data science leader

Intuit

<div><h2 class="jobSectionHeader">Overview</h2>
Intuit enables millions of small and mid-sized businesses to grow through marketing automation and customer intelligence. As we accelerate toward becoming an AI-driven platform, Product Data Science must evolve to operate at a new level of technical sophistication, scale, and strategic influence. 
We are seeking a Principal Data Science Leader to partner with the leadership team and lead the AI transformation of the Product Data Science organization. This leader will modernize how data science is practiced by advancing modeling capabilities, experimentation rigor, generative AI adoption, and scalable decision systems while driving measurable revenue, growth, and expert network outcomes. 
This role requires a proven track record of building durable data science capabilities and production-grade solutions, not just delivering analyses. The ideal candidate will elevate the craft across the organization, establish higher technical standards, and position data science as a strategic force multiplier for product, growth, and expert performance. 
Responsibilities
Strategic Leadership<ul><li>
Define and lead the multi-year vision for Product Data Science, aligning AI, modeling, and experimentation investments with product strategy and measurable business outcomes.</li><li>
Partner with Data Science leadership to transform the function into an AI-native organization by modernizing tools, workflows, technical standards, and scalable decision systems.</li><li>
Outcome-Driven Product Impact</li><li>
Own revenue and growth accountability for data science-driven initiatives, ensuring modeling, experimentation, and AI investments are directly tied to measurable business outcomes and prioritized for maximum impact.</li><li>
Lead the rapid development and deployment of predictive models, causal inference frameworks, and LLM-enabled solutions, leveraging modern AI tools to accelerate learning velocity and reduce time from insight to decision.</li><li>
Drive a high-speed experimentation culture, balancing rigor with agility, so teams continuously test, learn, and iterate. Translate insights into scalable impact with clear post-launch accountability.</li></ul> 
Expert Optimization<ul><li>
Build and own the data science framework for expert optimization: connecting expert skill signals, product and tool usage patterns, and downstream performance outcomes into a unified model of expert quality and capacity.</li><li>
Develop skill-to-outcome models that link expert proficiency across product domains (tool adoption, workflow adherence, knowledge depth) to measurable service quality metrics, enabling targeted coaching, routing, and capacity decisions.</li><li>
Partner with Expert Network and Operations leadership to translate expert behavioral signals (product usage patterns, interaction telemetry, knowledge assessments) into actionable intelligence. Identify which skills drive quality outcomes, which tool gaps create friction, and how to close both at scale.</li><li>
Design and scale experimentation frameworks to rigorously measure the causal impact of training interventions, tooling changes, and product investments on expert performance outcomes such as resolution quality, customer satisfaction, and proficiency scores.</li><li>
Build expert lifecycle analytics from onboarding through proficiency attainment, identifying acceleration levers and friction points that predict long-term performance and retention.</li><li>
Partner with product teams to close the loop between product and tool design and expert outcomes, surfacing where underutilization or misuse of tooling is suppressing quality and feeding those signals back into roadmap decisions.</li></ul> 
Capability Building and Craft Elevation<ul><li>
Champion and scale durable Product Data Science capabilities by establishing rigorous standards across modeling, experimentation, model governance, and AI-enabled workflows. Raise the technical bar through structured reviews, reusable frameworks, and clear quality benchmarks.</li><li>
Accelerate adoption of modern AI tools, LLMs, and automation to increase productivity, technical depth, and organizational leverage across the Data Science team.</li><li>
Mentor, develop, and retain top data science talent by fostering a culture of ownership, technical excellence, and continuous learning.</li></ul> 
Qualifications<ul><li>
10+ years of experience in Product Data Science with a demonstrated track record of personally building, shipping, and scaling high-impact models and experimentation frameworks that drove measurable revenue and growth outcomes.</li><li>
Proven experience transforming data science practices, establishing modeling standards, experimentation rigor, reusable frameworks, and AI-native workflows across teams.</li><li>
Deep technical expertise in SQL and Python, with strong command of statistical modeling, causal inference, experimentation design, and machine learning at production scale.</li><li>
Hands-on experience applying LLMs and modern AI tooling to accelerate insight generation, modeling workflows, and decision velocity.</li><li>
Demonstrated ability to influence senior cross-functional leaders and drive strategic outcomes without direct authority.</li><li>
Strong mentorship track record, with evidence of elevating senior data scientists and raising the technical bar of an organization.</li><li>
Master's degree or higher in Statistics, Computer Science, Economics, Applied Mathematics, Machine Learning, or a related quantitative field.</li><li>
Deep understanding of growth science, customer lifecycle value, segmentation, and personalization at scale.</li><li>
Experience productionizing AI-driven decision systems in complex product ecosystems.</li><li>
Familiarity with multi-product ecosystems and cross-sell and attach strategies within platform businesses.</li><li>
Experience building behavioral analytics or skill and performance optimization systems in marketplace, gig, or expert network contexts, connecting workforce supply-side signals to customer demand-side outcomes.</li><li>
Prior work with human-in-the-loop AI systems where expert or agent quality is a lever for product performance.</li></ul> 
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:<div>
Bay Area California $ 247,500- 335,000</div><div>
Southern California $ 241,000- 326,500</div></div>

Principal Data Scientist - Expert Optimization, ICS Data Science

Socure

<div><h2 class="jobSectionHeader">Why Socure?</h2>
Socure is building the identity trust infrastructure for the digital economy &mdash; verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won&rsquo;t be your place. If you want to help build the future of identity with a team that holds a high bar for itself &mdash; keep reading.<h2 class="jobSectionHeader">
About the Role</h2>
We are seeking a highly driven and innovative leader to build and scale the next generation of AI-powered identity and compliance solutions. This role will lead the Data Science function across core identity and compliance products, including KYC, International KYC, Global Watchlist, Advanced Prefill, and Identity Graph.
In addition to advancing core modeling capabilities, you will spearhead the development of intelligent, agent-driven systems that automate and optimize identity decisioning, investigation, and compliance workflows. You will define the technical vision and execution strategy for identity at scale, pushing the boundaries of machine learning, graph intelligence, and autonomous systems to solve some of the hardest problems in digital identity and regulatory compliance.
This role requires a leader who sets a high bar for execution, thrives in ambiguity, and consistently translates complex, high-stakes problems into scalable, production-grade systems.<div></div><div> 
</div><h2 class="jobSectionHeader">
What You'll Do</h2><ul><li>
Own and drive the data science vision for Identity &amp; Compliance, delivering measurable improvements in accuracy, coverage, latency, and customer impact across all products in scope.</li><li>
Lead, build, and develop a high-performing team of data scientists and applied researchers, fostering a culture of technical excellence, speed, and accountability.</li><li>
Architect and deploy advanced machine learning systems across identity verification, entity resolution, sanctions screening, and compliance risk modeling.</li><li>
Drive the development of graph-based intelligence, including large-scale graph neural networks (GNNs) and link analysis models to power Identity Graph, fraud detection, and watchlist matching.</li><li>
Lead the design and implementation of agent-based AI systems, enabling automated decisioning, case triage, investigation workflows, and adaptive compliance strategies.</li><li>
Advance state-of-the-art modeling approaches, including deep learning, representation learning, graph learning, and multimodal fusion across structured and unstructured data.</li><li>
Drive innovation in Identity Graph and Prefill systems, improving identity resolution, linking, and enrichment capabilities across global datasets.</li><li>
Partner closely with Product, Engineering, Risk, and Go-to-Market teams to translate business needs into scalable AI solutions that deliver customer value.</li><li>
Own the end-to-end model lifecycle, including data strategy, feature engineering, model development, evaluation, deployment, and monitoring.</li><li>
Ensure alignment with regulatory and compliance requirements, balancing model performance with explainability, auditability, and governance.</li><li>
Continuously raise the bar on experimentation and execution velocity, enabling rapid iteration while maintaining high standards for reliability and impact.</li><li>
Own customer communication and stakeholder management, serving as a trusted technical leader in engagements with customers, partners, and internal stakeholders; clearly articulate model behavior, agentic systems, performance trade-offs, and roadmap decisions while building strong, long-term relationships.</li><li>
Represent Socure externally as a thought leader in identity, compliance, and applied AI.</li></ul><div></div><div> 
</div><h2 class="jobSectionHeader">
What You Bring</h2><ul><li>
Advanced degree (MS/PhD preferred) in Computer Science, Statistics, Mathematics, Engineering, or a related field.</li><li>
10+ years of experience in data science and machine learning, with a strong track record of delivering production-grade AI systems at scale.</li><li>
Significant experience in identity verification, KYC/AML, fraud detection, or risk modeling in fintech or adjacent domains.</li><li>
Proven leadership experience managing and scaling high-performing data science teams.</li><li>
Deep expertise in modern machine learning techniques, including deep learning, graph neural networks, entity resolution, and large-scale data systems.</li><li>
Strong understanding of agentic system design, including agent skills, orchestration/harness frameworks, and real-world deployment of autonomous or human-in-the-loop agents.</li><li>
Strong experience working with heterogeneous data sources, including structured data, text, network/graph data, and third-party identity signals.</li><li>
Demonstrated ability to drive ambiguous, high-impact problems to production, balancing speed, rigor, and business outcomes.</li><li>
Hands-on experience with Apache Spark and large-scale distributed data systems.</li><li>
Proficiency in Python and modern ML frameworks (e.g., PyTorch), and familiarity with graph ML frameworks is a plus.</li><li>
Proven ability to engage with customers and external stakeholders, clearly explaining complex AI systems, trade-offs, and outcomes to both technical and non-technical audiences.</li><li>
Experience representing organizations in customer-facing discussions, executive briefings, or public speaking engagements is strongly preferred.</li></ul><div></div><div> 
</div><h2 class="jobSectionHeader">
What You'll Get</h2><ul><li>
Work on some of the most challenging and impactful problems in identity and fraud prevention</li><li>
Build industry-defining AI systems at the intersection of graph intelligence and autonomous agents</li><li>
Join a fast-moving, high-caliber team that values innovation and ownership</li><li>
Competitive compensation, equity, and benefits</li><li>
Opportunity to shape the future of digital identity at global scale</li></ul>
Please note that we can only hire within ~45 miles of San Francisco, New York, Seattle, Miami, and DC. We are unable to provide sponsorship support now or in the future.
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 
If you need an accommodation during any stage of the application or hiring process&mdash;including interview or onboarding support&mdash;please reach out to your Socure recruiting partner directly. 
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Compensation Range: $250K - $300K</div>

Head of Data Science - Identity & Compliance

Johnson & Johnson

<div>At Johnson &amp; Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com
As guided by Our Credo, Johnson &amp; Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson &amp; Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Job Function:
Data Analytics &amp; Computational Sciences
Job Sub Function:
Data Science
Job Category:
People Leader
All Job Posting Locations:
Cambridge, Massachusetts, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America
Job Description:
About Innovative Medicine
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at https://www.jnj.com/innovative-medicine
Johnson &amp; Johnson Innovative Medicine is recruiting for Director, R&amp;D Data Science &amp; Digital Health, Real-World Evidence (RWE) Advanced Analytics. The Real-world Evidence &amp; Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for an outstanding scientist and leader who provides cross therapeutic area RWE expertise and whose responsibilities include:<ul><li>
Independently lead, manage, and mentor a multidisciplinary team of RWE scientists to influence strategy and execute on the priorities, building a roadmap to deliver the projects from data feasibility, study design and analysis, to final presentation to senior cross-functional leaders.</li><li>
Partner with the Data Science Therapeutic Area leaders to conceptualize, lead, shape and deliver Real World Evidence.</li><li>
Be a hands-on scientific and technical leader, lead a portfolio of RWE projects, and develop best practices and a common suite of tools that enable RWE data scientists to accelerate project delivery.</li><li>
Provide end-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation.</li><li>
Provide scientific leadership in developing and applying Real-World Data (RWD) methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc.</li><li>
Provide thought leadership to generate actionable insights from historical trial data, observational databases, and literature reviews to support regulatory agency interactions.</li><li>
Independently create study protocols, analysis plans, and statistical programming deliverables including analytical dataset, tables and figures</li></ul>
Required qualifications:<ul><li>
A Ph.D. degree in epidemiology or biostatistics</li><li>
Good coding skills using R</li><li>
At least 8 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries</li><li>
At least 5 years of experience as a people manager</li><li>
Extensive hands-on experience with data analysis and statistical methods to mitigate confounding and selection biases</li><li>
Expertise with multiple real-world data sources (EHR, insurance claims, registry data); familiarity with clinical trial data structure</li><li>
Excellent interpersonal, communication and presentation skills</li></ul>
Preferred qualifications:<ul><li>
Expertise in drug development and experience working in a matrixed organization</li><li>
Subject matter knowledge in oncology</li><li>
Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments</li></ul>
Johnson &amp; Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants&rsquo; needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.
#LI-GR
#LI-Hybrid
#JRDDS
#JNJDataScience
#JRD
Required Skills:
Preferred Skills:
Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning
The anticipated base pay range for this position is :
$164,000.00 - $282,900.00
Additional Description for Pay Transparency:
Subject to the terms of their respective plans, employees are eligible to participate in the Company&rsquo;s consolidated retirement plan (pension) and savings plan (401(k)) 
 
This position is eligible to participate in the Company&rsquo;s long-term incentive program. 
 
Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits: 
 
Vacation &ndash;120 hours per calendar year 
 
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado &ndash;48 hours per calendar year; for employees who reside in the State of Washington &ndash;56 hours per calendar year 
 
Holiday pay, including Floating Holidays &ndash;13 days per calendar year 
 
Work, Personal and Family Time - up to 40 hours per calendar year 
 
Parental Leave &ndash; 480 hours within one year of the birth/adoption/foster care of a child 
 
Bereavement Leave &ndash; 240 hours for an immediate family member: 40 hours for an extended family member per calendar year 
 
Caregiver Leave &ndash; 80 hours in a 52-week rolling period10 days 
 
Volunteer Leave &ndash; 32 hours per calendar year 
 
Military Spouse Time-Off &ndash; 80 hours per calendar year 
 
For additional general information on Company benefits, please go to: - https://www.careers.jnj.com/employee-benefits</div>

Director, R&D Data Science & Digital Health, RWE & Advanced Analytics

Alcon SRL Advanced Intelligence Group

Job Title: Director of Data Science &amp; AnalyticsAbout the RoleWe are seeking a highly experienced Director of Data Science &amp; Analytics to lead enterprise-wide data strategy, AI initiatives, and advanced analytics capabilities. This is a senior leadership role where you will shape how data is used to drive business decisions, innovation, and AI-powered transformation across global operations.If you are passionate about building high-performing data teams, scaling machine learning systems, and turning complex datasets into actionable business intelligence&mdash;this role is designed for you.Why This Role is Attractive<ul><li>Strategic leadership role with global impact</li><li>Opportunity to build and lead an advanced AI &amp; data organization</li><li>Work on large-scale machine learning and predictive analytics systems</li><li>High autonomy in shaping data strategy and technology stack</li><li>Executive-level visibility and influence</li></ul>Key Responsibilities<ul><li>Define and execute enterprise data science and analytics strategy</li><li>Lead teams of data scientists, analysts, and ML engineers</li><li>Build and scale machine learning models for prediction, automation, and optimization</li><li>Develop advanced analytics frameworks for business intelligence</li><li>Oversee data architecture, governance, and quality standards</li><li>Collaborate with CTO, engineering, and product leadership teams</li><li>Translate business challenges into data-driven solutions</li><li>Drive AI adoption across business units</li><li>Present insights and strategic recommendations to executive leadership</li></ul>Required Experience &amp; Skills<ul><li>8+ years in Data Science, Analytics, or Machine Learning roles</li><li>3+ years in leadership or director-level positions</li><li>Strong experience with Python, SQL, and ML frameworks (TensorFlow, PyTorch, Scikit-learn)</li><li>Expertise in big data platforms (Spark, Hadoop, cloud data warehouses)</li><li>Proven experience building and deploying ML models at scale</li><li>Strong understanding of data engineering and architecture</li><li>Excellent leadership, communication, and stakeholder management skills</li><li>Experience in enterprise or global-scale organizations preferred</li></ul>What We Offer<ul><li>Competitive executive compensation package</li><li>Performance-based incentives</li><li>Opportunity to lead cutting-edge AI transformation</li><li>International project exposure</li><li>Career growth into executive leadership roles</li></ul>Call to ActionIf you're ready to lead a world-class data science organization and shape the future of AI-driven decision-making, we want to hear from you.Apply now and take the next step in your leadership journey.Pay: RO4,000.000 - RO6,500.000 per monthWork Location: In person

Director of Data Science & Analytics

NCRI

<div>We are seeking a Director of Data Science &amp; AI Enablement to lead the strategy, implementation, and adoption of Artificial Intelligence across the organization. This leadership role will drive innovation and operational excellence by enabling data-driven decision-making, advancing AI capabilities, and delivering hyper-personalized financial services for customers.
The Director will oversee the AI strategy across four key pillars:<ul><li>
AI for Everyone: Improving employee productivity through AI tools</li><li>
AI for Citizen Innovators: Enabling teams to build custom automations</li><li>
AI for Builders: Accelerating engineering through AI-powered development</li><li>
AI for Customers: Delivering AI-powered products and personalized customer experiences</li></ul>
This role leads the Data Science &amp; AI Enablement team, manages the AI model lifecycle, and partners with business and technology leaders to embed AI capabilities across the organization.<h2 class="jobSectionHeader">
Key Responsibilities</h2><h3 class="jobSectionHeader">
AI Strategy &amp; Leadership</h3><ul><li>
Define and execute the enterprise AI strategy aligned with organizational goals.</li><li>
Lead the Data Science &amp; AI Enablement team, ensuring operational reliability of deployed AI and LLM models.</li><li>
Direct the full AI/ML lifecycle including model selection, fine-tuning, prompt engineering, RAG design, benchmarking, and evaluation.</li><li>
Establish and lead the AI Center of Excellence (COE) and AI governance frameworks.</li><li>
Partner with Enterprise Architecture, Cybersecurity, and Technology leadership to ensure compliance, security, and scalability of AI systems.</li></ul><h3 class="jobSectionHeader">
AI Innovation &amp; Business Impact</h3><ul><li>
Identify and deliver AI opportunities across business units to improve productivity, operations, and customer experience.</li><li>
Collaborate with product teams to develop AI-driven products and insights.</li><li>
Build advanced machine learning models leveraging large datasets (transactional, marketing, and behavioral data).</li><li>
Translate complex analytical insights into business strategies and measurable outcomes.</li></ul><h3 class="jobSectionHeader">
Cross-Functional Collaboration</h3><ul><li>
Work with engineering teams to productionize machine learning solutions.</li><li>
Partner with stakeholders across product, marketing, operations, customer support, and technology to solve business challenges with AI.</li><li>
Promote a data-driven culture through internal training, workshops, and thought leadership.</li></ul><h3 class="jobSectionHeader"> 
People Leadership</h3><ul><li>
Lead and mentor a high-performing data science and AI team.</li><li>
Align team goals with organizational strategy and forecast future resourcing needs.</li><li>
Foster professional growth and ensure knowledge sharing across teams.</li><li>
Remove operational blockers and enable teams with the tools and processes needed for success.</li></ul><h2 class="jobSectionHeader"> 
Qualifications</h2><ul><li>
Master&rsquo;s or PhD in Mathematics, Statistics, Computer Science, Actuarial Science, or related field</li><li>
Strong background in machine learning, statistics, probability, and algorithms</li><li>
Experience with Python, Scala, R, SQL and machine learning frameworks such as PyTorch, Keras, Scikit-learn, or SparkML</li><li>
Familiarity with cloud platforms (Google Cloud preferred, AWS, Azure)</li><li>
Experience with data visualization tools (Power BI or similar)</li><li>
Proven leadership experience managing data science or AI teams</li><li>
Experience in financial services, brokerage, or retail banking preferred</li><li>
Strong ability to communicate complex technical concepts to business stakeholders</li></ul></div>

Director/Manager, Data Science & AI Enablement

C-Serv

<div>About Opportunity
We are working with a global networking leader driving a fundamental shift in how businesses manage networks. There AI Core group pioneers&rsquo; platforms across Generative AI, AI Agents, RAG, Knowledge Bases, Data Mining, Anomaly Detection, and LLM fine-tuning &mdash; powering flagship products and enabling entirely new offerings. Innovation isn't just encouraged it's expected.
The Role
As one of our AI ML Engineer&rsquo;s, you'll be a key technical leader and thought leader, shaping our ML strategy and building intelligent, high-performance multi-agent systems that perceive, learn, and act in real time.
What You'll Do<ul><li>
Define and drive the technical vision for ML solutions across products and platforms</li><li>
Own the end-to-end software development lifecycle &mdash; from design and code reviews through to deployment and operations</li><li>
Architect high-performance, scalable microservices, including synchronous and asynchronous web services</li><li>
Build real-time inference pipelines for complex models using Triton, TensorRT, and mixed-precision computing</li><li>
Mentor engineers, set technical direction, and foster a strong team culture</li><li>
Champion engineering excellence, system resilience, and continuous operational improvement</li></ul> 

Requirements 
Required Qualifications<ul><li>
Degree in Computer Science, Mathematics, or a related field</li><li>
5&ndash;10 years of full software development lifecycle experience (design, coding, testing, deployment, and operations)</li><li>
5&ndash;10 years of Python expertise, including advanced features and libraries</li><li>
Strong experience designing RESTful APIs (e.g., FastAPI)</li><li>
Proficiency with Docker, Kubernetes, and CI/CD pipelines</li><li>
3+ years designing and architecting large-scale distributed systems on cloud platforms (AWS, Azure, or GCP)</li><li>
Proven experience as a tech lead or engineering mentor</li></ul>
Preferred Qualifications<ul><li>
MS or PhD in Computer Science or ML</li><li>
Hands-on experience with ML frameworks: PyTorch, SageMaker, Triton, or TensorRT</li><li>
Familiarity with NoSQL and document databases</li><li>
Track record of handling big data, optimising workflows, and improving system performance</li></ul> 
Benefits 
<ul><li>
Health Care Plan (Medical, Dental &amp; Vision)</li><li>
Life Insurance (Basic, Voluntary &amp; AD&amp;D)</li><li>
Paid Time Off (Vacation, Sick &amp; Public Holidays)</li><li>
Family Leave (Maternity, Paternity)</li><li>
Training &amp; Development</li></ul></div>

AI Staff Machine Learning Engineer, General AI, ML & Big Data

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10000 data science leader jobs Near Me

Principal Data Scientist - Expert Optimization, ICS Data Science

Head of Data Science - Identity & Compliance

Director, R&D Data Science & Digital Health, RWE & Advanced Analytics

Director of Data Science & Analytics

Director/Manager, Data Science & AI Enablement

AI Staff Machine Learning Engineer, General AI, ML & Big Data

AI Staff Machine Learning Engineer, General AI, ML & Big Data