director of science

Careem

<div><div>Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires. 
Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.

We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.</div><div><h2 class="jobSectionHeader">
About the Role</h2>

The Director of Data Science (ML) leads Careem&rsquo;s central Machine Learning and Data Science organization &mdash; a 30+ members team driving applied AI innovation across the Everything App. This leader defines and executes Careem&rsquo;s AI strategy, scaling machine learning capabilities across all verticals, and ensuring AI becomes a core competitive differentiator.

You will shape how Careem personalizes user experiences, optimizes its marketplace dynamics, and leverages the latest in Generative AI and Large Language Models to serve millions of customers every day.<h2 class="jobSectionHeader"> 
</h2>
<h2 class="jobSectionHeader">What you'll do</h2>
<h3 class="jobSectionHeader">1. Strategic Leadership</h3>
Define and execute the vision and multi-year strategy for Data Science and Machine Learning across all Careem verticals. 
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Closely partner with product, engineering, and business leaders to identify and prioritize high-impact AI opportunities with measurable business ROI. 
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Drive standardization, scalability, and platformization across ML systems to accelerate delivery and innovation. 
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Evangelize AI across the company, ensuring alignment between AI investments and Careem&rsquo;s overall strategic priorities. 
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</ul><h3 class="jobSectionHeader">2. Team Leadership &amp; Development</h3>
Build, lead, and inspire a high-performing team of 30+ ML engineers and data scientists distributed across geographies and domains. 
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Foster a culture of inclusion, experimentation, and excellence &mdash; empowering teams to take ownership and innovate. 
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Ensure clear ownership and accountability across core DS streams, and continuously evolve team structure for scale and accelerating impact. 
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Mentor emerging leaders and invest in developing technical and leadership capabilities across the organization. 
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</ul><h3 class="jobSectionHeader">3. Technical &amp; Operational Excellence</h3>
Oversee the design, development, and deployment of end-to-end ML systems &mdash; from data collection and feature engineering to productionized models and monitoring. 
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Partner with engineering to ensure robust infrastructure for training, retraining, and serving ML models at scale. 
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Define and oversee the technical AI roadmap and direction for the team. 
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Lead innovation in Generative AI and LLM applications, ensuring Careem stays at the forefront of applied AI technologies. 
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Champion MLOps and automation to reduce experimentation-to-production cycle time. 
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</ul><h3 class="jobSectionHeader">4. Product Impact &amp; Delivery</h3>
Ensure each Data Science domain delivers measurable impact aligned with company OKRs and product outcomes. 
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Collaborate with vertical leaders to embed ML into user-facing experiences (e.g., personalized discovery, dynamic ranking, ETA prediction, integrity systems). 
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Establish clear success metrics and measurement frameworks for AI-driven initiatives with clear AI impact accounting. 
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Champion a data-driven culture across Careem &mdash; ensuring insights and experimentation inform every product and business decision. 
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</ul><h3 class="jobSectionHeader">5. Cross-Functional Influence</h3>
Represent Data Science leadership in executive and strategic forums, influencing company priorities and investment decisions. 
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Collaborate closely with Engineering Platform, Product Analytics, and Data Platform teams to align on architecture, tooling, and data strategy. 
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<li>Serve as a thought leader for AI innovation across the region and strengthen collaboration with academia and research centers.</li> 
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<h2 class="jobSectionHeader">What you'll need</h2>
10+ years of experience in Data Science, ML, or Applied AI, including 5+ years leading large, high-performing technical teams. 
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Proven record of building and scaling ML systems in production for large-scale consumer platforms (e.g., personalization, recommendation, search, marketplace optimization, fraud detection). 
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Advanced degree in Computer Science, Machine Learning, or related field. 
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Demonstrated ability to translate complex ML concepts into strategic business impact. 
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Strong stakeholder management and communication skills across technical and non-technical domains. 
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<li>Deep passion for product-oriented AI &mdash; using data and ML to create delightful, human-centered experiences.</li></ul> 

<h2 class="jobSectionHeader">
What we&rsquo;ll provide you</h2>

We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:
<ul>
<li>Work and learn from great minds by joining a community of inspiring colleagues.</li>
<li>Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.</li>
<li>Explore new opportunities to learn and grow every day.</li>
<li>Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year.</li>
<li>Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.</li></ul></div></div>

Director of Data Science

Stanford University

Stanford University is one of the world's most renowned universities. Sitting in the heart of the San Francisco Bay Area among the valley's most progressive companies. You will be working with an unparalleled leading edge community of faculty and staff that are fundamentally changing the world of health care. You will have the opportunity to influence and drive change with your innovative ideas, the ability to make a difference, and participate in human advancements. Our culture is fast paced, energetic and growing all of the time. We offer a variety of benefits beyond traditional medical, dental, retirement and savings options:<ul><li>Events and program for children, sports camps, tuition options</li><li>World class intellectual stimulation through learning and development classes, workshops and onsite conferences from leading edge speakers and faculty</li><li>Work/life and family friendly policies and reimbursement</li><li>Participation in Stanford's social responsibility and sustainable programs for a better world</li><li>A vibrant university culture that values the uniqueness of each individual</li></ul>We are seeking candidates who are expert organizers, compliance gurus, and still have a spirit and energy to change the world. About the Position:Stanford University is seeking a Research Technical Manager 1 provide management and coordination of administrative and operations related functions for assigned research area(s) engaged in developing, advancing and applying sciences, engineering and technical research to innovate and deliver solutions in support of organizational goals. Manage staff at least 50% of the time to achieve the research and teaching mission, goals and objectives of the unit. Partner with faculty leadership on departmental affairs. This position is for a Scientific Director will work directly with Prof. William Greenleaf to catalyze RNA medicine program at Stanford. They will coordinate effective and timely communications, track milestones, interface with funders, facilitate annual reviews and Management Group meetings, ensure timely publications, data availability, proper IP management, and support pre-clinical research activities. Also facilitate the transfer of reagents, data, and information among team members. They will work with faculty investigators, and Host Institutions for federal and foundation award. They will work with each Host Institution and Co -Investigators to track budgets and ensure appropriate deployment of resources. Duties include:<ul><li>Provide strategic planning for own work group; participate with senior managers in higher level strategic planning. Communicate operational objectives and assignments and delegate to staff.</li><li>Manage the daily operations of an assigned area(s) which include recruiting, hiring, training, developing evaluating and setting priorities of staff, coordinate business, technical, and educational activities for direct reports.</li><li>Oversee interdepartmental activities, projects and efforts by applying advanced technical and professional knowledge. Serve as the initial managerial escalation point for problems from clients and other staff.</li><li>Manage project budgets, schedules, and resources. Oversee preparation of periodic financial and technical reports and operating plans.</li><li>Interface with clients to determine project requirements. Establish service level agreements with clients.</li><li>Monitor scientific, engineering, and/or technology trends and evaluate emerging technologies to recommend for adoption and implementation.</li><li>Communicate and implement policies, procedures, best practices, recommendations and guidelines compliance with established University administrative policies and procedures.</li></ul> - Other duties may also be assigned. DESIRED QUALIFICATIONS: Ph.D. in Molecular Biology or related field. Five plus year experience in RNA science, program development. EDUCATION & EXPERIENCE (REQUIRED):Bachelor's degree and five years of relevant experience, or combination of education and relevant experience. Advanced degree may be required. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):<ul><li>Experience leading or overseeing the work of technical staff.</li><li>Understanding of relevant scientific, engineering, or technical disciplines.</li><li>Ability to problem solve.</li><li>Ability to synthesize and articulate technical and scientific methodologies, specifications, and information.</li><li>Experience leading scientific, engineering, or technical research projects or programs.</li><li>Knowledge of emerging technologies, trends, methodologies, and resource management principles.</li><li>Ability to work and communicate effectively with others.</li><li>Strong customer relationship and consensus building skills.</li><li>Ability to influence and establish effective working relationships in a diverse environment.</li><li>Ability to resolve issues quickly and make decisions that meet university objectives in a collaborative culture. </li></ul> CERTIFICATIONS & LICENSES:None. PHYSICAL REQUIREMENTS :<ul><li>Frequently sit, grasp lightly, use fine manipulation and perform desk-based computer tasks, lift, carry, push pull objects that weigh to ten pounds.</li><li>Occasionally sit, use a telephone or write by hand.</li><li>Rarely kneel, crawl, climb, twist, bend, stoop, squat, reach or work above shoulders, sort, file paperwork or parts, operate foot and hand controls.</li></ul> - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS:May require extended hours, evenings and weekends. WORK STANDARDS (from JDL):<ul><li>Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.</li><li>Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.</li><li>Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, .</li></ul> The expected pay range for this position is $145,208 to $183,215 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website () provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory for all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.<img src="https://www.jobg8.com/Tracking.aspx?TyfogLXvGD3jsfbFY4gRE5ZLqzJ7c08ev" width="0" height="0" />

Scientific Director

MSRCOSMOS HEALTHCARE STAFFING

GENERAL DUTIES:The NICU Nurse Manager has 24 hour, 7 days per week responsibility and accountability for the day to day coordination of department operations and quality of clinical nursing care of patients in the NICU. The NICU Manager reports directly to the Nursing Director of Women, Infants and Children. Required: <ol><li>Minimum of 5 years of NICU experience, 3 years full-time NICU clinical experience</li><li>Graduate of an accredited school of nursing</li><li>Current California RN license</li><li>Bachelors Science of Nursing (in progress considered with definitive completion date)</li><li>Current American Heart Association BLS Certification (maintain current at all times)</li><li>Current NRP certification (maintain current at all times)</li><li>Certified in Neonatal Intensive Care Nursing from the NCC or other nationally accredited organization (in progress considered with definitive completion date)</li></ol> Skills:<ol><li>Demonstrates clinical competence and leadership skills</li><li>Demonstrates ability to present self in a positive and professional manner</li><li>Demonstrates leadership in management experience and ability to collaborate and report to Nursing Director and Medical Director</li></ol>Preferred:<ol><li>Master's Degree in Nursing</li><li>NRP Instructor Certification</li><li>Critical Care Transport Experience</li></ol><img src="https://www.jobg8.com/Tracking.aspx?EGd8t27MTGk2ECvOoLK9io8Wi9pOZWTxk" width="0" height="0" />

RN Manager - NICU :: Full-time :: Palm Springs, CA

<div>
 Job Title: Senior Data ScientistLocation: [Insert Location or mention Remote]Department: Data Science / AnalyticsReports To: Head of Data Science / Director of AnalyticsJob Summary:We are seeking a highly experienced and strategic Senior Data Scientist to join our team. In this role, you will lead complex data science projects, develop advanced machine learning models, and provide actionable insights that directly impact business decisions. You&rsquo;ll work closely with cross-functional teams including product, engineering, and business stakeholders to drive data-driven strategies and innovation.Key Responsibilities:Lead end-to-end data science projects from problem definition to solution delivery.Design and implement machine learning and statistical models to solve business problems.Analyze large, complex datasets to extract actionable insights and support decision-making.Collaborate with engineering teams to deploy models into production environments.Translate business requirements into data science problems and effectively communicate results to non-technical stakeholders.Mentor and guide junior data scientists, reviewing code and sharing best practices.Continuously evaluate and improve model performance, accuracy, and scalability.Stay updated with the latest research and industry trends in data science and AI.Required Skills and Qualifications:5+ years of experience in data science, machine learning, or applied statistics.Advanced proficiency in Python or R, along with data libraries like Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.Strong SQL skills and experience working with large-scale data (structured &amp; unstructured).Experience deploying ML models in production (e.g., using AWS/GCP, Docker, MLflow, etc.).Solid understanding of statistical modeling, hypothesis testing, A/B testing, and time-series analysis.Strong communication and data storytelling skills.Proven ability to manage multiple projects and stakeholders
</div>

Senior Manager

Anika

<div>
 
 Position Scope:
 
 
 
 The Scientist is responsible for providing support to R&amp;D and Manufacturing teams under the supervision of the Director of R&amp;D. We are seeking a candidate who is energetic and can carry out development projects with minimal supervision. A hands-on scientist that is a problem-solver, who can provide imaginative solutions to issues as they arise.
 
 
 
 Specific Tactical Responsibilities:
 
 
 
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 Design and carry out experiments to investigate Chemical/Material/Biological properties of candidate materials for use in applications in Orthopedics and General Surgery
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 Develop prototypes and processes at the lab-scale.
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 Develop Analytical methods as necessary for product testing and process development.
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 Provide technical support for manufacturing, marketing, and regulatory as needed.
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 Prepare R&amp;D Reports and file Patent Applications for any inventions.
 
 
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 Supervisory Responsibilities:
 
 
 
 None
 
 
 
 Required Qualifications:
 
 
 
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 Ph.D. in Biomaterials Science, Polymer Science, Pharmaceutical Science, Materials Science, Chemistry, or related field.
 
 
 </li>
 </ul>
 
 Desired Experience, Knowledge, and Skills:
 
 
 
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 Experience with Polymer-based Biomaterials.
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 Experience in Formulation of gels and emulsions.
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 Knowledge of Hyaluronic Acid and/or Polysaccharide chemistry.
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 Experience with Formulation of active ingredients in pharmaceutical applications.
 </li>
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 Experience with Chemical Synthesis, Analytical Chemistry methods, Physical/Rheological characterization, or Cell-based Biological assays.
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 Experience with Quality System requirements for Class III Medical Devices.
 </li>
 </ul>
</div>

Scientist I

Cognizant Technology Solutions

<div>Job description: Director of Data Analytics, Generative AI, and Research (20+ years of experience)
Level: Director
Location: Hyderabad
Summary
We are seeking a highly seasoned and visionary Director of Data Analytics with over 20 years of experience to lead our analytics, research, and Generative AI initiatives. The ideal candidate is an established leader with a deep foundation in statistics and quantitative research, and a proven track record of implementing large-scale, enterprise-level data strategies. You will be responsible for defining the future of our data ecosystem, integrating advanced Generative AI and Large Language Models (LLMs) into our core business functions, and driving a culture of data-driven innovation.
Key responsibilities<ul><li>
Strategic leadership and vision: Set the long-term strategic direction for all data analytics, research, and Generative AI efforts, aligning them with overall business objectives and digital transformation goals.</li><li>
Generative AI and LLM implementation: Lead the evaluation, integration, and deployment of Generative AI and Large Language Models to create new business value, enhance decision-making, and automate complex processes.</li><li>
Advanced statistical research: Oversee a team of quantitative researchers and statisticians to conduct deep-level research, leveraging a strong background in statistical modeling, experimental design, and predictive analytics.</li><li>
Team building and mentorship: Recruit, lead, and mentor a high-performing team of data scientists, data engineers, and analysts, fostering a collaborative and growth-oriented environment.</li><li>
Executive communication: Act as a key advisor to C-level leadership and the board, translating complex analytical findings and AI capabilities into clear, actionable business strategies and compelling data stories.</li><li>
Data governance and ethics: Establish and enforce robust data governance policies, ensuring the ethical and responsible use of AI, data privacy compliance (e.g., GDPR, CCPA), and data integrity across the organization.</li><li>
Cross-functional collaboration: Partner with departments such as marketing, product, and engineering to embed a data-first mentality and drive the adoption of analytics and AI tools across the enterprise.</li><li>
Technology oversight: Guide the architectural design and management of the data infrastructure, including data warehouses, data lakes, and modern cloud-based platforms, to support scalable AI and analytics operations.</li><li>
Innovation and staying current: Monitor industry trends and emerging technologies in Generative AI, machine learning, and advanced analytics to ensure the company remains at the forefront of data-driven innovation.
</li></ul>Qualifications<ul><li>
A Master's degree or Ph.D. in Statistics, Mathematics, Operations Research, Computer Science, or a related quantitative field.</li><li>
20+ years of progressive experience in data analytics, data science, and quantitative research, with a minimum of 10 years in a senior leadership or director-level role.</li><li>
Extensive, hands-on experience with Generative AI and Large Language Models, including practical applications and strategic implementation.</li><li>
Deep expertise in statistical analysis, machine learning algorithms, and research methodologies.</li><li>
Proven success in building, leading, and mentoring large data and analytics teams.</li><li>
Comprehensive knowledge of data governance, data privacy, and AI ethics frameworks.</li><li>
Exceptional communication and presentation skills, with the ability to influence senior executives and engage technical and non-technical audiences.</li></ul>
Proficiency in modern data analytics tools and programming languages such as Python, SQL, and experience with cloud platforms (e.g., AWS, Azure, GCP).</div>

AIA - Data Analytics - Director

Wester Consulting Group LLC

<div>
 
 
 Company Description
 
 
 
 
 
 Wester Consulting Group LLC (WCG) is a consulting firm providing services to companies and government entities across federal, international, life science, technology, and humanitarian sectors. The company is incorporated in San Juan, Puerto Rico with Federal Operations in Washington, D.C. The World Global Headquarters is located in Miami, FL. WCG has multiple international branches in locations such as Tel Aviv-Yafo, Israel, Riyadh, Saudi Arabia, London, United Kingdom, Tokyo, Japan, and Santo Domingo, Dominican Republic.
 
 
 
 
 
 
 Role Description
 
 
 
 
 
 This is a contract, on-site role for a Director of People Operations located in Miami, FL. The Director of People Operations will oversee HR policies, manage employee relations, and ensure compliance with labor and employment laws. Daily responsibilities include performance management, developing and implementing HR strategies, and fostering a positive workplace culture.
 
 
 
 
 
 
 Qualifications
 
 
 
 
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 Proficiency in Human Resources (HR) and HR Policies
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 Experience in managing Employee Relations and Performance Management
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 Knowledge of Labor and Employment Law
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 Strong leadership and communication skills
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 Ability to work on-site in Miami, FL
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 Bachelor's degree in Human Resources, Business Administration, or related field
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 Experience in consulting or similar industries is a plus
 </li>
 </ul>
</div>

Director of People Operations

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