Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions
  </li>
  <li>
   Develop and optimize transformer-based models for summarization, Q&amp;A, and document intelligence tasks
  </li>
  <li>
   Evaluate and optimize prompt engineering strategies and context efficiency
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data
  </strong>
  <strong>
   Engineering
  </strong>
  &amp; Pipelines
 </p>
 <ul>
  <li>
   Develop data pipelines using tools such as Airflow, Spark, or Dataiku
  </li>
  <li>
   Perform data wrangling and preprocessing using pandas and NumPy
  </li>
  <li>
   Design and manage feature stores
  </li>
  <li>
   Integrate and manage vector databases such as Pinecone, FAISS, or Chroma
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Model Deployment &amp; Production
  </strong>
 </p>
 <ul>
  <li>
   Build and maintain RESTful APIs for serving ML models in production
  </li>
  <li>
   Deploy scalable AI services and manage CI/CD pipelines
  </li>
  <li>
   Monitor model performance, drift detection, and lifecycle management
  </li>
  <li>
   Conduct A/B testing, ensemble blending, and apply explainability techniques such as SHAP and LIME
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Statistical &amp; Analytical Expertise
  </strong>
 </p>
 <ul>
  <li>
   Apply advanced statistics, probability theory, and experimental design
  </li>
  <li>
   Conduct hypothesis testing and data-driven analysis to support business decisions
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Collaboration &amp; Integration
  </strong>
 </p>
 <ul>
  <li>
   Work closely with product and engineering teams to embed AI solutions into production systems
  </li>
  <li>
   Collaborate with cross-functional stakeholders to deliver scalable AI capabilities
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Artificial Intelligence, Computer Science, or related field
  </li>
  <li>
   Minimum 4 years of experience in machine learning and data science roles
  </li>
  <li>
   Proven track record of delivering production-grade ML and NLP projects
  </li>
  <li>
   Experience leading small data science teams or technical workstreams
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Requirements
  </strong>
 </p>
 <ul>
  <li>
   Strong programming skills in Python and R
  </li>
  <li>
   Proficiency in ML libraries including Scikit-learn, pandas, and NumPy
  </li>
  <li>
   Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
  </li>
  <li>
   Hands-on experience with NLP libraries including NLTK, spaCy, TextBlob, and Hugging Face Transformers
  </li>
  <li>
   Strong expertise in transformer architectures and LLM fine-tuning
  </li>
  <li>
   Experience using LangChain or LlamaIndex for orchestration
  </li>
  <li>
   Experience deploying ML models via RESTful APIs
  </li>
  <li>
   Knowledge of model monitoring, explainability, and performance optimization
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Leadership and Soft Skills
  </strong>
 </p>
 <ul>
  <li>
   Ability to lead small teams or project workstreams
  </li>
  <li>
   Strong ownership mindset with focus on quality and delivery timelines
  </li>
  <li>
   Ensures alignment of technical work with business KPIs
  </li>
  <li>
   Coaches and mentors mid-level team members
  </li>
  <li>
   Strong problem-solving and collaboration skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits &amp; Work Setup
  </strong>
 </p>
 <ul>
  <li>
   Basic salary
  </li>
  <li>
   Social insurance
  </li>
  <li>
   Family Medical Insurance (AXA)
  </li>
  <li>
   <strong>
    Location:
   </strong>
   New Cairo
  </li>
  <li>
   <strong>
    Work Model:
   </strong>
   Hybrid &ndash; 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client&rsquo;s premises on a daily basis, depending on the project requirements.
  </li>
  <li>
   <strong>
    Working Hours:
   </strong>
   9 AM to 6 PM
  </li>
  <li>
   <strong>
    Days Off:
   </strong>
   Fridays and Saturday
  </li>
 </ul>
</div>


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