director of data science

Careem

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

Director of Data Science

<div><p><b>Line of Service
</b></p>Advisory
<p></p><p><b>Industry/Sector
</b></p>Not Applicable
<p></p><p><b>Specialism
</b></p>Data, Analytics &amp; AI
<p></p><p><b>Management Level
</b></p>Director
<p></p><p><b>Job Description &amp; Summary
</b></p>At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
<br>
<br>
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
<p></p><p>*Why PWC
</p><p>At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us .
</p><p>At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. &quot;
</p><p></p><p>Job Description :
</p><p>As a Director of Data Science &amp; AI, you will lead our initiatives to harness the power of advanced data science methodologies, machine learning, and Generative AI to drive innovation and business transformation. You will play a key role in both pre-sales activities and delivery management, ensuring that solutions not only meet client expectations but also achieve desired business outcomes. Your expertise in cloud environments (AWS, Azure, GCP) and on-premises solutions will be vital as you guide our teams in architecting scalable, high-performance systems.
</p><p></p><p>Responsibilities:
</p><p>Leadership and Strategy:
</p><ul><li>Develop and execute a comprehensive data science and AI strategy that aligns with the organization&rsquo;s business goals.
</li></ul><ul><li>Lead and mentor a high-performing team of data scientists, machine learning engineers, and AI specialists.
</li></ul><p>Pre-Sales Engagement:
</p><ul><li>Collaborate with sales teams during the pre-sales process to articulate the value of data science and AI solutions, tailoring presentations and demonstrations to client needs.
</li></ul><ul><li>Identify opportunities for deploying data science and AI solutions that address client challenges and drive business value, contributing to proposal development and responses to RFPs.
</li></ul><p>Expertise in Data Science and Machine Learning:
</p><ul><li>Oversee the design and implementation of data science applications and machine learning models to solve complex business problems.
</li></ul><ul><li>Advocate for the adoption of advanced analytics capabilities, including supervised and unsupervised learning techniques.
</li></ul><p>Generative AI and Agentic AI:
</p><ul><li>Drive initiatives focusing on Generative AI and agentic AI, exploring innovative use cases that can enhance business processes and customer experiences.
</li></ul><ul><li>Lead efforts to evaluate and integrate emerging AI technologies that maintain a competitive edge.
</li></ul><p>Cloud and On-Premise Solutions:
</p><ul><li>Architect and oversee the deployment of data science solutions that operate seamlessly across cloud platforms (AWS, Azure, GCP) and on-premises infrastructures.
</li></ul><ul><li>Collaborate with IT and engineering teams to ensure the successful implementation and integration of data science solutions while adhering to data governance and security standards.
</li></ul><p>Delivery Management and Excellence:
</p><ul><li>Take ownership of project delivery, ensuring that data science and AI initiatives are implemented on time, within budget, and meet or exceed quality standards.
</li></ul><ul><li>Monitor project progress and client satisfaction, making necessary adjustments to optimize outcomes.
</li></ul><p>Talent Development and Team Management:
</p><ul><li>Mentor and coach team members to foster professional growth, promote continuous learning, and encourage a culture of innovation and collaboration.
</li></ul><ul><li>Drive recruitment efforts, attracting diverse talent to enhance the capabilities of the data science and AI team.
</li></ul><p>Performance Measurement and Reporting:
</p><ul><li>Prepare and present regular project and performance reports to executive leadership, detailing progress, resource allocation, and direction for future initiatives.
</li></ul><p></p><p>Mandatory Skill Sets:
</p><ul><li>Proven expertise in Data Science and Machine Learning.
</li></ul><ul><li>Strong knowledge of Generative AI and agentic AI techniques.
</li></ul><ul><li>Proficient in cloud platforms (AWS, Azure, GCP) and on-premises data solutions.
</li></ul><ul><li>Experience in pre-sales activities, including proposal development and client presentations.
</li></ul><p>Preferred Skill Sets:
</p><ul><li>Familiarity with big data technologies (e.g., Hadoop, Spark).
</li></ul><ul><li>Prior experience in delivering scalable machine learning models and solutions.
</li></ul><p>Years of Experience Required:
</p><p>14+ years in data science, machine learning, and AI, with a significant portion in a leadership role that includes pre-sales and delivery management.
</p><p>Education Qualification:
</p><p>Master&rsquo;s degree or postgraduate degree in Data Science. An engineering background is preferred
</p><p></p><p><b>Education </b><i>(if blank, degree and/or field of study not specified)
</i></p>Degrees/Field of Study required: Master Degree
<p></p>Degrees/Field of Study preferred:
<p></p><p><b>Certifications </b><i>(if blank, certifications not specified)
</i></p><p></p><p><b>Required Skills
</b></p>Data science and analytics
<p></p><p><b>Optional Skills
</b></p>Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy {+ 36 more}
<p></p><p><b>Desired Languages </b><i>(If blank, desired languages not specified)
</i></p><p></p><p><b>Travel Requirements
</b></p><p></p><p><b>Available for Work Visa Sponsorship?
</b></p><p></p><p><b>Government Clearance Required?
</b></p><p></p><p><b>Job Posting End Date</b></p></div><p></p>

IN-Director_Data Scientist + Gen AI_D&A_Advisory_Bangalore

Infoblox

<div><div><div><p>At Infoblox, every breakthrough begins with a bold <b>&ldquo;what if.&rdquo;
</b><br>
<b>What if </b>your ideas could ignite global innovation?
<br>
<b>What if </b>your curiosity could redefine the future?
</p></div><div><p>We invite you to step into the next exciting chapter of <b>your </b>career journey. Bring your creativity, drive, your daring spirit, and feel what it&rsquo;s like to thrive on a team big enough to make an impact, yet small enough to make a difference. Our cloud-first networking and security solutions already protect <b>70% of the Fortune 500 </b>, and we&rsquo;re looking for creative thinkers ready to push that influence even further. Join us and discover how far your bold &ldquo;what if&rdquo; can take the world, your community, and your career.
</p></div><div><p>How we empower our people is extraordinary: we&rsquo;re recognized as a <b>Glassdoor Best Place to Work 2025, Great Place to Work-Certified in five countries, and honored by Cigna as a Healthy Workforce honors for three consecutive years </b>; and what we build is world class: named <b>CybersecAsia&rsquo;s Best in Critical Infrastructure 2024 </b>&mdash; clear evidence that when first-class technology meets empowered talent, remarkable careers take shape. So, what if the next big idea, and the next great career story, comes from you? <b>Become the force that turns every &ldquo;what if&rdquo; into &ldquo;what&rsquo;s next.&rdquo;
</b></p></div><div><p>In a world where you can be anything, <b>Be Infoblox </b>.<br>
</p></div><p></p><div><p><b>Senior Director, Data Science
</b></p></div><div><p>We have an opportunity for a visionary Senior Director of Data Science to lead our enterprise-wide AI and data science strategy, with a strong focus on generative AI and large language models (LLMs). Reporting VP, Data &amp; AI, this senior-level role will collaborate closely with engineers, product managers and oversee geo-disbursed data science teams, drive innovation across product lines, and partner with senior leadership to embed AI into the core of our networking and cybersecurity solutions. The ideal candidate excels at managing remote, senior-level data scientists and fostering a high-performing distributed team culture. You will be instrumental in shaping the future of AI at our company, fostering a culture of excellence, experimentation, and impact.<br>
</p></div><p></p><div><p><b>Be a Contributor - What You'll Do
</b></p></div><div><ul><li>Drive the strategic roadmap for AI, ML, and generative AI initiatives across the organization. Focus on high-impact opportunities that align with business goals and deliver measurable value
</li><li>Cultivate and lead high-performing, remote-first data science teams. Promote collaboration, innovation, and continuous learning across distributed environments
</li><li>Design and implement advanced AI solutions using LLMs (e.g., GPT, Claude, Gemini) to enhance automation, threat detection, and predictive analytics
</li><li>Ensure robust, secure, and scalable deployment of AI models across cloud platforms (AWS, Azure, GCP) using modern MLOps practices
</li><li>Partner with Product, Engineering, Security, and Business teams to integrate AI into products and workflows, solving real-world challenges
</li><li>Engage with external AI communities, academic institutions, and industry leaders to position the company at the forefront of innovation
</li>Implement governance frameworks that ensure ethical AI development, including bias mitigation, transparency, and regulatory compliance<br>
<li>
</li></ul></div><p></p><div><p><b>Be Prepared - What You'll Bring
</b></p></div><div><ul><li>Over 10 years of experience in data science, AI, or related fields, including 5+ years in senior leadership roles. A proven ability to scale teams and deliver enterprise AI solutions, with a strong track record of managing remote senior-level data scientists
</li><li>Deep technical expertise in Python, ML frameworks, big data technologies (Spark, Kafka), and cloud-native AI deployment. Strong proficiency in LLMs, NLP, and neural networks
</li><li>Ability to translate complex business needs into actionable AI strategies. Experience leading transformation initiatives through data-driven decision-making and innovation
</li><li>Experience deploying models in cloud environments using MLOps tools (MLflow, Kubeflow, CI/CD pipelines), and managing containerized workflows with Docker and Kubernetes
</li><li>Domain knowledge in networking, cybersecurity, and cloud infrastructure. Insights from experience in threat intelligence or secure networking
</li><li>Bachelor's degree in Computer Science, Data Science, or a related field, with a preference for candidates with a Master's or Ph.D.
</li><li>Clear communication of technical concepts to executive stakeholders and the ability to influence strategic decisions across the organization
</li>A track record of delivering innovative AI solutions from concept to production, consistently achieving measurable business impact<br>
<li>
</li></ul></div><p></p><div><p><b>Be successful &ndash; Your Path
</b></p></div></div><div><div><p><b>First 90 Days
</b></p></div><div><p>Immerse yourself in our culture, connect with mentors (Blox Buddies), map the systems, and meet with key stakeholders who rely on your work. Collaboratively define short- and long-term goals to align with business priorities and team capabilities.
</p></div><div><p><b>Six Months
</b></p></div><div><p>Deliver initial AI-driven features or models into production, establish strong cross-functional partnerships, and demonstrate early strategic impact through measurable outcomes.
</p></div><div><p><b>One Year
</b></p></div><div><p>Scale AI capabilities across the organization, integrate generative AI and LLM-powered innovations into our offerings, and build a high-performing, remote-first data science team recognized for excellence and innovation.<br>
</p></div><p></p><div><p><b>Belong&mdash; </b><b>Your Community
</b></p></div><div><p>Our culture thrives on inclusion, rewarding the bold ideas, curiosity, and creativity that move us forward. In a community where every voice counts, continuous learning is the norm. So, whether you code, create, sell, or care for customers, you&rsquo;ll grow and belong here.<br>
</p></div><p></p><div><p><b>Be Rewarded &mdash; </b><b>Benefits That Help You Grow, Thrive, Belong
</b></p></div><div><ul><li>Comprehensive health coverage, generous PTO, and flexible work options
</li><li>Learning opportunities, career-mobility programs, and leadership workshops
</li><li>Sixteen paid volunteer hours each year, global employee resource groups, and a &ldquo;No Jerks&rdquo; policy that keeps collaboration healthy
</li><li>Modern offices with EV charging, healthy snacks (and the occasional cupcake), plus hackathons, game nights, and culture celebrations
</li><li>Charitable Giving Program supported by Company Match
</li>We practice pay transparency and reward performance. Offers reflect role location, internal equity, experience, skills, education, and certifications. Base salary for this position: $234,700.00 - $365,310.00<br>
<li>
</li></ul></div><p></p><div><p>Ready to <b>Be the Difference?<br>
</b></p></div><p></p><div><p><i>Infoblox is an Affirmative Action and Equal Opportunity Employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis<br>
</i></p></div><p></p><div><p>#LI-EC1
</p></div><div><p>#LI-Hybrid</p></div></div></div>

Senior Director, Data Science

BridgeBio

<div><div><h3 class="jobSectionHeader"><b>Mavericks Wanted</b></h3><br>
<p>
When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on<br>
<br>
In 2015, we pioneered a &ldquo;moneyball for biotech&rdquo; approach, pooling projects and promising early-stage research from academia together under one financial umbrella to reduce risk and unleash innovation. This model allows science and small teams of experts to lead the way. We build bridges to groundbreaking advancements in rare disease, and develop life-changing medicines for patients with unmet needs as fast as humanly possible.<br>
<br>
Together we define white space, push boundaries and empower people to solve problems. If you're someone who defies convention, join us and work alongside some of the most respected minds in the industry. Together, we'll ask &quot;why not?&quot; and help reengineer the future of biopharma.</p>
<h3 class="jobSectionHeader"><b>
What You'll Do</b></h3>
<p>
Maverick wanted! We&rsquo;re seeking a Sr. Director, Data Science, Patient Identification who thrives at the frontier of machine learning/statistical modelling, healthcare data, and translational analytics. You&rsquo;ll develop approaches and models (AI/ML/traditional statistics) that find patients, detect disease patterns that are indicative of an undiagnosed rare disease, shape data strategies, and feed targeting engines that directly change patients' and families' lives. In this role, you&rsquo;ll shape and lead data-driven strategies to uncover undiagnosed patients, accelerate diagnosis, and drive smarter decisions across our rare disease portfolio. If you&rsquo;re passionate about using data science to drive tangible patient outcomes, this is where you belong.</p>
<h3 class="jobSectionHeader"><b>
Responsibilities</b></h3>
<p><b>
Strategic Data Science Leadership</b></p>
<ul>
<li>Spearhead a high-performing data science function focused on patient identification and provider targeting</li>
<li>Identify, source, and integrate (tokenized) data assets in the pursuit of finding rare disease patients and treating HCPs across the portfolio for BrigeBio companies. Define the vision, priorities, and key success metrics for data science initiatives across multiple rare disease programs</li>
<li>Architect scalable analytical solutions using RWD (claims, EHR, genomics, lab data, imaging, and registry sources)</li>
<li>Define the roadmap for AI/ML innovation, balancing cutting-edge research with production-grade reliability</li>
<li>Build and foster a collaborative, mission-driven culture grounded in an enterprise perspective (use of data and data science work across the organization), precision, urgency, and patient impact</li>
</ul>
<p><b>Advanced Analytics &amp; Machine Learning</b></p>
<ul>
<li>Design predictive models, algorithms, and patient finding tools using real-world data (claims, EMR, lab/genomics). Apply NLP and LLM techniques to extract phenotypic signals from unstructured EMR data</li>
<li>Pioneer new methodologies in AI/ML for patient identification, leveraging subtle clinical and diagnostic patterns. Design and execute experiments with different approaches to patient finding</li>
<li>Build frameworks for model monitoring, retraining, and performance evaluation in real-world deployment environments</li>
<li>Design and deploy supervised and unsupervised models for patient finding, diagnostic acceleration, and disease progression prediction. Translate complex insights into actionable strategies for field execution, engagement planning, and clinical partnerships</li>
</ul>
<p><b>Data Strategy &amp; Infrastructure</b></p>
<ul>
<li>Drive the development of robust data pipelines, governance frameworks, and scalable model-serving infrastructure</li>
<li>Evaluate and integrate third-party data (claims, genomics, HCP, diagnostic lab feeds) to enhance model accuracy and reach</li>
<li>Partner with outside vendors and internal resources to operationalize analytics solutions across BridgeBio&rsquo;s portfolio</li>
<li>Champion best practices in reproducibility, version control, and MLOps</li>
</ul>
<p><b>Cross-Functional Collaboration</b></p>
<ul>
<li>Partner with Commercial, Medical Affairs, and Computational Genomics teams to integrate analytic insights into decision-making</li>
<li>Engage with KOLs and data partners to identify early clinical signals that inform algorithmic models</li>
</ul>
<p><b>Operational Excellence</b></p>
<ul>
<li>Establish program-level KPIs, dashboards, and reporting frameworks to track performance and continuously improve model accuracy</li>
<li>Ensure compliance with HIPAA, privacy, and ethical data governance standards</li>
<li>Manage external vendors and partnerships to expand analytic capabilities and accelerate delivery</li>
</ul><h3 class="jobSectionHeader"><b>Where You'll Work</b></h3>
<p>
3x per week in our San Francisco Office/Palo Alto Office.</p>
<h3 class="jobSectionHeader"><b>
Who You Are</b></h3>
<p><b>
Required</b></p>
<ul>
<li>10+ years of experience in data science or analytics within biotech/pharma; 3+ years in a leadership role</li>
<li>Proven expertise in real-world data (RWD) analytics, patient identification, and segmentation across multiple therapeutic areas. Experience with large-scale real-world data (claims, EMR/EHR, lab/genomics, registry, or wearable data)</li>
<li>Experience developing and deploying sophisticated ML/statistical models using large-scale health data. Deep expertise in building predictive and classification models using Python, R, SQL, TensorFlow, PyTorch, or equivalent tools. Strong understanding of feature engineering, model explainability, and ML pipeline automation</li>
<li>Proven success translating analytics into actionable strategies that drive measurable patient or business outcomes</li>
<li>Bachelor&rsquo;s degree in data science, computer science, statistics, or a related quantitative field</li>
<li>Experience in rare disease analytics or patient-finding programs that supported commercial launches or diagnostic initiatives</li>
</ul>
<p><b>Preferred</b></p>
<ul>
<li>Advanced degree (PhD, MS, MPH) in data science, biostatistics, computer science, or related field</li>
<li>Familiarity with generative AI, LLMs, or graph-based learning applied to healthcare or biomedical data</li>
</ul><h3 class="jobSectionHeader"><b>Rewarding Those Who Make the Mission Possible</b></h3>
<p>
We have high expectations for our team members. We make sure those working hard for patients are rewarded and cared for in return.</p>
<p><b>
Financial Benefits:</b></p>
<ul>
<li>Market leading compensation</li>
<li>401K with 100% employer match on first 3% &amp; 50% on the next 2%</li>
<li>Employee stock purchase program</li>
<li>Pre-tax commuter benefits</li>
<li>Referral program with $2,500 award for hired referrals</li>
</ul>
<p><b>Health &amp; Wellbeing:</b></p>
<ul>
<li>Comprehensive health care with 100% premiums covered - no cost to you and dependents</li>
<li>Mental health support via Spring Health (6 therapy sessions &amp; 6 coaching sessions)</li>
<li>Hybrid work model - employees have the autonomy in where and how they do their work</li>
<li>Unlimited flexible paid time off - take the time that you need</li>
<li>Paid parental leave - 4 months for birthing parents &amp; 2 months for non-birthing parents</li>
<li>Flex spending accounts &amp; company-provided group term life &amp; disability</li>
<li>Subsidized lunch via Forkable on days worked from our office</li>
</ul>
<p><b>Skill Development &amp; Career Paths:</b></p>
<ul>
<li>People are part of our growth and success story - from discovery to active drug trials and FDA pipelines, there are endless opportunities for skill development and internal mobility</li>
<li>We provide career pathing through regular feedback, continuous education and professional development programs via LinkedIn Learning, LifeLabs, Spring Health &amp; BetterUp Coaching</li>
<li>We celebrate strong performance with financial rewards, peer-to-peer recognition, and growth opportunities</li>
</ul></div><div><div><div><div><div><div>At BridgeBio, we strive to provide a market-competitive total rewards package, including base pay, an annual performance bonus, company equity, and generous health benefits. Below is the anticipated salary range for candidates for this role who will work in California. The final salary offered to a successful candidate will depend on several factors that may include but are not limited to the type and length of experience within the job, type, and length of experience within the industry, educational background, location of residence and performance during the interview process. BridgeBio is a multi-state employer, and this salary range may not reflect positions based in other states.</div>
</div></div></div><p>
Salary</p><p>
$260,000 - $300,000 USD</p></div></div></div>

Sr. Director, Data Science, Patient Identification

Client of Involved Solutions

We have partnered with a Tier-1 Fintech organisation in the UAE to appoint a Head of Data Science. This strategic leadership role will oversee the growth of the data science function and embed AI/ML capabilities across the business. <br> <br><b>About the role:</b><p></p> <ul> <li>Lead and scale a high-performing data science team across multiple fintech domains.</li> <li>Define and deliver the data science strategy in alignment with business goals.</li> <li>Oversee the development of AI/ML models in fraud detection, credit scoring, and customer personalisation.</li> <li>Partner with C-suite stakeholders to ensure AI is embedded into product design and decision-making.</li> <li>Build strong governance, ensuring compliance with data privacy and regulatory standards.</li> </ul> <p> <br><b>About you:</b></p> <ul> <li>PhD or Masters in Computer Science, AI, or a quantitative discipline.</li> <li>12+ years of experience, with at least 5 in leadership roles within data/AI.</li> <li>Track record of delivering large-scale AI initiatives in fintech or financial services.</li> <li>Strong leadership and people management skills, with experience scaling data teams.</li> <li>Deep understanding of AI/ML frameworks, cloud platforms, and modern data architectures.</li> </ul>

Head of Data Science

Talabat

<p>Define and execute a comprehensive data science strategy aligned with organizational goals</p><p>Lead cross-functional teams to design innovative, data-driven solutions for growth and efficiency</p><p>Establish frameworks for A/B testing, multi-armed bandits, and quasi-experimental methods</p><p>Ensure statistical rigor and best practices in experimentation and causality analysis</p><p>Translate business challenges into analytical solutions and present insights to senior leadership</p><p>Provide strategic leadership, aligning data science efforts with business priorities</p><p>Identify emerging data trends and integrate them into company practices</p><p>Collaborate with executives, product managers, and engineers to influence data-driven decisions</p><p>Manage team resources, budgets, and project prioritization effectively</p><p>Mentor and develop managers, fostering a high-performance culture</p><p>Recruit and retain top talent while building career paths and training programs</p><p>Lead organizational change management for new technologies and processes</p>

Growth Data Science Director

Optum

<div><p>Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start <b>Caring. Connecting. Growing together.</b></p><p></p><p><b><br>
Primary Responsibilities:</b></p><ul><li>
AI/ML Strategy &amp; Implementation: Develop and execute a cutting-edge AI/ML strategy specifically tailored to enhance healthcare claims processing, improve operational efficiency, and reduce costs. Lead the end-to-end implementation of AI/ML solutions, from ideation and model development to deployment and ongoing optimization</li><li>
Healthcare Claims Domain Expertise: Leverage deep knowledge of the healthcare claims lifecycle, including claims processing, adjudication, encounters, appeals and grievances and operations. Apply this domain expertise to identify opportunities for data science and AI to solve critical business problems within this space</li><li>
Strategic Leadership &amp; Vision: Define and communicate a clear vision for how data science and AI will transform claims processing and operations. Drive innovation by identifying and championing new analytical approaches and technologies that can provide a competitive advantage</li><li>
Team Leadership &amp; Development: Build, mentor, and manage a high-performing team of data scientists, ML engineers, and data analysts specializing in healthcare claims data. Foster a culture of continuous learning, experimentation, and best practices in AI/ML development and deployment</li><li>
Cross-Functional Collaboration: Partner closely with Claims Operations, IT, Finance, and other key stakeholders to understand business needs, translate them into data science problems, and deliver impactful solutions. Effectively communicate complex AI/ML concepts and results to both technical and non-technical audiences, including executive leadership</li><li>
Data Management &amp; Governance: Oversee the acquisition, cleaning, and management of complex healthcare claims datasets. Ensure data quality, integrity, and compliance with relevant regulations (e.g., HIPAA)</li><li>
Performance Monitoring &amp; Optimization: Establish key performance indicators (KPIs) for AI/ML models and data science initiatives related to claims processing. Continuously monitor model performance, identify areas for improvement, and implement strategies for ongoing optimization</li><li>
Enterprise Strategic Leadership Focus<ul><li>
Develop and execute org-wide AI/ML strategy, Data strategy aligned with company business goals, Roadmap, and technology transformation</li><li>
Lead enterprise AI/ML strategy for HealthCare analytics, claims automation, and operational excellence</li><li>
Collaborate across functions-product, technology, operations, regulatory, executive leadership - to convert strategic priorities into scalable initiatives</li></ul></li><li>
Technical Innovation &amp; Delivery Focus<ul><li>
Lead design, development, and hands-on implementation of advanced AI/ML solutions, including LLMs, Agentic AI, MCP, Generative AI, multimodal models, and predictive analytics, for real-world healthcare applications</li><li>
Oversee enterprise-scale ML infrastructure, MLOps pipelines, and cloud integrations (AWS/Azure/GCP)</li><li>
Present outcomes, roadmaps, and technical vision to board and senior leadership, shaping strategic direction through data and impact stories</li><li>
Proven delivery of scalable, production-quality AI systems with measurable business value</li><li>
Deep technical proficiency in ML frameworks, Python, cloud platforms, and responsible AI practices</li><li>
Exceptional communication and stakeholder management skills for both executive and technical audiences</li></ul></li><li>
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so</li></ul><p><b>
Required Qualifications:</b></p><ul><li>
Master's in a quantitative field such as Statistics, Computer Science, Mathematics, Data Science or a related discipline. Prior solid understanding of healthcare operations is a plus.</li><li>
Experience:<ul><li>
18+ years of progressive experience in data science, with a significant focus on AI and Machine Learning.</li><li>
5+ years of experience in a leadership role, managing and mentoring data science or AI/ML teams.</li><li>
Demonstrated success in developing and implementing AI/ML solutions (including Gen AI, Agentic AI, MCP, A2A) that have delivered measurable business value, preferably within the healthcare industry</li></ul></li><li>
Technical Skills:<ul><li>
Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) for building and deploying AI/ML solutions</li><li>
Expertise in a broad range of AI/ML techniques, including supervised and unsupervised learning, deep learning, natural language processing (NLP), and time-series analysis, etc., preferably with a focus on their application to claims data</li><li>
Proficiency in programming languages and tools like Python or R, Agentic AI, Model Context Protocol (MCP), Agent to Agent Protocol (A2A) and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras, XGBoost)</li><li>
Familiarity with data warehousing, ETL processes, and database management (SQL)</li><li>
Understanding of MLOps principles and tools for model deployment and lifecycle management</li></ul></li></ul><p></p><p><b><br>
Leadership &amp; Soft Skills:</b></p><ul><li>
Exceptional leadership, strategic thinking, and people management skills, with the ability to build and inspire high-performing teams.</li><li>
Solid ability to translate complex business challenges in healthcare claims processing into actionable data science and AI solutions.</li><li>
Excellent communication, presentation, and stakeholder management skills, with the ability to influence and gain buy-in from executive leadership and cross-functional teams.</li><li>
Deep understanding of data governance, privacy, and security in the healthcare context (e.g., HIPAA compliance).</li><li>
Proactive, results-oriented, and a passion for driving innovation in the healthcare domain.</li></ul><p></p><p><b><br>
Preferred Qualification:</b></p><ul><li>
Deep expertise in the healthcare claims domain, including a thorough understanding of claims processing, operations, medical billing, coding, and related regulatory frameworks</li><li>
Proven track record of leveraging healthcare claims data (e.g., X12, HIPAA 837/835) for analysis and model development</li></ul><p></p><p><i><br>
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.</i></p></div>

Senior Director Data Science

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