lead data scientist

Hays

<div>
 <p>
  <strong>
   Location:
  </strong>
  Abu Dhabi, United Arab Emirates
 </p>
 <p>
  <strong>
   Industry:
  </strong>
  Quantitative Research
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a highly motivated and experienced
  <strong>
   Lead Data Scientist
  </strong>
  to head our data science team in Abu Dhabi.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  As Lead Data Scientist, you will be responsible for defining and implementing advanced data science solutions, leading a team of 10 professionals. This role requires strong technical expertise, strategic leadership, and hands-on involvement in developing machine learning architectures and models.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Provide technical leadership to a team of data scientists and machine learning engineers.
  </li>
  <li>
   Design and implement data solutions for applications in BFSI, quantitative research, and asset management.
  </li>
  <li>
   Develop and optimize ML models, including LLMs and NLP pipelines, in multi-GPU environments.
  </li>
  <li>
   Define scalable and robust architectures for data processing and predictive modeling.
  </li>
  <li>
   Act as the team&rsquo;s technical reference, promoting best practices and continuous innovation.
  </li>
  <li>
   Communicate technical insights clearly to both technical and non-technical stakeholders.
  </li>
  <li>
   Collaborate with cross-functional teams to integrate data capabilities into products and workflows.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We&rsquo;re Looking For:
  </strong>
 </p>
 <ul>
  <li>
   7+ years of experience in applied data science within BFSI, quantitative research, or asset management.
  </li>
  <li>
   Proven experience in technical leadership and team management.
  </li>
  <li>
   Strong expertise in Machine Learning, LLMs, NLP, and foundational models.
  </li>
  <li>
   Hands-on experience with Python, TensorFlow, PyTorch, Scikit-learn, among others.
  </li>
  <li>
   Ability to work hands-on in complex technical environments.
  </li>
  <li>
   Excellent communication skills in English (written and verbal).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Academic Background:
  </strong>
 </p>
 <ul>
  <li>
   Master&rsquo;s or PhD in relevant fields, preferably from top-tier universities (Ivy League, Oxbridge, ETH, etc.)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We Offer:
  </strong>
 </p>
 <ul>
  <li>
   Competitive, tax-free salary.
  </li>
  <li>
   Visa sponsorship (if needed).
  </li>
  <li>
   Health insurance for you and your family.
  </li>
  <li>
   Annual return ticket to your home country.
  </li>
 </ul>
 <p>
 </p>
</div>


Lead Data Scientist

Exact Sciences

<div><p><b>Help us change lives</b></p><p>
At Exact Sciences, we&rsquo;re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you&rsquo;re working to help others.</p><p></p><p><b>
Position Overview</b></p><p>
The Lead Data Scientist will drive operational excellence and strategic decision-making through advanced analytics, machine learning, and engineering. The individual in this role will lead through design, development, and deployment of data and machine learning-driven solutions to business problems. In this role, the Lead Data Scientist will work at the nexus of business priorities - patient insights, healthcare analytics, and operational efficiency applying data science techniques to optimize operations and enhance outcomes across our mission-driven initiatives.</p><p></p><p><b>
Essential Duties</b></p><p>
Include, but are not limited to, the following:</p><ul><li>
Apply machine learning, deep learning, and artificial intelligence techniques to uncover patient behavioral insights, improve healthcare delivery, and drive financial sustainability.</li><li>
Analyze patient and healthcare datasets to identify trends, optimize interventions, and align services with evolving patient needs.</li><li>
Mentor and coach junior data science staff.</li><li>
Lead and coordinate data science projects from inception to production deployment.</li><li>
Lead team to solve complex problems using sophisticated analytical thought to identify and implement innovative solutions.</li><li>
Influence product teams through presentation of data-based recommendations.</li><li>
Work with stakeholders to identify, refine, prioritize, and formalize requirements for machine learning-based solutions to business problems.</li><li>
Act as resource and subject matter expert in core team and/or cross-functional meetings.</li><li>
Ability to communicate complex results to technical and non-technical audiences.</li><li>
Ability to work with minimal supervision.</li><li>
Ability to work in a highly collaborative environment.</li><li>
Excellent verbal and written communication skills.</li><li>
Informally lead staff; responsibilities include, but are not limited to, organizing and prioritizing work, training/developing, and providing feedback on work performance.</li><li>
Communicate goals clearly to employees to ensure understanding and success in achieving them.</li><li>
Motivate and inspire employees to do their best work through coaching.</li><li>
Maintain morale and support employee engagement initiatives.</li><li>
Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.</li><li>
Support and comply with the company&rsquo;s Quality Management System policies and procedures.</li><li>
Maintain regular and reliable attendance.</li><li>
Ability to act with an inclusion mindset and model these behaviors for the organization.</li><li>
Ability to lift up to 10 pounds for approximately 5% of a typical working day.</li><li>
Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 80% of a typical working day.</li><li>
Ability and means to travel between Madison locations.</li><li>
Ability to travel 5% of working time away from work location. May include overnight/weekend travel.</li></ul><p></p><p><b>
Minimum Qualifications</b></p><ul><li>
Bachelor&rsquo;s degree in computer science, data science, information technology, or related field; or High School Diploma or General Education Degree (GED) and 4 years of relevant experience in lieu of Bachelor&rsquo;s degree; or Associate&rsquo;s degree and 2 years of relevant experience.</li><li>
6+ years of experience in a data scientist role.</li><li>
6+ years of experience working with large datasets for drawing business insights.</li><li>
6+ years of experience with artificial intelligence and machine learning algorithms.</li><li>
4+ years of demonstrated experience working with cloud computing and cloud engineering.</li><li>
4+ years of demonstrated experience working with SQL in an analytics capacity.</li><li>
2+ years of experience developing data science pipelines with CI/CD build processes.</li><li>
2+ years of experience training and developing junior staff.</li><li>
Professional working knowledge of statistics and modeling techniques.</li><li>
Professional working knowledge of open-source AI models.</li><li>
Proficient in Python and/or R.</li><li>
Demonstrated experience and mastery of machine learning.</li><li>
Demonstrated ability and history of learning new technologies.</li><li>
Demonstrated ability to perform the essential duties of the position with or without accommodation.</li><li>
Legal authorization to work in the country of employment without current or future sponsorship.</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Master&rsquo;s degree in science, technology, engineering, mathematics, or related field.</li><li>
Professional working knowledge of Natural Language Processing, Information Retrieval, or Recommender Systems.</li><li>
Professional working knowledge of distributed computing and big data technologies, such as Spark or related technologies.</li></ul>
#LI-TA21<p></p><p>
Salary Range:</p>
$121,000.00 - $206,000.00<br>
<p></p>
The annual base salary shown is for this position located in US - WI - Madison on a full-time basis. In addition, this position is bonus eligible.<p></p><p>
Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.</p><p></p><p>
Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.</p><p></p><p>
Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.</p><p></p><p>
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.</p><p></p><p>
To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.</p></div>

Lead, Data Scientist

Kantar

<div><div>We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in.</div><div></div><div>
To start a career that is out of the ordinary, please apply...</div><div></div><div>
Job Details</div><div>
Lead Data Scientist</div><div>
Chennai, India</div><div></div><div>
KANTAR (<div>www.kantar.com</div>) is the world's leading marketing data and analytics company. We understand how people think, feel, shop, share, vote and view more than anybody else. With over 25,000 people, we combine the best of human understanding with sophisticated technologies to help the world's leading organizations, succeed and grow.</div><div></div><div>
We are searching for a dynamic Data Science leader to join our team and evolve, build, and lead our portfolio of AI, Machine learning and sophisticated data science solutions. This position offers an outstanding opportunity to lead and develop some of the most exciting and challenging AI-led projects for Kantar and its clients, and make an impact in a fast-paced, entrepreneurial environment.</div><div>
As a leader you will be responsible for collaborating with the Chief AI Scientist and the Executive Committee to build an outstanding portfolio of AI-led solutions within KANTAR, employing the latest developments in AI/ML. You will engage in several R&amp;D efforts to demonstrate and develop new capabilities, algorithms, and technologies across the entire breadth of data science, including but not limited to Generative AI. Subsequently, you will work closely with Engineering, Product, Operations, and Commercial teams to scale and commercialize the products and solutions you develop.</div><div>
In this role, you are accountable for the process of translating potential AI, ML and other data science ideas into concrete, scalable products. You will work hands-on and lead a very hardworking, cross-functional, and geographical team with multifaceted strengths of data scientists. As part of the global data science and innovation team, you will serve as a representative and ambassador for data science, AI, and ML-led solutions with all collaborators.</div><div><br>
Qualification, Experience, and skills</div><ul><li>
Advanced degree or equivalent experience from world-class technical institutes in relevant field</li><li>
Demonstrated ability in Data science including traditional supervised and unsupervised machine learning methods, with some exposure to / experience in Generative AI in the last few years.</li><li>
Strong background in mathematics, probability, analytic problem solving and multivariate statistics</li><li>
Confirmed experience of having led, or responsible for AI / ML product / solution development.</li><li>
Demonstrable experience in building and deploying applications on cloud platforms like Azure/AWS/Google Cloud using server-less architecture. Proficiency in tools such as Azure machine learning service, Amazon Sagemaker, Google Cloud AI</li><li>
Proficiency with Python is critical</li><li>
Ambitious, dedicated, curious, and entrepreneurial</li></ul><div></div><div>
Desired skills that would be a distinct advantage</div><div></div><ul><li>
Experience in Agile working methodologies for product development</li><li>
Has already worked in a Research and Development set-up or in a Product Development role</li><li>
Excellent (English) communication skills to address both technical audience and business stakeholders</li><li>
Comfortable working in global set-ups with diverse cross-geography teams and cultures</li><li>
Technology savvy &ndash; closely follows the latest developments in Data Science and technology</li><li>
Willing to try out new things and quickly prototype solutions.</li><li>
Has an &lsquo;ideate-fast, test-fast, fail-fast, learn-fast&rsquo; attitude</li><li>
Meticulous and deep attention to detail</li><li>
Being able to straddle &lsquo;big picture strategy&rsquo; and &lsquo;tactical details&rsquo; with ease</li></ul><div></div><div>
Location: Chennai, India preferred.</div><div></div><div>
You may get in touch with <div>parul.oswal@kantar.com</div> if you are interested to know more about this fantastic opportunity at Kantar.</div><div></div><div><i>
Kantar is an equal opportunities provider</i></div><div></div><div>
About Kantar Analytics Practice</div><div></div><div>
The Global Data Science and Innovation (DSI) unit of KANTAR, nested within its Analytics Practice (<div>https://www.kantar.com/expertise/analytics</div>), is a fast-growing team of niche, elite data scientists responsible for all AI and data science led innovation within KANTAR.</div><div>
The unit is responsible for influencing the organization&rsquo;s AI strategy, and leading all AI-related initiatives within KANTAR (<div>https://www.kantar.com/campaigns/artificial-intelligence</div>), including bringing in the latest developments in the field of Machine Learning, Generative AI, Deep Learning, Computer Vision, NLP, Optimization, etc. to solve complex business problems in marketing analytics and consulting and build products that empower our colleagues around the world. The unit has a strong internal and external reputation with global stakeholders and clients, of handling sophisticated cutting-edge analytics, using state-of-the-art techniques and deep mathematical / statistical</div><div></div><div>
Why join Kantar?</div><div></div><div>
We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, nobody knows people better than Kantar.</div><div></div><div>
And because we know people, we like to make sure our people are looked after as well. Equality of opportunity for our people is our highest priority and we encourage our people to work in a way that supports their health and wellbeing. While we encourage our colleagues to spend part of their working week in the office, we understand no one size fits all, and we&rsquo;re flexible in our approach to ensure people feel included and accepted. We&rsquo;re committed to creating an inclusive culture and value the diversity of our people, clients, suppliers and communities, which is why we welcome applications from all background and sections of society. Even if you feel like you&rsquo;re not a perfect fit, we&rsquo;d love to receive your application and talk to you about this job or others at Kantar.</div><div></div><div>
#LI-Hybrid</div><div>
#LI-PO1</div><div></div><div>
Location</div>
Chennai, Teynampet, Anna SalaiIndia<div></div><div>
Kantar Rewards Statement</div><div>
At Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market competitive and also to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver.</div><div></div><div><br>
We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Apply for a career that&rsquo;s out of the ordinary and join us.</div><div></div><div><br>
We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and well being is taken into consideration.</div><div></div><div><br>
We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.</div><div></div><div>
Kantar is the world&rsquo;s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar&rsquo;s 30,000 people help the world&rsquo;s leading organisations succeed and grow.</div></div>

Chubb Insurance

<div><p><b>About Chubb
</b></p><p>Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&amp;P 500 index. Chubb employs approximately 43,000 people worldwide. Additional information can be found at: www.chubb.com .
</p><p><b>About Chubb India
</b></p><p>At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work&reg; for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow.
</p><p>With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.
</p><p>We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.
</p><p><b>Position Details:
</b></p><ul><li><b>Function/Department </b>: Advanced Analytics
</li><li><b>Location </b>: Bangalore, India
</li><li><b>Employment Type: </b>Full-time
</li><li><b>Role Overview &ndash; </b>Lead Data Scientist
</li></ul><p>Chubb is looking for a Lead data scientist to join our fast-paced, high-energy team responsible for delivering bleeding edge solutions leveraging AI. This position offers the opportunity to be part of our AI engineering team in delivering high quality AI products
</p><p><b>Responsibilities:
</b></p><ul><li><p>Work closely with team of data scientists to design, build, and test machine learning models to solve complex business challenges on Azure platform.
</p></li><li><p>Researching &amp; implementing state of the art modeling approaches including but not limited to zero-shot/few-shot learning, embedding techniques, fine-tuning etc.
</p></li><li><p>Ensure high quality code that meets business objectives, quality standards and secure web development guidelines.
</p></li><li><p>Building reusable tools to streamline the modeling pipeline and sharing knowledge.
</p></li><li><p>Manage project stakeholder expectations and issue communications on progress.
</p></li><li><p>React to shifting priorities without compromising deadlines and momentum</p></li></ul></div>
<br><div><ul><li><p>9+ years&rsquo; experience in Machine Learning (ML), with deep expertise in writing, and reviewing production code in Python.
</p><ul><li><p>Knowledge of ML frameworks and libraries (such as TensorFlow/Pytorch), and exposure to various ML algorithms and their practical implementation in production at large scale.
</p></li><li><p>Experience with designing scalable end-to-end Machine Learning/NLP systems.
</p></li><li><p>Experience on distributed, high throughput and low latency architecture.
</p></li><li><p>Understanding of NLP techniques around text cleaning/pre-processing, entity extraction, encoder-decoder architectures, similarity matching etc.
</p></li><li><p>Experience building software on top of containerization technology (Kubernetes, Docker etc.), and familiarity with frameworks/tools such as FastAPI, Uvicorn.
</p></li><li><p>Experience in handling a small team
</p></li><li><p>Familiarity with Continuous Integration tools such as Jenkins
</p></li></ul></li></ul><p><b>Why Chubb?
</b></p><p>Join Chubb to be part of a leading global insurance company!
</p><p>Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results.
</p><ul><li><b>Industry leader: </b>Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence
</li><li><b>A Great Place to work: </b>Chubb India has been recognized as a Great Place to Work&reg; for the years 2023-2024 and 2024-2025
</li><li><b>Laser focus on excellence </b>: At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results
</li><li><b>Start-Up Culture </b>: Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter
</li><li><b>Growth and success </b>: As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment<br>
</li></ul><p></p><p><b>Employee Benefits
</b></p><p>Our company offers a comprehensive benefits package designed to support our employees&rsquo; health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include:
</p><ul><li>Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances
</li><li>Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs.
</li><li>Health and Welfare Benefits: We care about our employees&rsquo; well-being in and out of work and have benefits like Hybrid Work Environment, Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits.
</li><li>With you Chubb is better. Whether you are solving challenges on a <b>global stage </b>or creating innovative solutions for local markets, your contributions will help shape the future. If you value <b>integrity, innovation, and inclusion </b>, and are ready to make a difference, we invite you to <b>be part of Chubb India&rsquo;s journey </b>.<br>
</li></ul><p></p><p><b>Join Us<br>
</b></p><p></p><p><b>Apply Now </b>: Chubb India Career page</p></div><br><div></div>

Data Science Festival

Lead Data Scientist - Routing Salary: Up to £100k + Benefits Location: London, Hybrid <p>Data Idols is working with a leading logistics company that's reshaping how operations, data, and technology come together. As part of their growth, they're hiring a <strong>Data Scientist</strong> to join the Routing & Optimisation team, working on complex decision problems that drive real-world efficiencies.</p><p>This is an opportunity to be part of a high-impact, production-focused environment where data science meets operational excellence.</p> The Opportunity <p>Working closely with the Head of Routing & Optimisation, you'll design and develop scalable algorithms , heuristics , and ML/optimisation models that tackle some of the most critical challenges in logistics, from routing and pricing to planning and forecasting.</p><p>You'll collaborate cross-functionally with product and tech teams to bring models into production, writing production-ready code and delivering end-to-end solutions.</p> What's in it for you? <ul><li> Hybrid working </li><li>25 days holiday + bank holidays, plus Christmas Eve off</li><li> Private medical cover , enhanced sick pay, and in-house gym</li><li> Free breakfast , barista coffee, and Thursday social drinks</li><li>Pension scheme with employer contributions</li><li>Enhanced maternity leave</li><li>Travel perks including Cycle to Work and EV scheme </li><li>Be part of a high-growth tech-led logistics company that values innovation and impact</li></ul> Skills and Experience <ul><li>Experience building optimisation or ML models in logistics , transport , or consulting </li><li> Expertise in Mixed Integer Programming , heuristics , approximate algorithms , constraint programming , or ML/DL</li><li>Hands-on with Python and SQL </li><li> Domain knowledge in areas like routing , pricing , forecasting , or procurement planning</li><li>Excellent communication skills</li><li>Comfortable working in agile teams with a fast-delivery mindset</li><li>A proactive mindset with a bias for action and alignment with values like collaboration, curiosity, and getting things done</li></ul><p>If you're a data scientist who thrives on complex decision-making problems and wants to make a tangible impact in a fast-moving, tech-led logistics business, we'd love to hear from you.</p><p> <strong>Click Apply</strong> to send your CV and start the conversation</p><img src="https://www.jobg8.com/Tracking.aspx?6yJpQ3Iag%2fHPd6vLas%2fBhsubwPZBf1dWt" width="0" height="0" />

Lead Data Scientist - Routing

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Software Engineering
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p><b>Position Overview
</b></p><p>We are seeking an experienced Lead Data Scientist (LMTS) to drive data science innovation in predictive modeling and AI within Salesforce&rsquo;s infrastructure domain. As a technical leader, you will design, deploy, and operationalize advanced forecasting and anomaly detection models at scale. You will also shape the roadmap for integrating foundation models and LLMs into production forecasting workflows, enabling faster root cause analysis, proactive recommendations, and automated insights for stakeholders across capacity, cost, and infrastructure planning.
</p><p></p><p>This is a hands-on technical leadership role: you will not only build models but also set technical direction, mentor other data scientists, and raise the bar for reproducibility, scalability, and explainability across our platform.
</p><p></p><p><b>Responsibilities
</b></p><ul><li><p>Lead the design, development, and deployment of high-impact forecasting models used across capacity planning, FinOps, and infrastructure cost management.
</p></li><li><p>Partner with cross-functional leaders (capacity planners, finance, engineering) to shape requirements, influence priorities, and ensure models solve real-world infrastructure challenges.
</p></li><li><p>Act as a multiplier on the team by mentoring SMTS/MTS data scientists, providing technical coaching, and instilling best practices in reproducibility, CI/CD, monitoring, and model lifecycle management.
</p></li><li><p>Drive the adoption of LLMs and foundation models in applied infrastructure management &mdash; defining architectures, guiding experimentation, and leading integration into production workflows.
</p></li><li><p>Own end-to-end quality of deliverables, ensuring models are accurate, robust, observable, and aligned with trust and security standards.
</p></li><li><p>Contribute to the broader data science community at Salesforce by sharing methodologies, influencing platform standards, and reviewing technical designs across teams.
</p></li><li><p>Champion continuous improvement in data science processes, proactively addressing tech debt, standardizing pipelines, and defining metrics (SLIs/SLOs) to measure forecast performance.<br>
<br>
<br>
</p></li></ul><p><b>Qualifications
</b></p><ul><li><p>Advanced technical degree in a relevant field (Computer Science, Statistics, Operations Research, Applied Math, etc.).
</p></li><li><p>8+ years of industry experience building and deploying machine learning solutions (time series forecasting experience strongly preferred).
</p></li><li><p>Proven ability to lead technical direction for data science projects, mentor junior members, and influence cross-team engineering practices.
</p></li><li><p>Demonstrated success delivering production-grade ML/AI systems in cloud environments (AWS/GCP), including monitoring, CI/CD, and observability.
</p></li><li><p>Strong expertise in time series forecasting and ML methods; familiarity with foundation models and LLMs in applied data science.
</p></li><li><p>Proficiency in Python and modern DS/ML tools (mlFlow, Airflow, Docker, Spark, SQL, Pandas/Sklearn).
</p></li><li><p>Strong communicator, capable of influencing both technical and non-technical stakeholders, and of synthesizing complex data science concepts into actionable insights.
</p></li><li><p>Track record of driving measurable business impact through data science solutions at scale.
</p></li></ul><p></p><p><b>BENEFITS &amp; PERKS
</b></p><ul><li><p>Comprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!
</p></li><li><p>World-class enablement and on-demand training with Trailhead.com
</p></li><li><p>Exposure to executive thought leaders and regular 1:1 coaching with leadership
</p></li><li><p>Volunteer opportunities and participation in our 1:1:1 model for giving back to the community
</p></li><li><p>For more details, visit https://www.salesforcebenefits.com/
</p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form .
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</p></div><p></p>

Lead Data Scientist | LMTS

JPMorganChase

<div><b>JOB DESCRIPTION</b><div><br>
<div><p>JPMC is hiring the best talents to join the growing Asset and Wealth Management AI team. We are executing like a startup and building next-generation technology that combines JPMC unique data and full-service advantage to develop high impact AI applications and platforms in the financial services industry. We are looking for hands-on ML Engineering leader and expert who is excited about the opportunity.
</p></div><p></p><div><p>As a senior ML and GenAI engineer (VP), you will play a lead role as a senior member of our global team. Your responsibilities will entail hands on development of high-impact business solutions through data analysis, developing cutting edge ML and LLM models, and deploying these models to production environments on AWS or Azure.
</p></div><p></p><div><p>You'll combine your years of proven development expertise with a never-ending quest to create innovative technology through solid engineering practices. Your passion and experience in one or more technology domains will help solve complex business problems to serve our Private Bank clients. As a constant learner and early adopter, you&rsquo;re already embracing leading-edge technologies and methodologies; your example encourages others to follow suit.
</p></div><p></p><div><p><b>Job Responsibilities</b>
</p></div><p></p><div><p>Hands-on architecture and implementation of lighthouse ML and LLM-powered solutions
</p></div><div><p>Close partnership with peers in a geographically dispersed team and colleagues across organizational lines
</p></div><div><p>Collaborate across JPMorgan AWM&rsquo;s lines of business and functions to accelerate adoption of common AI capabilities
</p></div><div><p>Design and implement highly scalable and reliable data processing pipelines and deploy model inference services.
</p></div><div><p>Deploy solutions into public cloud infrastructure
</p></div><div><p>Experiment, develop and productionize high quality machine learning models, services, and platforms to make a huge technology and business impact
</p></div><p></p><div><p><b>Required qualifications, capabilities, and skills</b>
</p></div></div><p></p><div><div><ul><li>MS in Computer Science, Statistics, Mathematics or Machine Learning.
</li></ul></div><div><ul><li>Minimum 5 years development experience, preferably with 3+ years hands-on Machine Learning Engineering
</li></ul></div><div><ul><li>Proven leadership capacity, including new AI/ML idea generation and GenAI-based solutions
</li></ul></div><div><ul><li>Solid Python programming skills required; with other high-performance language such as Go a big plus
</li></ul></div><div><ul><li>Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes.
</li></ul></div><div><ul><li>Experience in using LLMs (OpenAI, Claude or other models ) to solve business problems, including full workflow toolset, such as tracing, evaluations and guardrails. Understanding of LLM fine-tuning and inference a plus
</li></ul></div><div><ul><li>Knowledge of data pipelines, both batch and real-time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis)
</li></ul></div><div><ul><li>Expertise in application, data, and infrastructure architecture disciplines
</li></ul></div><div><ul><li>Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics.
</li></ul></div><div><ul><li>Excellent communication skills and ability to communicate with senior technical and business partners
</li></ul></div><p></p><div><p><b>Preferred qualifications, capabilities, and skills</b>
</p></div><p></p><div><ul><li>Expert in at least one of the following areas: Natural Language Processing, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis.
</li></ul></div><div><ul><li>Knowledge of machine learning frameworks: Pytorch, Keras, MXNet, Scikit-Learn
</li></ul></div><div><ul><li>Understanding of finance or wealth management businesses is an added advantage
</li></ul></div></div><b>ABOUT US</b><div><br>
<p>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.<br>
<br>
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p></div><br>
<br>
<br>
<b>ABOUT THE TEAM</b><br>
<br>
J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.</div>

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