ml scientist

Optum

<div>Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. 
Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. 
Optum AI team members:<ul><li>
Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone</li><li>
Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development</li><li>
Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities</li></ul> 
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. 
Primary Responsibilities:<ul><li>
Develop novel AI approaches for healthcare using both structured and unstructured data</li><li>
Build and test deep learning and traditional ML models in distributed computing environments</li><li>
Design and plan experiments, conduct statistical analysis and create data visualizations</li><li>
Communicate findings with business stakeholders and collaborate to develop solutions that meet customer needs</li><li>
Collaborate with the Responsible Use of AI (RUAI) team to ensure that the delivered solutions are compliant with company policies and standards</li><li>
Develop code and model documentation, patents and publications in scientific conferences and journals</li><li>
Collaborate with engineering teams to develop robust data pipelines of MLOps procedures for new solutions</li><li>
Stay up to date with latest technologies and literature</li></ul> 
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:<ul><li>
PhD in Statistics, Mathematics, Computer Science or related field</li><li>
5+ years of AI/ML experience (LLM, NLP)</li><li>
5+ years of experience with Python, classical ML methods and deep learning, including deep learning frameworks such as PyTorch or Tensorflow</li><li>
Proven publication track record in top ML/NLP conferences/journals</li></ul> 
Preferred Qualifications:<ul><li>
Experience with LLM frameworks and/or NLP approaches such as text embedding and text classification</li><li>
Experience with distributed computing approaches such as Spark</li><li>
Experience with Snowflake and other relational databases</li><li>
Experience working on collaborative software projects using GitHub</li><li>
Proven solid technical communication skills</li></ul><ul><li> 
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.</li></ul> 
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $145,500 to $249,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. 
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. 
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. 
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.</div>

Lead AI/ML Scientist - Remote

Jex Recruitment | Connecting top talent with leading companies

<div>
 
 
 Senior Data Scientist &ndash; Dubai (FinTech)
 
 
 
 We&rsquo;re working with a high-growth fintech in Dubai that&rsquo;s building out a genuinely strong data science function.
 
 
 
 
 
 They&rsquo;re looking for a
 
 Senior Data Scientist
 
 with a solid grounding in
 
 traditional machine learning
 
 and a
 
 research-driven mindset
 
 to help push their models and products to the next level.
 
 
 
 
 
 
 What you&rsquo;ll be doing:
 
 
 
 &bull; Developing and deploying ML models across core business products
 
 
 &bull; Working closely with engineering and product teams on end-to-end solutions
 
 
 &bull; Applying rigorous experimentation and research approaches to improve performance
 
 
 &bull; Tackling real-world financial data problems at scale
 
 
 
 
 
 
 What they&rsquo;re looking for:
 
 
 
 &bull; 6+ years in Data Science / Machine Learning
 
 
 &bull; Strong experience with traditional ML (not purely LLM-focused)
 
 
 &bull; Background in research, experimentation, or advanced modelling
 
 
 &bull; Experience in fintech, banking, or other data-heavy environments is a plus
 
 
 &bull; Strong coding skills (Python, etc.)
 
 
 
</div>

Senior Data Scientist

The Brite Group

We are seeking a highly skilled and innovative Senior Data Scientist to join our advanced analytics and machine learning team. The ideal candidate will bring deep expertise across a range of AI/ML disciplines, including deep learning, classical machine learning, natural language processing (NLP), and Retrieval-Augmented Generation (RAG) with Large Language Models (LLMs). You will be responsible for building and deploying cutting-edge models that solve real-world problems in complex data environments.Key Responsibilities:<ul><li>Lead development of predictive models using deep learning and classical machine learning algorithms.</li><li>Build and optimize NLP models leveraging transformer-based architectures (e.g., BERT, GPT).</li><li>Design and implement Retrieval-Augmented Generation (RAG) approaches for LLM-based applications.</li><li>Work with vector databases and graph databases for knowledge representation and retrieval.</li><li>Generate and use simulated data to support training and testing of ML models.</li><li>Perform data standardization, aggregation, and integration from structured and unstructured sources.</li><li>Collaborate with cross-functional teams to understand business needs and translate them into ML solutions.</li><li>Document workflows, produce technical reports, and contribute to academic or industry publications.</li><li>Use version control tools to manage collaborative model development (e.g., GitHub).</li><li>Support end-to-end ML lifecycle from data wrangling and modeling to deployment and monitoring.</li></ul>Required Qualifications:<ul><li>Minimum 8 years of hands-on experience in AI/ML software development using Python and R.</li><li>Strong background in deep learning, transformer-based NLP, and classical ML.</li><li>Experience with RAG, LLMs, and embedding-based retrieval systems.</li><li>Expertise in data wrangling, data standardization, and feature engineering.</li><li>Proven experience working with vector databases (e.g., FAISS, Pinecone, Weaviate) or graph databases (e.g., Neo4j).</li><li>Strong understanding of ML frameworks such as TensorFlow, PyTorch, and scikit-learn.</li><li>Familiarity with version control systems (e.g., Git, GitHub).</li><li>Experience with cloud computing platforms (AWS, GCP, or Azure).</li><li>Demonstrated ability to produce high-quality technical documentation and research publications.</li><li>Master&rsquo;s degree or Ph.D. in Statistics, Computer Science, or a related quantitative discipline.</li></ul>Preferred Qualifications:<ul><li>Hands-on experience with SAS, SQL, Amazon RDS, and JIRA.</li><li>Knowledge of ML Ops practices and model deployment pipelines.</li><li>Prior experience in contributing to academic or technical publications.</li><li>Exposure to federal or enterprise-scale projects is a plus.</li></ul>Job Types: Full-time, ContractPay: $160,000.00 - $175,000.00 per yearBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>Are you eligible for a Public Trust?</li></ul>Location:<ul><li>Reston, VA 20190 (Preferred)</li></ul>Ability to Relocate:<ul><li>Reston, VA 20190: Relocate before starting work (Required)</li></ul>Work Location: Hybrid remote in Reston, VA 20190

Netflix

<div>At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what&rsquo;s next.
Data Science and Engineering (&lsquo;DSE&rsquo;) at Netflix is aimed at using data, analytics, causal inference, machine learning (ML), and sciences to improve various aspects of our business. The AI initiative at Netflix Games is dedicated to pioneering the next generation of interactive entertainment. We have the ambition to transform how players interact with stories, characters, and worlds by empowering gameplay experience with AI. We work at the intersection of creative game design and cutting-edge machine learning, ensuring that dynamic storytelling is not only novel but also coherent, immersive, and safe for our players.
We are seeking an experienced L5 ML Scientist specialized in forecasting and audience research .
In this role, you will:
<ul><li>Build Foundational ML Building Blocks: Develop sophisticated embeddings and models that incorporate deep game-specific signals to solve high-impact business problems, including audience insights, opportunity sizing, and forecasting.
</li><li>Accelerate Product Development: Build the tools, models, and pipelines required to accelerate DSE workflows across games portfolio, studios, product, and platform.
</li><li>Bridge the Netflix Ecosystem: Act as a key liaison with the broader Netflix DSE and AI teams to adopt, adapt, and tailor global Netflix capabilities for the unique requirements of the gaming space.
</li><li>Design Scalable Pipelines: Create end-to-end ML pipelines that accelerate and enable DSE members across games to uncover actionable insights and build data-intensive game features.
</li><li>Elevate ML Practices: Establish the technical standards for how ML capabilities are applied across game domains.
</li></ul>Who Will Succeed in This Role:
<ul><li>Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
</li><li>5+ years of experience leading complex, end-to-end ML projects that impact end-customer experiences.
</li><li>3+ years of experience navigating large-scale technical organizations to align roadmap priorities and share infrastructure
</li><li>You can digest the latest research paper in the morning and ship a functional prototype or foundational model by the afternoon.
</li><li>You can bridge the gap between technical ML architecture and business objectives, translating product needs into rigorous technical specifications.
</li><li>You thrive in zero-to-one environments, enjoying the freedom to choose your stack and define the engineering standards for a new domain.
</li><li>You have a foundational understanding of causal inference principles, allowing you to discern when a predictive model is sufficient vs. when a causal approach is required.
</li><li>You have a passion for developing reusable ML capabilities to unlock and accelerate development work broadly.
</li></ul>Nice to Have:
<ul><li>Experience working with game development teams, particularly in game design and engineering.
</li><li>Experience with building production-grade ML systems, including MLOps best practices.
</li><li>Have strong engineering skills, particularly in designing and optimizing evaluation frameworks (e.g., Python, PyTorch, LangChain). 
</li></ul>Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is . This compensation range will vary based on location.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here .
Netflix is a unique culture and environment. Learn more here .
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.</div>

Machine Learning Scientist 5 - Games

Baylor Scott & White Health

<div><h4 class="jobSectionHeader">About Us</h4>
Here at Baylor Scott &amp; White Health we promote the well-being of all individuals, families, and communities. Baylor Scott and White is the largest not-for-profit healthcare system in Texas that empowers you to live well.
Our Core Values are:<ul><li>
We serve faithfully by doing what's right with a joyful heart.</li><li>
We never settle by constantly striving for better.</li><li>
We are in it together by supporting one another and those we serve.</li><li>
We make an impact by taking initiative and delivering exceptional experience.</li></ul><h4 class="jobSectionHeader">
</h4><h4 class="jobSectionHeader">
Benefits</h4>
Our benefits are designed to help you live well no matter where you are on your journey. For full details on coverage and eligibility, visit the Baylor Scott &amp; White Benefits Hub to explore our offerings, which may include:<ul><li>
Immediate eligibility for health and welfare benefits</li><li>
401(k) savings plan with dollar-for-dollar match up to 5%</li><li>
Tuition Reimbursement</li><li>
PTO accrual beginning Day 1</li></ul>
Note: Benefits may vary based upon position type and/or level.<h4 class="jobSectionHeader">
Salary</h4>
The pay range for this position is $90k annually (entry-level qualifications) - $140,462k annually (highly experienced). The specific rate will depend upon the successful candidate's specific qualifications and prior experience.<h4 class="jobSectionHeader">
Job Summary</h4>
The Clinical Data Scientist will collaborate closely with research teams to address complex and high-impact clinical challenges. The ideal candidate will be well-versed in Python and AI/ML frameworks and skilled with generative AI tools, with familiarity in software engineering. This expertise will support clinical research, inform decision-making, and drive improvements in patient outcomes.<h4 class="jobSectionHeader">
Essential Functions of the Role</h4><ul><li>
Communication and Clinical Consulting: 
Translate complex data science and machine learning concepts into clear, actionable insights for clinicians, researchers, and non-technical stakeholders. Present data-driven findings to support clinical decision-making, research initiatives, and operational improvements.</li><li>
OpenAI and Generative AI Applications: 
Design, develop, and deploy solutions leveraging large language models (LLMs), including OpenAI-based systems, to extract insights from unstructured clinical data. Build prompt-driven and programmatic pipelines for clinical text understanding, information extraction, summarization, and decision support. Ensure responsible and effective use of generative AI in healthcare and research settings.</li><li>
Natural Language Processing and Generative AI: 
Design and implement NLP pipelines leveraging transformer architectures (e.g., Clinical BERT, ModernBERT) and large language models (LLMs, including OpenAI-based systems) to process clinical notes, imaging reports, and other unstructured EHR data. Develop explainable AI solutions to support clinical interpretation and research.</li><li>
Medical Imaging and Multimodal Data Analysis: 
Apply machine learning techniques to imaging data (e.g., echocardiography, ECG, radiology reports) and integrate multimodal data sources to enhance disease detection, phenotyping, and predictive modeling.</li><li>
Data Engineering and Pipeline Development: 
Design and maintain scalable data pipelines for clinical and research data, integrating diverse sources such as EHR</li><li>
Data Collection and Optimization: 
Extract, clean, and analyze data from SQL-based systems (MS SQL Server) and cloud-based environments like Microsoft Azure.</li><li>
Research and Innovation: 
Contribute to clinical research initiatives, including study design, model development, validation, and manuscript preparation. Stay current with advancements in AI/ML, clinical informatics, and digital health to continuously improve methodologies.</li></ul><h4 class="jobSectionHeader"> 
</h4><h4 class="jobSectionHeader">
Key Success Factors</h4><ul><li>
Master's degree in a quantitative field like computer science, engineering, statistics, mathematics, economics, or a related field. Significant demonstrated experience in the role. PhD preferred.</li><li>
3+ years of hands-on data scientist mathematical predictive modeling experience in a business environment or equivalent.</li><li>
Proficiency in common language/tools for AI/ML &ndash; (e.g., Python/Pyspark, Keras, Tensorflow libraries, etc.).</li><li>
Experience working in a cloud environment such as Azure, and their ML services.</li><li>
Great social skills, like communication and partnership, are needed. This is due to interaction with analytics, intelligence, and cross-functional teams.</li><li>
Know algorithms for advanced analytics, like binary classification, regression, Neural Networks, and Natural Language Processing.</li><li>
Demonstrated knowledge of software engineering topics, including classes, functions, version control, CI/CD, and unit tests.</li><li>
Technical expertise with many compute environments.</li><li>
Experience working in EDW cloud technologies - Snowflake.</li><li>
Proven experience in working with large datasets and relational databases (SQL).</li></ul><h4 class="jobSectionHeader">
Belonging Statement</h4>
We believe that all people should feel welcomed, valued and supported.
QUALIFICATIONS<ul><li>
EDUCATION - Masters' or Bachelors plus 2 years of work experience above the minimum qualification</li><li>
EXPERIENCE - 3 Years of Experience</li></ul></div>

Clinical Data Scientist

LexisNexis Legal & Professional

<div><div>About our Team:</div><div> 
LexisNexis Legal &amp; Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today&rsquo;s top model creators for each individual legal use case.
About the Role:
Are you looking to develop your Data Scientist career?
Do you enjoy coaching others to achieve high standards?
We are seeking a Senior Data Scientist III to lead the design and validation of Agentic AI-driven product capabilities within the legal domain. This role focuses on defining what to build and why&mdash;leveraging machine learning, NLP, and large language models (LLMs) to solve complex legal workflows.
You will drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions.
Responsibilities:<ul><li>
Lead experimentation and model development for AI/ML solutions in legal products.</li><li>
Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).</li><li>
Define agentic workflows and reasoning strategies for multi-step legal tasks.</li><li>
Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>
Analyze large-scale legal datasets to extract insights and improve model performance.</li><li>
Establish best practices for model evaluation, validation, and benchmarking.</li><li>
Translate experimental results into clear product recommendations and business impact.</li><li>
Collaborate with product, legal experts, and engineers to align solutions with user needs.</li><li>
Mentor team members and provide technical leadership in data science and AI.</li></ul>
Required Qualifications<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).</li><li>
Strong experience in machine learning, NLP, and LLM-based modeling.</li><li>
Proven experience designing and running experiments, including model evaluation and iteration.</li><li>
Experience with generative AI techniques (e.g., prompt engineering, RAG).</li><li>
Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.</li><li>
Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.</li><li>
Proficiency in Python and data analysis tools.</li><li>
Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).</li><li>
Able to analyze large-scale legal datasets to extract insights and improve model performance.</li></ul></div>
#AIFluent
U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights.</div>

Senior Data Scientist III - Agentic AI

Serko Ltd

<div>Serko is a cutting-edge tech platform in global business travel &amp; expense technology. When you join Serko, you become part of a team of passionate travellers and technologists bringing people together, using the world&rsquo;s leading business travel marketplace. We are proud to be an equal opportunity employer, and we embrace the richness of diversity, showing up authentically to create a positive impact. There's an exciting road ahead of us, where travel needs real, impactful change.
With offices in New Zealand, Australia, North America, and China, we are thrilled to be expanding our global footprint, landing our new hub in Bengaluru, India. With a rapid growth plan in place, we&rsquo;re hiring people from different backgrounds, experiences, abilities, and perspectives to help us build a world-class team and product. 
 
This role can be based in West Coast USA - we would be open to candidates in other locations as well with proven experience and expertise. 
Requirements 
We are building a foundational AI division at Serko and looking for a Senior Data Scientist to help us move from concept to MVP at velocity. 
This is a hands-on role for someone who prefers building over maintaining. You&rsquo;ll be implementing models within AI-agentic environments, specifically focusing on Recommender Systems, Ranking algorithms, and Reinforcement Learning. 
 
What you'll do<ul><li>
Architect and lead the deployment of sophisticated data science solutions that define the technical direction for Serko&rsquo;s AI-agentic ecosystem.</li><li>
Design the foundational frameworks for model integration within multi-agent environments, overseeing the implementation of high-scale Recommender Systems, Ranking algorithms, and advanced Deep Learning architectures (e.g., Heterogeneous Graph Transformers).</li><li>
Set the standard for technical excellence and velocity, establishing the protocols for scoping and prioritizing complex, cross-functional projects.</li><li>
De-risk the most ambiguous and high-stakes technical challenges, proactively adapting emerging AI technologies to ensure Serko remains a market leader.</li><li>
Partner with Leadership to co-create AI-first product strategies, ensuring the long-term roadmap is anchored in technical feasibility and measurable commercial outcomes.</li><li>
Anticipate market shifts and technological risks, identifying long-term opportunities that leverage proprietary data to create a competitive &quot;moat.&quot;</li><li>
Command executive-level influence by translating complex technical trajectories into strategic business cases for the C-suite and key global partners.</li><li>
Sponsor and elevate the technical community, raising the collective &quot;technical ceiling&quot; of the organization through high-level mentorship and the establishment of best practices.</li></ul>
What you'll bring<ul><li>
At least 8-10+ years of proven experience building and scaling production-grade ML systems that have moved the needle on global business metrics.</li><li>
Deep technical mastery in machine learning and applied statistics, with a track record of implementing &quot;bleeding-edge&quot; techniques in a commercial environment.</li><li>
Authority in experimentation and systems design, with the ability to build for extreme scalability, maintainability, and reliability across global regions.</li><li>
Executive-level communication skills, with a demonstrated ability to influence organizational strategy and navigate complex stakeholder landscapes.</li><li>
Strategic product intuition, understanding how to balance long-term architectural health with the immediate needs of a fast-paced product development cycle.</li><li>
Proven technical leadership, with experience guiding senior engineers/scientists through complex pivots and high-pressure launches.</li><li>
Advanced software engineering fluency (Python and modern data stacks), with a focus on building modular, reusable, and production-hardened AI components.</li><li>
Visionary and resilient mindset, comfortable owning the &quot;blank page&quot; and driving clarity in environments of extreme ambiguity.</li></ul> 

Benefits 
At Serko, we aim to create a place where people can come and do their best work. This means you&rsquo;ll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities, producing high-quality and delivering innovative and efficient results. Our people are fully engaged, continuously improving, and encouraged to make an impact.
Some of the benefits of working at Serko are:<ul><li>
A competitive base pay</li><li>
Medical Benefits</li><li>
Discretionary incentive plan based on individual and company performance</li><li>
Focus on development: Access to a learning &amp; development platform and opportunity for you to own your career pathways</li><li>
Flexible work policy</li><li>
The pay range is between $184,000 - $270,000 USD as a base salary offering annually.</li></ul></div>

Principal Data Scientist

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Lead AI/ML Scientist - Remote

Senior Data Scientist

Senior Data Scientist

Machine Learning Scientist 5 - Games

Clinical Data Scientist

Senior Data Scientist III - Agentic AI

Principal Data Scientist