data science leader

The Toro Company

<div><div><div><p><b>Job Purpose:</b></p></div><p></p><div><p><br>
We are seeking an experienced and visionary Leader of Cloud and Data Practice to join our team in Pune. This role will be responsible for leading our Cloud Engineering and Architecture team, as well as our Data Science and Data Engineering teams in India. The ideal candidate will be a strong collaborator, working closely with our US team to drive innovation and excellence in our cloud and data initiatives.</p></div><p></p><div><p><b><br>
Job Duties &amp; Responsibilities*:</b></p></div><div><ul><li><p>
Lead and manage the Cloud Engineering and Architecture team, ensuring the successful design, implementation, and maintenance of cloud solutions using Azure.</p></li></ul></div><div><ul><li><p>
Oversee the Data Science and Data Engineering teams, driving the development and deployment of data solutions using technologies such as Snowflake, dbt, Fivetran, Databricks, and Alation.</p></li></ul></div><div><ul><li><p>
Collaborate with cross-functional teams in the US and India to align cloud and data strategies with business objectives.</p></li></ul></div><div><ul><li><p>
Provide technical leadership and mentorship to team members, fostering a culture of continuous learning and improvement.</p></li></ul></div><div><ul><li><p>
Ensure the scalability, reliability, and security of cloud and data solutions.</p></li></ul></div><div><ul><li><p>
Stay up-to-date with industry trends and emerging technologies to drive innovation within the practice.</p></li></ul></div><div><ul><li><p>
Develop and maintain strong relationships with stakeholders, ensuring effective communication and collaboration.</p></li></ul></div></div><div><div><ul><li><p>
Perform other duties and projects as requested.</p></li></ul></div><p></p><div><p><b><br>
Job Qualifications:</b></p></div><div><ul><li><p>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.</p></li></ul></div><div><ul><li><p>
With 12+ years of total experience with at least 5 years in Cloud Engineering and Architecture and 3+ years in DE/DS. Proven experience in leading cloud engineering and architecture teams, with a strong focus on Azure.</p></li></ul></div><div><ul><li><p>
Extensive experience in data engineering and data science, with proficiency in Snowflake, dbt, Fivetran, Databricks, and Alation.</p></li></ul></div><div><ul><li><p>
Strong collaboration and communication skills, with the ability to work effectively with teams across different geographies.</p></li></ul></div><div><ul><li><p>
Demonstrated ability to drive innovation and deliver high-quality solutions in a fast-paced environment.</p></li></ul></div><div><ul><li><p>
Excellent problem-solving and analytical skills.</p></li></ul></div><div><ul><li><p>
Strong leadership and mentorship abilities.</p></li></ul></div></div></div>

Cloud and Data Practice Lead - Toro Technology Center India

Kimberly-Clark

<div><p>You&rsquo;re not the person who will settle for just any role. Neither are we. Because we&rsquo;re out to create Better Care for a Better World, and that takes a certain kind of person and teams who care about making a difference. Here, you&rsquo;ll bring your professional expertise, talent, and drive to building and managing our portfolio of iconic, ground-breaking brands. In this role, you&rsquo;ll help us deliver better care for billions of people around the world. It starts with YOU.</p><p></p><p>
This role will be part of Kimberly Clark's International Family Care and Professional (IFP) business&mdash;an organization rooted in purpose and innovation that has built a legacy with global impact. As Kimberly-Clark forms a strategic partnership with Suzano to create a world-class international tissue and professional products company, this role is proposed to transfer to the new venture once the transaction closes, anticipated in mid-2026, subject to consultation and other applicable legal requirements. This is a rare opportunity to help shape a new global leader backed by two industry powerhouses. You&rsquo;ll be part of a high-potential business that combines Kimberly-Clark&rsquo;s iconic brands and commercial excellence with Suzano&rsquo;s industrial and sustainability leadership.</p><p></p><p><br>
In this role, you will:</p><p>
Lead the design, development, and deployment of advanced analytics and AI solutions that drive business transformation across global markets. You will guide a team of data scientists and collaborate with cross-functional stakeholders to deliver high-impact models and AI products. Your work will span predictive modeling, Generative AI, intelligent agents, and scalable data science pipelines using Databricks, Azure Functions, and Python.</p><ul><li><p>
Lead the end-to-end development of machine learning and AI solutions, from problem framing to deployment and monitoring.</p></li><li><p>
Architect and implement scalable pipelines using Databricks, Azure ML, and Azure Functions.</p></li><li><p>
Drive innovation in Generative AI and AI agent applications using frameworks like LangChain, Semantic Kernel, and Hugging Face Transformers.</p></li><li><p>
Mentor and guide a team of data scientists, fostering a culture of experimentation, learning, and delivery excellence.</p></li><li><p>
Partner with business leaders across RGM, Sales, IME, and Supply Chain to identify opportunities and translate them into data science solutions.</p></li><li><p>
Ensure model governance, reproducibility, and compliance with responsible AI principles.</p></li><li><p>
Contribute to the evolution of enterprise data science strategy and best practices.</p></li></ul><p></p><p><b><br>
About Us</b></p><p>
Huggies&reg;. Kleenex&reg;. Cottonelle&reg;. Scott&reg;. Kotex&reg;. Poise&reg;. Depend&reg;. Kimberly-Clark Professional&reg;. You already know our legendary brands&mdash;and so does the rest of the world. In fact, millions of people use Kimberly-Clark products every day. We know these amazing Kimberly-Clark products wouldn&rsquo;t exist without talented professionals, like you.</p><p>
At Kimberly-Clark, you&rsquo;ll be part of the best team committed to driving innovation, growth and impact. We&rsquo;re founded on more than 150 years of market leadership, and we&rsquo;re always looking for new and better ways to perform &ndash; so there&rsquo;s your open door of opportunity. It&rsquo;s all here for you at Kimberly-Clark.</p><p></p><p><b><br>
Led by Purpose. Driven by You</b></p><p></p><p><b>
About You</b></p><p>
You perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development. You love what you do, especially when the work you do makes a difference. At Kimberly-Clark, we&rsquo;re constantly exploring new ideas on how, when, and where we can best achieve results. When you join our team, you&rsquo;ll experience Flex That Works: flexible work arrangements that empower you to have purposeful time in the office and partner with your leader to make flexibility work for both you and the business.</p><p>
In one of our technical roles, you&rsquo;ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center. To succeed in this role, you will need the following qualifications:</p><p></p><p><br>
Key Qualifications and Experiences:</p><ul><li><p>
Master&rsquo;s or PhD in Data Science, Computer Science, Statistics, or related field.</p></li><li><p>
7+ years of experience in data science roles, including 2+ years in a leadership or mentoring capacity.</p></li><li><p>
Deep expertise in Python and its data science ecosystem (pandas, scikit-learn, PyTorch, etc.).</p></li><li><p>
Proven experience with Databricks, Azure ML, and Azure Functions.</p></li><li><p>
Strong background in machine learning, deep learning, and statistical modeling.</p></li><li><p>
Experience building and deploying Generative AI models and AI agents.</p></li><li><p>
Familiarity with Snowflake, SAP data structures, and enterprise data integration.</p></li><li><p>
Excellent communication and stakeholder engagement skills.</p></li><li><p>
Experience in the CPG, healthcare, or B2B/B2C domains.</p></li><li><p>
Knowledge of MLOps, CI/CD for ML, and model monitoring frameworks.</p></li><li><p>
Exposure to vector databases, RAG pipelines, and multi-agent orchestration tools (e.g., CrewAI, AutoGen).</p></li><li><p>
Understanding of data privacy, ethics, and responsible AI frameworks.</p></li></ul><p></p><p><b><br>
To Be Considered</b><br>
Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role.</p><p></p><p>
In the meantime, please check out the careers website.</p><p></p><p><b>
And finally, the fine print&hellip;.</b></p><p><i>
For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world. We actively seek to build a workforce that reflects the experiences of our consumers. When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law.</i></p><p></p><p><i><br>
The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position.</i></p><p></p><p><i><br>
Employment is subject to verification of pre-screening tests, which may include drug screening, background check, and DMV check.</i></p><p></p><p><i><br>
#LI-Hybrid</i></p>
.</div>

Lead Data Scientist

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

Moniepoint

<div><p><b>Who we are</b></p>
<p>
Moniepoint is Africa's all-in-one financial ecosystem, empowering businesses and their customers with seamless payment, banking, credit, and management tools. In 2023, we processed $182 billion and are Nigeria's largest merchant acquirer.</p>
<p><b>
About the role</b></p>
<p>
We're looking for a strategic and hands-on Head of Data Science (Marketing) to lead our data initiatives in a high-growth environment. This role is pivotal in driving our data strategy, fostering a data-driven culture, and ensuring the robust infrastructure and insights necessary for our continued success as a leading African fintech.</p>
<p>
You'll collaborate with our amazing Marketing team and lead a dedicated data team to help execute our marketing strategy. You'll be responsible for building and improving our current capabilities while shaping the future roadmap. We're looking for a hands-on and data-driven strategic leader who can bring fresh thinking and inspire both the team and our customers.</p>
<p><b>
Your day-to-day</b></p>
<ul>
<li><b>Strategic Leadership:</b> Be a key leader in building a discipline of exceptional data scientists and analysts. Develop and execute a comprehensive data strategy - design what world class looks like</li>
<li><b>Team Building &amp; Management:</b> Hire, develop, and retain a high performing team of data professionals</li>
<li><b>Experimentation:</b> Champion and drive a culture of rigorous experimentation, including A/B testing, to inform product development and business decisions.</li>
<li><b>Data Pipeline Ownership:</b> Oversee the end-to-end ownership, design, development, and maintenance of scalable and reliable data pipelines.</li>
<li><b>Data Insights &amp; Analytics - including model development and productionisation: </b>Drive the generation of actionable insights from data to support various business functions, including product, marketing, risk, and operations. How can we build Marketing Mix Models for better channel attribution modeling? What is our actual channel per channel mCAC? Which customer segments are more/less engaged? What are our customers' share of wallet - how can we use this?</li>
<li><b>Stakeholder Collaboration:</b> Liaise with marketing, product, and engineering managers to ensure we collect the right data for meaningful business insights. Bring data leadership and rigour to our approach to product development. Build a strategic understanding of the business and structure complex projects to bring them to life.</li>
</ul>
<p><b>We would love to hear from you if</b></p>
<ul>
<li>What we're doing here at Moniepoint excites you!</li>
<li>You have proven experience (typically 8+ years overall and +4 years in management / in data leadership roles), with a strong focus on strategy, execution, and team management. You love coaching and make everyone better around</li>
<li>you.</li>
<li>You've expertise in experimentation methodologies and A/B testing frameworks (multivariate, geo-holdouts, etc, variance reduction techniques)</li>
<li>You can create data pipelines (including designing/architecting them - ETL/ELT) - especially using cloud platforms (we use Clickhouse and Bigquery here)</li>
<li>You're confident with data Science tools languages (Python and SQL). You know when to pick the right tool, and can help others do the same</li>
<li>Strong analytical, problem-solving, and communication skills - you can describe the problem, solve it, and relay it back to a wide array of audiences</li>
<li>You love working in marketing and using advertising data from platforms such as Facebook</li></ul><br>
<p></p>
<p><b>
What Moniepoint Can Offer You</b></p>
<ul>
<li>The opportunity to drive financial inclusion and shape the future of the African financial ecosystem</li>
<li>The chance to work on innovative and impactful projects</li>
<li>A dynamic, diverse, and collaborative environment where every team member's voice is recognized and valued</li>
<li>Flexible work arrangements</li>
<li>Continuous learning and career growth opportunities</li>
<li>Competitive salary, individual performance bonuses, and firmwide performance bonus</li>
<li>Company covered health insurance plans</li>
<li>Pension plans</li>
</ul>
<p><b>What to expect in the hiring process</b></p>
<ul>
<li>A preliminary phone call with one of our recruiters</li>
<li>A general interview with the Senior Manager of Marketing Strategy</li>
<li>Take-home task (marketing modelling case study)</li>
<li>A behavioural and technical interview with the head of data science and marketing</li>
</ul>
<p>Moniepoint is an equal-opportunity employer. We believe diversity makes us stronger and are committed to creating an inclusive environment for all employees and candidates.</p></div>

Head of Data Science (Marketing)

Client of Involved Solutions

<p>The Head of Data &amp; AI will define and implement the companies' data and AI roadmap, ensuring data integrity, analytics maturity, and the integration of AI across key business areas. This includes building scalable data platforms, leading data science initiatives, and partnering with technology and business teams to drive value from data.</p><p>You'll lead a cross-functional team covering data engineering, data science, and analytics, with a focus on enabling decision intelligence, predictive modelling, and GenAI applications that enhance customer experience and operational efficiency.</p>

Head of Data & AI

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

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

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