data science lead

Avalere Health

<div><div><b>About Avalere Health</b></div><div></div><div><br>
United by one profound purpose: to reach <b>EVERY PATIENT POSSIBLE</b>. At Avalere Health, we ensure every patient is identified, treated, supported, and cared for. Equally. Our Advisory, Medical, and Marketing teams come together &ndash; powerfully and intentionally &ndash; to forge unconventional connections, building a future where healthcare is not a barrier and no patient is left behind.</div><div></div><div><br>
Achieving our mission starts with providing enriching, purpose-driven careers for our team that empower them to make a tangible impact on patient lives. We are committed to creating a culture where our employees are empowered to bring their whole selves to work and tap into the power of diverse backgrounds and skillsets to play a part in making a difference for every patient, everywhere.</div><div></div><div><br>
Our flexible approach to working allows our global teams to decide where they want to work, whether in-office or at home based on team and client need. Major city hubs in London, Manchester, Washington, D.C., and New York, and smaller offices globally, serve as collaboration hubs allowing our teams to come together when it matters. Homeworkers are equally supported, with dedicated social opportunities and resources.<br>
</div><div></div><br>
<div>Our inclusive culture is at the heart of everything we do. We proudly support our employees in bringing their whole selves to work with our six Employee Network Groups &ndash; Diverse Ability, Family, Gender, LGBTQ+, Mental Health, and Race/Ethnicity. These groups provide opportunities to promote diversity, equity, and inclusion and to connect, learn, and socialise through regular meetings and programs of activity. We are an accredited Fertility Friendly employer with our Fertility Policy, enhanced parental leave, and culture of flexibility ensuring every employee feels supported across their family planning journey and can work in a way that suits their family&rsquo;s needs.</div><div></div><div><br>
We are deeply invested in supporting professional growth for our employees through day-to-day career experiences, access to thousands of on-demand training sessions, regular career conversations, and the opportunity for global, cross-capability career moves.</div><div></div><div><br>
We take pride in being part of the Disability Confident Scheme. This helps make sure you can be interviewed fairly if you have a disability, long term health condition, or are neurodiverse. If you'd like to apply and need adjustments made, you can let us know in your application.</div><div></div><div><div><br>
<p>
We are seeking an Associate Director of Media Data Science to lead advanced media analytics across HCP and DTC campaigns. This individual will be an innovator and cross-functional collaborator who pushes the boundaries of healthcare media measurement, connects complex datasets, and translates insights into compelling business narratives.</p>
</div>
<div><p>This role sits at the intersection of data science, media strategy, and client impact &mdash; responsible for connecting omnichannel media investment to measurable outcomes and growth.</p>
</div>
</div><h3 class="jobSectionHeader"><b>What You'll Do</b></h3><div>
<div>
<ul><li><p>Lead advanced measurement strategy across HCP and DTC campaigns, including MMM, multi-touch attribution, incrementality testing, brand affinity, and lift studies.</p>
</li>
</ul></div><div><ul><li><p>Integrate and analyze healthcare datasets including IQVIA, Crossix, PurpleLab, Experian, Medicaid, and other claims or identity-based data sources to quantify media impact.</p>
</li>
</ul></div><div><ul><li><p>Connect exposure across linear TV, Google, SEM, display, paid social, radio, and programmatic to business outcomes and promotional KPIs.</p>
</li>
</ul></div><div><ul><li><p>Query and manipulate large datasets within Snowflake, operating within a medallion (Bronze/Silver/Gold) data architecture.</p>
</li>
</ul></div><div><ul><li><p>Build structured datasets and dashboards in Tableau and Looker that support real-time insight generation and executive reporting.</p>
</li>
</ul></div><div><ul><li><p>Translate statistical and modeling outputs into clear, actionable storylines that demonstrate how campaigns drive business performance.</p>
</li>
</ul></div><div><ul><li><p>Develop executive-ready PowerPoint presentations that bring data to life for clients and senior stakeholders.</p>
</li>
</ul></div><div><ul><li><p>Collaborate closely with Media Strategy, Data Strategy, Engineering, and Account teams to ensure measurement frameworks are aligned with business objectives.</p>
</li>
</ul></div><div><ul><li><p>Mentor analysts and foster a culture of innovation, rigor, and cross-functional partnership within the data science function.</p>
</li>
</ul></div></div><h3 class="jobSectionHeader"><b>About You</b></h3><div>
<div>
<div><ul><li><p>6&ndash;10+ years of experience in data science, advanced analytics, or media measurement, preferably within healthcare or pharma.</p>
</li>
</ul></div><div><ul><li><p>Deep experience with MMM, multi-touch attribution, lift studies, and healthcare claims analysis.</p>
</li>
</ul></div><div><ul><li><p>Proficiency in SQL and Snowflake; experience operating within medallion data architecture environments.</p>
</li>
</ul></div><div><ul><li><p>Strong Tableau and/or Looker development skills.</p>
</li>
</ul></div><div><ul><li><p>Experience leveraging IQVIA, Crossix, PurpleLab, Experian, or similar healthcare data platforms.</p>
</li>
</ul></div><div><ul><li><p>Advanced PowerPoint skills with the ability to communicate complex analysis clearly and persuasively.</p>
</li>
</ul></div></div><div><div><ul><li><p>Proven ability to translate omnichannel media data into measurable business impact narratives.</p>
</li>
</ul></div></div></div><div><b>What we can offer</b></div><div></div><div><br>
You will receive a 401K plan with an employer match contribution up to 4% (immediately vested), as well as life insurance, disability coverage, and medical, dental, and vision plans for peace of mind. Enjoy flexible working arrangements, including hybrid and remote work, along with the option to work from anywhere across the globe two weeks each year. We provide 20 vacation days plus one personal well-being day, recognise 9 public holidays, along with gifted end-of-year holidays and an early Summer Friday finish in June, July, and August.</div><div></div><div><br>
Access free counselling through our employee assistance program and personalized health support. Our enhanced maternity, paternity, family leave, and fertility policies provide support across every stage of your family-planning journey. You can also benefit from continuous opportunities to professionally develop with on-demand training, support, and global mobility opportunities across the business.<br>
</div><div></div><br>
<div><b>We encourage all applicants to read our </b>candidate privacy notice <b>before applying to Avalere Health.</b></div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Associate Director, Media Data Science

ZS Associates

<div>:
<p><b>
ZS</b> is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by <b>bringing together data, science, technology</b> and <b>human ingenuity</b> to deliver better outcomes for all. Here you&rsquo;ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a <b>client-first mentality</b> to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning, bold ideas, courage and passion to drive life-changing impact to ZS.</p><br>
<div></div>
 : Advanced Data Science Manager
<p>Salary: $215000 to $255000 per year
</p><p>
Location: Evanston, IL and various, unanticipated locations throughout the United States.
</p><p>
Benefits: Comp package offers min/max salary + COLA, leave policies, bonus incentives, relo, med/den/life ins, retirement benefits.
</p><p>
Job Role and Responsibilities: Directly oversee, manage, and provide technical and quantitative guidance to junior team members, including degreed Associates, Associate Consultants and Consultants in the United States using knowledge of an advanced level of skill in data science, business analytics, quantitative methodologies, algorithms and data structures, modeling, and statistical analysis (15%). Direct all aspects of data science-oriented project acquisition and project management using business analytics and/or scientific software and operating systems while applying mathematical and deductive reasoning (15%). Liaise with Project Leadership to define the project scope and budget and develop data analytics strategies using Big Data, advanced analytics, and algorithms, including text mining, social listening, recommended systems or predictive modeling (15%). Manage client relationships to drive new business development and ensure long-term strategic partnerships (10%). Manage both internal and external team communications, including directing internal team status meetings and communicating any changes in deadlines, scope, and timing with client project managers (10%). Provide data analytics innovation within projects and practice areas, advising internal groups and leading initiatives on business operations excellence (10%). Develop data science capabilities and offerings that create scale and advance ZS's analytic platform using Java, Python, R, or related programming language as well as Agile project planning and project management (15%). Supervise business and strategy development activities from a data science/statistics perspective and cultivate and expand client relationships (5%). Direct recruiting, training, coaching, mentoring, HR-related policies (leave, Performance Improvement Plans, etc.) for subordinates and provide developmental opportunities for team members (5%). May work in various, unanticipated locations throughout the United States. Position may require up to 25% domestic travel.
</p><p>Contact: Apply online or contact ZS at careers@zs.com referencing the Req ID above. Position eligible for Employee Referral Program (with incentives). Multiple openings.
</p><p>
Qualifications: Master's degree, or foreign degree equivalent, in Applied Mathematics, Engineering, Business Analytics or a related field and four (4) years of data analysis experience. Alternatively, employer will accept a Bachelor's degree in Applied Mathematics, Engineering, Business Analytics, or a related field and six (6) years of data analysis experience.
</p><p>With either requirement, position requires experience with: 1.Agile project planning and project management; 2.Java, Python, R, or related programming language; 3.Big Data, advanced analytics, and algorithms, including text mining, social listening, recommender systems or predictive modeling; 4.Hadoop ecosystem or related database system; and 5.Team management. :
</p><p><b>
How you&rsquo;ll grow:</b></p><ul><li>
Cross-functional skills development &amp; custom learning pathways</li><li>
Milestone training programs aligned to career progression opportunities</li><li>
Internal mobility paths that empower growth via s-curves, individual contribution and role expansions</li></ul><p></p><p><b><br>
Perks &amp; Benefits:</b></p><p>
At ZS, your growth matters. We offer a comprehensive total rewards package that supports your health and well‑being, financial future, time away, and professional development. With robust skills‑building programs, multiple career progression paths, internal mobility, and a deeply collaborative culture, you&rsquo;ll have the opportunity to do meaningful work, expand your capabilities, and thrive as part of a global community. For details on total rewards in United States, visit ZS US office locations | Where we work | ZS.<br>
</p><p></p><p><b>Hybrid working model:</b></p><p>
We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections.</p><p></p><p><b><br>
Travel:</b></p><p>
Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures.</p><p></p><p><b><br>
Considering applying?</b></p><p>
At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems&mdash;the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive.</p><p></p><p><br>
If you&rsquo;re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply.<br>
<br>
ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law.<br>
<br>
To complete your application:<br>
Candidates must possess or be able to obtain work authorization for their intended country of employment. An on-line application, including a full set of transcripts (official or unofficial), is required to be considered.<br>
<br>
NO AGENCY CALLS, PLEASE.<br>
<br>
Find Out More At:<br>
www.zs.com</p></div>

Advanced Data Science Manager - RC26 (Evanston, IL)

American Modern Insurance Group

<div><div><b>Location</b> Amelia, United States <b>Job type</b> Full-Time <b>Work mode</b> Remote <b>Job level</b> Professional <b>Job ID</b> 12724 <b>Company</b> American Modern Insurance Group <b>Employment type</b> Regular <b>Area of expertise</b> Data, BI &amp; Analytics</div></div><p></p>
<br><div><b>All locations</b> Amelia, United States; Akron, United States; Carmel, United States; Cincinnati, United States; Cleveland, United States; Columbia, United States; Dayton, United States; Durham, United States; Indianapolis, United States;
<div><div><div>Drive the future of AI‑powered decision‑making by leading sophisticated machine learning and GenAI solutions that shape strategy and outcomes.</div></div><p></p><p>
American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader that delivers products and services for residential property &ndash; such as manufactured homes and specialty dwellings &ndash; and the recreational market, including boats, personal watercraft, classic cars, and more. We provide specialty product solutions that cover what the competition often can&rsquo;t. We write admitted products in all 50 states and have a premium volume of $2.2 billion.</p><p></p><p>
Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of Munich Re&rsquo;s Global Specialty Insurance division. Our employees receive boundless opportunity to grow their careers and make a difference every day - all in a flexible environment that helps them succeed both at work and at home.</p><p></p><p>
Join our innovative Predictive Analytics team as a Principal Data Scientist and play a key role in shaping and executing our Artificial Intelligence and Machine Learning (AI/ML) strategy. As a member of the AI/ML Predictive Analytics team, you will be responsible for driving the development and deployment of cutting-edge AI/ML models that drive business growth, inform strategic initiatives, and revolutionize business decision-making across domains in the organization. You will have the opportunity to make a significant impact on our organization, develop and implement new analytics methodologies and best practices, and mentor and guide junior team members. We are looking for a data scientist with proven expertise in executing AI/ML strategy, developing and deploying complex models, and driving business outcomes through data-driven decision-making.</p><p></p><p><b>
Purpose:</b></p><p>
Use data and statistical analysis to drive business decisions and target improved results across various functional areas.</p><p></p><p><b>
Roles &amp; Responsibilities:</b></p><ul><li>
Execute AI/ML strategy, with the ability to contribute to strategy development as well.</li><li>
Develop, deploy, monitor, and maintain predictive models using Python, with a focus on AI and machine learning techniques to drive business outcomes.</li><li>
Utilize expertise in Large Language Models (LLMs) to develop innovative solutions for natural language processing and text analysis tasks.</li><li>
Collaborate with cross-functional teams to identify business problems and develop data-driven solutions.</li><li>
Work closely with data engineering teams to design and implement data pipelines and architectures.</li><li>
Prepare and complete predictive analytics analysis and modeling with general guidance on very complex projects.</li><li>
Participate in the development of predictive analytics and modeling presentations and present results/topics to stakeholders and management as requested.</li><li>
Concentrate on loosely defined problems which require application of creative approaches. Contribute to projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and profitability.</li><li>
Complete required data preparation, including data input with guidance. Identify data anomalies and seek guidance on necessary adjustments.</li><li>
Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques.</li><li>
Document and communicate assumptions, results, and alternatives to team members and internal customers with guidance.</li><li>
Create and maintain modeling best practices and new techniques in coordination with internal and external business partners.</li><li>
Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand stakeholders&rsquo; requests and hidden issues and explain possible solutions in their language.</li><li>
Schedule and prioritize workload demands. Maintain very good organization skills. Complete technical peer reviews as needed.</li><li>
Maintain strong interpersonal skills - listen deeply, ask correct questions, take notes, complete professional oral and written business communications (including email communications), presentations, and build business relationships in order to better understand insurance company processes and functions. Established relationships with multiple areas of interaction.</li></ul><p></p><p><b>
Required Technical Skills</b></p><ul><li>
Expert-level proficiency in Python, with experience in popular libraries such as NumPy, pandas, and scikit-learn.</li><li>
Deep understanding of and experience building AI and machine learning models, as well as experience deploying GenAI solutions.</li><li>
Experience with big data platforms is highly desirable.</li><li>
Familiarity with cloud-based data platforms, such as AWS or Azure, is a plus.</li><li>
Strong understanding of data structures, algorithms, and software design patterns.</li><li>
Experience working in an agile team environment, with familiarity with Scrum or Kanban methodologies.</li><li>
Strong commitment to testing, validation, and continuous improvement of models and workflows.</li><li>
Experience with MLflow, including model management, versioning, and deployment.</li></ul><p></p><p><b>
Skills / Knowledge / Experience:</b></p><ul><li>
Develop and project manage modeling projects and statistical analyses.</li><li>
Effectively communicate results to business partners and help drive business decisions.</li><li>
Participate in creation and discussion of best practices and propose new techniques.</li><li>
Mentor junior team members.</li><li>
Six (6) or more years of data science/predictive analytics experience in insurance or Eight (8+) or more years predictive modeling experience in another industry.</li><li>
Please note, this is not a managerial role but has the potential to develop into one over time.</li></ul><p></p><p><b>
Education, Certifications &amp; Designations:</b></p><ul><li>
Master&rsquo;s degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and Operation Research double major</li></ul><p></p><p>
We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits:</p><ul><li>
Two options for your health insurance plan (PPO or High Deductible)</li><li>
Prescription drug coverage (included in your health insurance plan)</li><li>
Vision and dental insurance plans</li><li>
Short and Long Term Disability coverage</li><li>
Supplemental Life and AD&amp;D plans that you can purchase for yourself and dependents (includes spouse/domestic partner and children)</li><li>
Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity)</li></ul><p></p><p>
In addition to the above insurance offerings, our employees also enjoy:</p><p></p><ul><li>
A robust 401k plan with up to a 5% employer match</li><li>
A retirement savings plan that is 100% company funded</li><li>
Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries</li><li>
Eligibility to receive a yearly bonus as a Munich Re employee</li><li>
A variety of health and wellness programs provided at no cost</li><li>
A hybrid environment that gives you a choice in where and how you get work done</li><li>
A corporately subsidized on-site cafeteria as well as a We Proudly Serve coffee shop</li><li>
An on-site complimentary workout facility as well as walking trails on campus grounds</li><li>
On-site wellness center complete with nurse practitioner</li><li>
Financial assistance for adoptions and infertility treatment</li><li>
Paid time off for eligible family care needs</li><li>
Tuition assistance and educational achievement bonuses</li><li>
Free parking</li><li>
A corporate matching gifts program that further enhances your charitable donation</li><li>
Paid time off to volunteer in your community</li></ul><p></p><p>
At American Modern, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.</p><p></p><p>
We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p><p></p><p>
Applicants requiring employer sponsorship of a visa will not be considered for this position.</p><p></p><p>
Salary range: $150-170K base</p><p></p><p>
#LI-SF1</p></div></div><p></p>
<br><div><div><div><h2 class="jobSectionHeader"><b>Your Benefits</b></h2>
<p>With us, you get more than just an exciting job. Enjoy a wide range of employee benefits tailored to your wellbeing and development. Please note that regional differences may apply.</p>
</div><div><div><p>Competitive Salary</p>
<p>We provide fair and competitive compensation that reflects your performance and commitment.</p>
</div><div><p>Company performance-based Incentives</p>
<p>In addition to your salary, our variable compensation approach allows you to share in Munich Re's success.</p>
</div><div><p>Recognition and Special Rewards</p>
<p>We recognise outstanding individual contributions through a variety of targeted rewards and incentives.</p>
</div><div><p>Retirement Planning</p>
<p>We support your long-term financial wellbeing with retirement solutions aligned with local regulations.</p>
</div><div><p>Inclusive Workplace Culture</p>
<p>We foster a respectful, inclusive, and values-driven environment.</p>
</div><div><p>Learning &amp; Development</p>
<p>We offer tailored learning opportunities with a strong focus on core skills and business-critical knowledge.</p>
</div><div><p>Work-Life-Balance</p>
<p>Supporting your ability to balance family, leisure, and your career.</p>
</div><div><p>Health &amp; Wellbeing</p>
<p>We support your physical and mental health through a range of programs and activities in each location.</p></div></div></div></div>

AI Data Scientist

The Home Depot

<div><p><b>Position Purpose:</b></p><p>
The Data Science Sr. Manager - GenBI is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.<br>
As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions . This role is expected to lead collaboration between Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.</p><p><b><br>
Key Responsibilities:</b></p><ul><li>
50% People Management &amp; Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments</li><li>
15% Program Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs</li><li>
25% Strategy &amp; Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management</li><li>
10% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged</li></ul><p><b><br>
Direct Manager/Direct Reports:</b></p><ul><li>
This position reports to Director or above</li><li>
This position has Direct Reports and manages programs</li></ul><p><b><br>
Travel Requirements:</b></p><ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul><p><b><br>
Physical Requirements:</b></p><ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul><p><b><br>
Working Conditions:</b></p><ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul><p><b><br>
Minimum Qualifications:</b></p><ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
Demonstrated proficiency in predictive modeling, data mining and data analysis</li><li>
Proficient managing and growing team members in a professional setting</li><li>
Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting</li><li>
Demonstrated experience with translating high level strategy to tactical execution</li></ul><p><b><br>
Preferred Qualifications:</b></p><ul><li>
11+ years of experience in business intelligence and analytics</li><li>
Previous people or project team management experience</li><li>
Demonstrated expertise in predictive modeling, data mining and data analysis</li><li>
Mastery running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient with data visualization software (preferably Tableau)</li><li>
Mastery utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li></ul><p><b><br>
Minimum Education:</b></p><ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul><p><b><br>
Preferred Education:</b></p><ul><li>
No additional education</li></ul><p><b><br>
Minimum Years of Work Experience:</b></p><ul><li>
10</li></ul><p><b><br>
Preferred Years of Work Experience:</b></p><ul><li>
No additional years of experience</li></ul><p><b><br>
Minimum Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Preferred Leadership Experience:</b></p><ul><li>
None</li></ul><p><b><br>
Certifications:</b></p><ul><li>
None</li></ul><p><b><br>
Competencies:</b></p><ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Directs Work: Provides direction, delegating and removing obstacles to get work done</li><li>
Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity</li><li>
Interpersonal Savvy: Relating openly and comfortably with diverse groups of people</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Persuades: Using compelling arguments to gain the support and commitment of others</li><li>
Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies</li></ul></div><p></p>

Data Science Senior Manager - Generative BI

ITWORX

<div><p>Lead Technical Architect | Fulltime</p>
<div><h6 class="jobSectionHeader"><b>Job Description:</b></h6>
<p></p><p><b>Key accountabilities and decision ownership:</b></p>
<ul><li>Provide design and architecture for the assigned proposals and projects for Data &amp; AI domain.</li>
<li>Translate client needs into fit-for-purpose Data &amp; AI solutions, leveraging modern cloud platforms (Azure, AWS or GCP).</li>
<li>Lead complex implementations that deliver measurable outcomes. Architect and scale GenAI chatbots and Agentic AI solutions. Evaluate and select appropriate models, frameworks, and orchestration tools.</li>
<li>Build reusable architecture artifacts.</li>
<li>Review the gathered requirements by the Business Analysis; ensure it is in line with the architecture design and apply modifications if needed.</li>
<li>Align with the technical lead on the Data &amp; AI architecture design to start the implementation process.</li>
<li>Rework and apply any changes and work in alignment with the development team.</li>
<li>Support the development team on architecture matters when needed.</li>
<li>Document all the architecture work.</li>
<li>Mentor technical architects and senior architects and provide them with support with their projects when needed.</li>
<li>Support the chief of architecture in enhancing and modifying different engineering review processes.</li>
</ul></div><p></p><div><h6 class="jobSectionHeader"><b>Job Requirements:</b></h6>
<p></p><p><b>Must have professional qualifications:</b></p>
<ul><li>Bachelor's degree in computer science or equivalent.</li>
<li>15+ years of experience in software development including at least 6 years as an architect.</li>
<li>Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space.</li>
<li>Hands-on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph).</li>
<li>Strong working knowledge and practical experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services.</li>
<li>Hands on Experience in Prompt engineering, context engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability.</li>
<li>Experience in Enterprise-grade RAG-based solutions with LLMs (e.g. OpenAI, Hugging Face, LLaMA, etc.) and vector databases (e.g. Pinecone, Weaviate, FAISS, etc.).</li>
<li>Proficiency in Python with AI/ML frameworks (PyTorch, TensorFlow).</li>
<li>Experience with MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes).</li>
<li>Masters degree in data science is plus.</li>
</ul></div><p></p><div><h6 class="jobSectionHeader"><b>Equal opportunity:</b></h6>
<p>All qualified applicants will receive consideration for employment without regard to age, religion, gender, nationality or disability. All qualified candidates will be considered in the process</p></div></div><p></p>
<br><div><div><div><div><div>Posted 4 weeks ago
</div></div></div><div><div><div><div><div><ul><li><b>Job Location</b></li>
<li>Egypt</li>
</ul></div></div><div><div><ul><li><b>Job Code</b></li>
<li><b>2084</b></li>
</ul></div></div></div></div></div><div><div><div><div><h5 class="jobSectionHeader"><b>Job Overview</b></h5>
</div><div><div><ul><li>Experience</li>
<li>15+ years of experience in software development including at least 6 years as an architect Years</li>
</ul></div></div><div><div><ul><li>Job Level:</li>
<li>Managerial</li>
</ul></div></div><div><div><ul><li>Education</li>
<li>Bachelor's degree in computer science or equivalent</li></ul></div></div></div></div></div></div></div><p></p>

Lead Technical Architect

Ejadah Management Consultancy

<div>
 <p>
  <strong>
   Key Responsibilites:
  </strong>
 </p>
 <p>
  Lead the end-to-end
  <strong>
   AI delivery function
  </strong>
  , ensuring consistent, high-quality execution across multiple squads and business domains
 </p>
 <ul>
  <li>
   Oversee the
   <strong>
    full lifecycle of AI initiatives
   </strong>
   , from use case identification and prioritization through to deployment, scaling, and continuous optimization
  </li>
  <li>
   Establish and institutionalize
   <strong>
    delivery governance frameworks
   </strong>
   , including clear operating models, performance cadence, and accountability structures
  </li>
  <li>
   Build and lead
   <strong>
    high-performing, cross-functional teams
   </strong>
   , including engineering, data science, and product, operating through layered leadership
  </li>
  <li>
   Define and implement
   <strong>
    scalable AI platform architectures
   </strong>
   , enabling reuse, interoperability, and efficient deployment across the enterprise
  </li>
  <li>
   Drive the adoption of
   <strong>
    enterprise-grade MLOps standards
   </strong>
   , including CI/CD pipelines, model versioning, automated testing, and controlled release processes
  </li>
  <li>
   Ensure robust
   <strong>
    AI lifecycle management and model governance
   </strong>
   , including monitoring, drift detection, retraining strategies, and incident management protocols
  </li>
  <li>
   Standardize delivery through
   <strong>
    platform-based approaches
   </strong>
   , including shared data pipelines, reusable components, and consistent model serving patterns
  </li>
  <li>
   Collaborate closely with business and technology leadership to ensure
   <strong>
    alignment between AI delivery and strategic priorities
   </strong>
  </li>
  <li>
   Define and track
   <strong>
    key performance indicators
   </strong>
   related to delivery efficiency, model performance, and business value realization
  </li>
  <li>
   Ensure adherence to
   <strong>
    responsible AI principles
   </strong>
   , including auditability, transparency, and regulatory alignment
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirments:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related discipline;
   <strong>
    advanced degree preferred
   </strong>
  </li>
  <li>
   Minimum of 10 years of experience in
   <strong>
    AI, machine learning, advanced analytics, or software engineering
   </strong>
   , with a strong record of delivering solutions in production environments
  </li>
  <li>
   Demonstrated success in leading
   <strong>
    large-scale AI delivery functions
   </strong>
   , including managing managers and cross-functional teams within complex organizations
  </li>
  <li>
   Deep expertise in
   <strong>
    MLOps and ML lifecycle management
   </strong>
   , including model versioning, CI/CD, monitoring, and continuous improvement practices
  </li>
  <li>
   Strong understanding of
   <strong>
    enterprise AI architectures
   </strong>
   , including data pipelines, feature stores, model serving, and hybrid cloud/on-premise environments
  </li>
  <li>
   Proven ability to design and scale
   <strong>
    platform-based AI capabilities
   </strong>
   , enabling reuse and consistency across multiple use cases
  </li>
  <li>
   Experience operating within structured environments requiring
   <strong>
    governance, controls, and auditability
   </strong>
   , preferably within regulated or large-scale industries
  </li>
  <li>
   Strong
   <strong>
    stakeholder management and communication capabilities
   </strong>
   , with the ability to engage senior leadership and translate business objectives into execution
  </li>
  <li>
   Demonstrated ability to balance
   <strong>
    strategic thinking with hands-on delivery oversight
   </strong>
   , ensuring both direction and execution excellence
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
</div>


Ai Delivery Director

Team Moxim

<p>Job Opportunity: AI Solutions Architect</p><p><b>Location:</b> Mesaieed, Qatar<br/><b>Company:</b> Team Moxim</p><p>About Us</p><p>Team Moxim is a cutting-edge technology company specializing in artificial intelligence, machine learning, and digital transformation solutions. With a strong presence in Mesaieed, we empower businesses to harness AI for smarter decision-making, operational efficiency, and innovation. As we expand, we are seeking a visionary <b>AI Solutions Architect</b> to design and deliver advanced AI-driven systems.</p><p>Role Overview</p><p>We are looking for an <b>AI Solutions Architect</b> to lead the design, development, and deployment of AI solutions. This role requires a professional with deep expertise in AI technologies, cloud platforms, and enterprise integration. You will be responsible for shaping Team Moxim&rsquo;s AI strategy, ensuring scalable solutions, and driving innovation across industries.</p><p>Key Responsibilities</p><ul><li>Design and architect AI solutions tailored to client needs.</li><li>Oversee development and deployment of machine learning models and AI applications.</li><li>Collaborate with business leaders and technical teams to align AI strategy with organizational goals.</li><li>Ensure compliance with data governance, security standards, and ethical AI practices.</li><li>Monitor KPIs, system performance, and solution effectiveness.</li><li>Manage resources, budgets, and vendor relationships.</li><li>Lead and mentor AI engineers and data scientists.</li><li>Represent Team Moxim in AI industry forums, conferences, and professional networks.</li></ul><p>Qualifications</p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>8+ years of experience in AI/ML solution design, with at least 3 years in an architect-level role.</li><li>Strong knowledge of machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).</li><li>Experience with cloud platforms (AWS, Azure, Google Cloud) and enterprise integration.</li><li>Proven track record of delivering scalable AI solutions.</li><li>Excellent leadership, organizational, and communication skills.</li><li>Ability to thrive in a fast-paced, innovation-driven environment.</li></ul><p>Why Join Us?</p><ul><li>Lead AI initiatives at one of Qatar&rsquo;s premier technology innovators.</li><li>Play a key role in shaping Team Moxim&rsquo;s digital future.</li><li>Competitive salary and benefits package.</li><li>Opportunities for career growth and professional development.</li><li>Collaborative and forward-thinking work culture.</li></ul><p>Pay: Up to QAR32,000.00 per month</p><p>Work Location: In person</p>

AI Solutions Architect

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