senior scientist

<div>
 
 Job Description
 
 
 
 
 Your Responsibilities
 
 
 
 As a
 
 Senior Scientist
 
 , you will play a key role in supporting our beverage application laboratory and contributing to the development of finished applications. You will take ownership of customer projects, ensuring all activities are delivered in line with timelines, safety standards, and business objectives.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Develop a strong understanding of ADM Nutrition&rsquo;s product and service portfolio
 </li>
 <li>
 Be responsible for the creation, production, and adaptation of taste samples, including modifications of ADM products based on customer requirements and releasing samples for customer evaluation
 </li>
 <li>
 Work confidently with fine chemicals while maintaining precise, disciplined, and safe working practices
 </li>
 <li>
 Collaborate cross-functionally across EMEA, including with our development headquarters in Germany, other application laboratories, and commercial teams
 </li>
 <li>
 Coordinate multiple customer projects simultaneously while ensuring efficient project execution and communication
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Food Science &amp; Technology, Chemistry, Pharmacy, or a related field
 </li>
 <li>
 Minimum 5 years of experience in beverage product development and applications
 </li>
 <li>
 Proven success working within a B2B environment
 </li>
 <li>
 Strong knowledge of product processing and ingredient interactions
 </li>
 <li>
 Excellent project management skills with the ability to manage multiple priorities
 </li>
 <li>
 Excellent written and spoken English and Arabic
 </li>
 <li>
 Strong communication and stakeholder management skills
 </li>
 <li>
 Good IT skills with experience using tools such as SAP and Salesforce
 </li>
 <li>
 Passion for developing innovative solutions and staying ahead of beverage market trends
 </li>
 <li>
 Collaborative mindset with the ability to work effectively across teams and functions
 
 
 </li>
 </ul>
 
 Our Offer
 
 
 
 <ul>
 <li>
 A high level of personal responsibility within a modern and flexible working environment
 </li>
 <li>
 Opportunities for growth and career development, with the possibility to shape your own career path
 </li>
 <li>
 Collaborative colleagues with a strong team spirit who are passionate about solving the nutritional challenges of today and tomorrow
 </li>
 <li>
 Attractive compensation and benefits package, including subsidized health and fitness programs
 </li>
 <li>
 A company culture that promotes continuous learning, inclusion, and diversity across all functions and levels
 
 
 </li>
 </ul>
 
 #IncludingYou
 
 
 
 Diversity, equity, inclusion and belonging are cornerstones of ADM&rsquo;s efforts to continue innovating, driving growth, and delivering outstanding performance. We are committed to attracting and retaining a diverse workforce and create welcoming, truly inclusive work environments &mdash; environments that enable every ADM colleague to feel comfortable on the job, make meaningful contributions to our success, and grow their career. We respect and value the unique backgrounds and experiences that each person can bring to ADM because we know that diversity of perspectives makes us better, together.
 
 
 For more information regarding our efforts to advance Diversity, Equity, Inclusion &amp; Belonging, please visit our website here: Culture, Engagement &amp; Inclusion | ADM.
 
 
 
 About ADM
 
 
 
 At ADM, we unlock the power of nature to provide access to nutrition worldwide. With industry-advancing innovations, a complete portfolio of ingredients and solutions to meet any taste, and a commitment to sustainability, we give customers an edge in solving the nutritional challenges of today and tomorrow. We&rsquo;re a global leader in human and animal nutrition and the world&rsquo;s premier agricultural origination and processing company. Our breadth, depth, insights, facilities and logistical expertise give us unparalleled capabilities to meet needs for food, beverages, health and wellness, and more. From the seed of the idea to the outcome of the solution, we enrich the quality of life the world over. Learn more at www.adm.com.
 
 
 
 Req/Job ID
 
 
 
 109451BR
 
 
 
 Ref ID
 
 
 
</div>

Senior Scientist

TMC Middle East

<div>
 
 TMC Middle East is currently engaged in a project with one of our prestigious customers in UAE.
 
 
 We are seeking a highly capable Senior Data Scientist expert to help TMC to deliver this assignment.
 
 
 
 
 
 
 About the Role:
 
 
 
 Position: Senior Data Scientist
 
 
 Location: Abu Dhabi
 
 
 Experience: 8+ Years
 
 
 Preferred: Western &amp; Diverse candidates
 
 
 
 
 
 Technical Requirements
 
 
 ● Core AI/ML: Expert proficiency in Python and standard ML libraries (TensorFlow/PyTorch,
 
 
 Scikit-learn, Pandas, NumPy). Strong grasp of both supervised and unsupervised learning
 
 
 techniques.
 
 
 ● NLP &amp; LLMs: Deep experience with transformer-based models (GPT, BERT, Llama) and
 
 
 prompt engineering techniques (few-shot learning, fine-tuning) for domain-specific tasks.
 
 
 ● Data Engineering: Proficiency in handling complex data structures (JSON, XML) and
 
 
 familiarity with database querying (SQL/NoSQL) or graph data structures. Experience with
 
 
 data extraction from specialized formats is a significant plus.
 
 
 ● Backend Awareness: Understanding of how to expose models via RESTful APIs
 
 
 (Flask/FastAPI) and integrate them into larger software architectures.
 
 
 ● Statistics: Solid understanding of statistics, probability distribution, A/B testing. Adept at
 
 
 identifying and mitigating biases in datasets.
 
 
 
 
 
 Professional Qualifications
 
 
 ● Experience: 5+ years of experience in Data Science or Machine Learning, with a proven
 
 
 track record of deploying models into production environments.
 
 
 ● Domain Adaptability: Ability to quickly grasp complex domain terminology (e.g.,
 
 
 construction regulations, defense standards, supply chain taxonomies) and translate them
 
 
 into logic.
 
 
 ● Structured Delivery: Experience working in structured delivery models
 
 
 (Agile/Sprint-based) while adhering to rigorous validation and verification standards.
 
 
 ● Collaboration: Strong communication skills to work effectively with Domain Experts,
 
 
 Backend Engineers, and Product Managers to align model outputs with real-world
 
 
 business logic.
 
 
 
 
 
 Please share your CV with the title of
 
 Senior Data Scientist
 
 
 
 Mail ID : vigneshwari.sivalingam@tmc-employeneurs.com
 
</div>

Senior Data Scientist

Compare The Market

<div>Senior Data Scientist
Function: Data &amp; AI Solutions 
Location: Hybrid, London or Peterborough office 
Curious about what&rsquo;s next? 
So are we. Join Compare the Market and help to make financial decision making a breeze for millions.
At Compare the Market, we&rsquo;re a purpose-driven business powered by tech and AI. We&rsquo;re building high-performing, results-driven teams with the skills, mindset, and ambition to deliver outcomes at pace. Every role here plays a part in driving our mission forward, and we create an environment where you can bring your authentic self, grow a truly characterful career, and see the direct impact of your work on the lives of our customers.
We&rsquo;ve carved a meerkat-shaped niche and we&rsquo;re looking for ambitious, curious thinkers who thrive in a fast-moving, high-impact environment. If you love accountability, embrace challenge, and want to make a real difference, you&rsquo;ll fit right in. 
We&rsquo;d love you to be part of our journey.
Compare the Market is shifting from a business that answers data questions to one that builds the intelligence powering our AI platform - signals detected, decisions shaped, actions triggered.
As a Senior Data Scientist in Data &amp; AI Solutions, you will lead the design and build of models and pipelines at the heart of our AI platform - from understanding how hundreds of insurance partners price risk, to predicting which customers need a better deal, to powering personalisation. Your job is to build the systems that surface answers that don&rsquo;t yet exist in the data.
We want someone who thinks in systems, with curiosity across the modern data science stack and depth in at least one area. We are actively developing agentic AI and want a Senior Data Scientist ready to deepen their expertise and contribute from a specific angle.
You will lead by doing, raising the bar for those around you and working closely with ML engineering, product, and commercial colleagues. 
Some of the great things you'll be doing:<ul><li>
Lead ML and analytics initiatives end-to-end, from exploration through to deployment and monitoring, collaborating with ML Engineers on productionisation</li><li>
Translate business and customer problems into structured, measurable ML solutions</li><li>
Design and interpret experiments and A/B tests with scientific rigour</li><li>
Champion responsible, auditable AI - owning model performance in production, knowing when a system is degrading and how to address it, in a regulated financial services environment where precision and explainability matter</li><li>
Navigate the tooling landscape: knowing when classical ML is right, when an LLM adds value, when an agentic approach is needed</li><li>
Work with commercial, product, and engineering colleagues to scope and prioritise work, communicating outcomes clearly</li><li>
Mentor junior data scientists and contribute to standards across the wider Data &amp; AI Solutions chapter</li></ul> 
What we'd like to see from you:
The Essentials<ul><li>
Proven experience delivering ML solutions with measurable business impact</li><li>
Strong Python and modelling fundamentals - supervised and unsupervised methods, statistical analysis, feature engineering</li><li>
A track record of taking models to production and owning their performance: monitoring, degradation, retraining</li><li>
Ability to collaborate effectively with engineering teams on deployment and ML lifecycle</li><li>
Clear communication - able to make technical work legible to commercial and product audiences</li></ul> 
Highly Valued<ul><li>
Hands-on experience with LLM-based systems: prompt engineering, RAG, tool use, or orchestration frameworks such as LangChain or LangGraph</li><li>
Familiarity with multi-step agentic AI patterns</li><li>
Experience in financial services or another regulated sector</li><li>
MLflow, model registries, or similar ML lifecycle tooling</li><li>
Exposure to cloud ML platforms - GCP Vertex AI, AWS SageMaker, or equivalent</li></ul> 
Why Compare the Market?
We&rsquo;re a business built for pace and performance. Here, you&rsquo;ll be encouraged to think differently, act boldly, and deliver brilliantly in a culture that values results and rewards progress.
We believe diverse teams make better decisions, and we&rsquo;re committed to creating an inclusive workplace where everyone feels empowered to grow, contribute, and thrive.
If you&rsquo;re ready to stretch yourself, raise the bar, and grow with a team that&rsquo;s serious about performance, innovation, and purpose, we&rsquo;d love to hear from you.</div>

Sainsbury’s

<div><div><h1 class="jobSectionHeader">Senior Data Scientist
</h1></div><h4 class="jobSectionHeader">Salary: Competitive Plus Benefits 
Location: London Store Support Centre and Home, London, EC1M 6HA
 
Contract type:
 
Business area: Data &amp; Analytics 
Closing date: 07 July 2026 
Requisition ID: 400067294</h4><div><div>At Sainsbury&rsquo;s, data sits at the heart of how we operate, innovate and serve our customers. Our Data &amp; Analytics team is building a technically advanced, commercially focused and impactful capability, powering our Next Level Strategy and helping to create a Sainsbury&rsquo;s powered by industry leading AI algorithms. We use data, technology and advanced analytics to drive better decisions across the business, from forecasting and optimisation to experimentation, personalisation and machine learning. With one of the richest retail datasets I n the UK and a portfolio spanning Sainsbury&rsquo;s, Argos, Habitat and Nectar, the opportunity to innovate is huge. Here, you&rsquo;ll tackle complex challenges at scale, create measurable impact and grow quickly alongside brilliant colleagues. People who thrive with us combine business understanding, technical expertise and curiosity, with a natural instinct for problem-solving. Join us and help shape the future of retail through data and AI.
</div></div><div><div>Senior Data Scientist &ndash; Nectar360 


Location

London &ndash; Farringdon/Home

Reporting to

N360 Data Science Manager 


What is it?

We&rsquo;re looking for a talented Senior Data Scientist to join Nectar360 &ndash; the team behind Sainsbury&rsquo;s Retail Media offering, and the UK&rsquo;s largest coalition loyalty programme (Nectar), with 24 million members nationwide.

Our N360 Data Science team builds the systems behind our market-leading Retail Media platform (N360 Pollen), allowing hundreds of suppliers, media agencies and internal teams to set up, customise and measure their marketing campaigns. We develop and continuously improve our cutting-edge measurement capabilities, including multi-channel attribution, uplift estimation, AI-driven targeting and budget optimisation - across instore, onsite and offsite media. Our work enables suppliers to engage with customers every day and maximise the impact of their advertising.

Based in our new Farringdon office, this role will work closely with decision-makers across Nectar360 and Sainsbury&rsquo;s to continue building innovative solutions for Nectar360, our suppliers and partners, using our incredible data assets, our rich customer understanding, and state of the art machine learning and AI. As one of the senior individual contributors in the team, you&rsquo;ll apply your wealth of experience and ideas to design, build, and improve our capabilities &ndash; driving value for the customer and the business. With a large team of data scientists and analysts across Sainsbury&rsquo;s and millions of known customers, the scale and scope are huge. 


What you will do

As a Senior Data Scientist, your key responsibilities will include:

Solve the hard problems
<ul>
<li>Lead on the technical development of algorithms and pipelines that will deliver against our strategic objectives in Nectar360, including our industry-leading marketing measurement solutions.</li>
<li>Develop and enhance modelling and optimisation capabilities, using techniques such as MMMs, causal inference, multi-touch attribution, experimentation Bayesian modeling, unsupervised learning and many others.</li>
<li>Own projects, leading junior colleagues and engaging with stakeholders to define goals and ensure projects deliver impact.</li></ul> 


Embody and improve best practice
<ul>
<li>Align to best practice across modelling, experimentation, deployment, and model lifecycle management.</li>
<li>Coach through doing &ndash; pairing on code and demonstrating standards.</li></ul> 


Be an enthusiastic member of our community
<ul>
<li>Become the recognised data science technical expert in your team, bringing new ideas for future approaches, including state of the art techniques where appropriate.</li>
<li>Understand how our business really works and how data science can improve customer experience and our offering to 3rd parties.</li>
<li>Actively contribute to our vibrant Data and Analytics community of over 800 colleagues</li></ul> 


Who you are

We&rsquo;re looking for a highly motivated self-starter &ndash; someone who fixes problems and creates value without micromanagement. You need to know how to balance our need for technical rigour against our need to deliver commercial and customer value.

Value delivery
<ul>
<li>Extensive experience in Data Science roles in a commercial setting, with evidence of solving complex problems end-to-end.</li>
<li>A record of building systems which run in production, and an understanding of the value these generated.</li>
<li>An ability to understand commercial reality as well as technical rigour, and a pragmatic mindset.</li>
<li>Experience working in an Agile way, and ability to understand the trade-off between immediate value, future value, and technical options.</li>
<li>A strong ability to communicate ideas to audiences of varying technical background and seniority, and present key ideas and insights succinctly.</li>
<li>Independence in proposing and implementing solutions</li></ul> 


Data Science expertise
<ul>
<li>Solid grounding and experience in applying statistical modelling and machine learning in commercial settings, with proven experience in some of the following areas: Causal inference, MMMs, Bayesian inference, experimentation, multi-touch attribution, time series modelling.</li>
<li>Ability to select the right technique for a given objective and avoid pitfalls.</li>
<li>Curiosity, scepticism and attention to detail regarding data quality, samples, bias and ethics.</li></ul> 


Production-grade design
<ul>
<li>Advanced programming ability in Python and strong ability to use SQL, with a proven experience of developing complex solutions and working with large codebases as part of a team.</li>
<li>Solid understanding of setting up and working with production codebases, version control and CI/CD.</li>
<li>Practical experience working with cloud platforms and MLOps tools to build and maintain production-ready solutions.</li>
<li>Ability to lead technical conversations with Data/ML Engineers.</li></ul> 


Development and coaching
<ul>
<li>A strong awareness and understanding of technology trends and direction in Data Science, analytics and AI.</li>
<li>Ability to support in the development, training and mentoring of others</li></ul> 


Essential Criteria
<ul>
<li>Extensive experience in previous Data Science roles in a commercial setting</li>
<li>A record of building systems which run in production</li>
<li>A strong ability to communicate ideas to audiences of varying technical background and seniority</li>
<li>Independence in proposing and implementing solutions</li>
<li>Solid grounding and experience in applying statistical modelling and machine learning in commercial settings</li>
<li>Advanced programming ability in Python and strong ability to use SQL</li>
<li>Solid understanding of working with production codebases, version control and CI/CD.</li></ul> 


Support we will provide
<ul>
<li>A vibrant team to bounce ideas off and to support you with specialised knowledge (technical, stats/data science or business processes)</li>
<li>Mentoring from Data Science Managers</li>
<li>Automation and orchestration support from our integrated engineering and product teams within Nectar360</li>
<li>Technical and non-technical training and regular hackathons, learning days and knowledge sharing sessions.</li></ul> 


We are committed to being a truly inclusive retailer so you&rsquo;ll be welcomed whoever you are and wherever you work. Around here, there&rsquo;s always the chance to try something new &mdash; whether that&rsquo;s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we&rsquo;ll also offer you an amazing range of benefits. Please see www.sainsburys.jobs for details. 


#DataAndAnalytics

#DataScience

#LI-CM1
</div></div><div><div>We are committed to being a truly inclusive retailer so you&rsquo;ll be welcomed whoever you are and wherever you work. Around here, there&rsquo;s always the chance to try something new &mdash; whether that&rsquo;s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we&rsquo;ll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 20% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance, and you can buy up to an additional week's holiday, and we provide private healthcare. We also offer other benefits that will help your money go further such as season ticket loans, interest free car loan of up to &pound;10k, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an Employee Assistance Programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks&rsquo; pay for maternity or adoption leave and up to 4 weeks&rsquo; pay for paternity leave. Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply).&quot;</div></div></div>

Huntington Bank

<div><h1 class="jobSectionHeader">Description
</h1>Summary:
The Senior Data Scientist contributes to building and developing the organization&rsquo;s data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision-making processes.
Duties and Responsibilities:
<ul><li>Performs advanced analytics methods to extract value from business data.
</li><li>Performs large-scale experimentation and build data-driven models to answer business questions.
</li><li>Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence.
</li><li>Determines requirements that will be used to train and evolve deep learning models and algorithms.
</li><li>Articulates a vision and roadmap for the exploitation of data as a valued corporate asset.
</li><li>Influences product teams through presentation of data-based recommendations.
</li><li>Evangelizes best practices to analytics and products teams.
</li><li>Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring.
</li><li>Performs other duties as assigned.
</li></ul>Basic Qualifications:
<ul><li>Master&rsquo;s degree in computer science, statistics or economics
</li><li>3+ years of work and/or educational experience in machine learning or cloud computing, experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques.
</li></ul>Preferred Qualifications:
<ul><li>Up-to-date knowledge of machine learning and data analytics tools and techniques
</li><li>Strong knowledge in predictive modeling methodology
</li><li>Experienced at leveraging both structured and unstructured data sources
</li><li>Willingness and ability to learn new technologies on the job
</li><li>Demonstrated ability to communicate complex results to technical and non-technical audiences
</li><li>Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
</li><li>Strategic, intellectually curious thinker with focus on outcomes
</li><li>Professional image with the ability to form relationships across functions
</li><li>Strong experience with R/RStudio, Python, SAS, SQL, NoSQL
</li><li>Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
</li><li>Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
</li><li>Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
</li>Financial Services background 
<li>
</li></ul> 
Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible for overtime pay)
Yes
Workplace Type:
Office
Our Approach to Office Workplace Type
Certain positions outside our branch network may be eligible for a flexible work arrangement. We&rsquo;re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.
Huntington is an Equal Opportunity Employer. 
Note to Agency Recruiters: Huntington Bank will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington Bank colleagues, directly or indirectly, will be considered Huntington Bank property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.</div>

Elder Research Inc

<div>Senior Data Scientist
General Information
Requisition # 717
Locations USA-VA-Arlington
Posting Date 06/12/2026
Security Clearance Required - IRS MBI
Remote Type Hybrid
Time Type Full time
Description &amp; Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Scientist to join our team in Arlington, VA. This role is a remote role preferably in the Washington DC area.
As a Data Scientist, you will support the Internal Revenue Service&rsquo;s mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts.
In this role, you will develop, test, and deploy predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax records and related datasets. You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication.
Responsibilities include but are not limited to:
<ul><li>Prior programming experience, preferably in Python or R, including data exploration, feature engineering, model development, and writing modular, reusable, well-documented code within an iterative development process that includes peer review and collaboration</li>
<li>Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, statistical evaluation, and working with Markdown for technical documentation</li>
<li>Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data science&ndash;driven solutions in support of assessments, gap analyses, and actionable recommendations for IRS stakeholders</li>
<li>Design, develop, test, validate, and implement quantitative and qualitative data science solutions and predictive risk models (including audit selection, refund review, and fraud prevention initiatives) that are modular, maintainable, adaptable to evolving government and regulatory requirements, and supported by robustness, sensitivity, and significance testing to ensure defensible and explainable results</li>
<li>Apply statistical and machine learning techniques (supervised and unsupervised) to anomaly detection, fraud identification, and non-compliance risk scoring to help prioritize cases based on compliance risk, fraud indicators, and business impact</li>
<li>Collaborate with clients, subject matter experts, and cross-functional teams to refine problem statements, requirements, and analytical approaches, while demonstrating the ability to work independently in a collaborative, fast-paced environment</li>
<li>Prepare and deliver technical and non-technical briefings, reports, and presentations to audiences with varying levels of analytical sophistication, translating business and compliance needs into technical solutions with strong interpersonal, written, and verbal communication skills</li>
</ul>
Minimum Qualifications:
<ul><li>Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences</li>
<li>5-10+ years of experience in data science, analytics, or a related technical field</li>
<li>Experience using version control systems (e.g., Git) and collaborative development practices</li>
<li>Strong understanding of relational databases and SQL</li>
<li>Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone</li>
<li>Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges</li>
<li>Willingness to travel and work on-site at client locations as required by project needs</li>
</ul>
Preferred Qualifications:
<ul><li>Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting; and understanding of the data analytics lifecycle (e.g., CRISP-DM)</li>
<li>Experience with PySpark, Unity Catalog, and Jobs in Databricks, with familiarity using platforms and tools such as Databricks and AWS</li>
<li>Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes, as well as graph analytics and network analysis to identify relationships, fraud rings, or interconnected entities</li>
<li>Experience with containerization and environment management (e.g., venv, conda)</li>
<li>Experience operating in secure or remote government environments, including use of bash and command-line tools</li>
</ul>
Clearance Requirements:
<ul><li>Must currently possess an IRS Public Trust clearance with Full Background Investigation</li>
</ul>
Physical Requirements:
<ul><li>Must be able to remain in a stationary position 50%</li>
<li>Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.</li>
<li>Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situation</li>
</ul>
About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.</div>

InterVenn Biosciences

<div>At InterVenn, our technology enables and empowers the understanding of glycoproteomics, a new clinical layer of biology beyond the genome, using a simple blood draw. InterVenn&rsquo;s powerful solutions will broaden humankind&rsquo;s perception and interpretation of diseases like cancer. We look forward to having new members join our team who have diverse perspectives and backgrounds, challenge the status quo, and are solution oriented. 
We are seeking a creative, methodologically rigorous Senior Data Scientist to push the frontier of how we research and build classifiers from glycoproteomic data. This is a research-forward individual contributor role for someone who reaches across the full breadth of modern statistical and AI methods &mdash; classical ML, deep learning, foundation models for biology, generative approaches, and whatever the literature surfaces next &mdash; and is energized by open problems: new quantification and normalization schemes, novel feature engineering, multimodal model architectures, and the biological interpretation of model outputs. 
RESPONSIBILITIES
<ul>
<li>Design, prototype, and rigorously evaluate novel classifier architectures for clinical diagnostics across oncology indications</li>
<li>Lead exploratory research into new quantification, normalization, and feature engineering methods for high-dimensional glycoproteomic data</li>
<li>Bring a diverse modeling toolkit &mdash; classical statistical methods, tree-based ensembles, deep learning, probabilistic and Bayesian approaches, foundation models, graph neural networks, and generative AI &mdash; and choose the right tool for the problem based on evidence rather than habit or hype</li>
<li>Develop cross-validation, calibration, and uncertainty-quantification strategies that hold up to the realities of small clinical cohorts and high feature counts</li>
<li>Investigate and mitigate batch, cohort, and site effects so that models generalize from discovery to bridging to locked panels</li>
<li>Drive cross-indication synthesis &mdash; separate shared disease biology from indication-conditioned signal, and from nonspecific inflammatory or acute-phase axes</li>
<li>Build multimodal models that combine glycan/motif information, proteomic grounding, and clinical covariates rather than relying on protein-quantity signal alone</li>
<li>Translate emerging techniques from the ML, AI, and computational-biology literature into production-ready methods</li>
<li>Mentor junior data scientists and raise the methodological bar across the team</li></ul> 


QUALIFICATIONS
<ul>
<li>Ph.D. in Statistics, Computer Science, Computational Biology, Bioinformatics, or a related quantitative field, plus 6+ years of experience building predictive models on biological data in industry or academia; alternatively, an MS in a similar field with 8+ years of relevant experience</li>
<li>Demonstrated track record of methodological innovation &mdash; first-author publications, novel methods deployed in production, open-source contributions, or comparable evidence of original work</li>
<li>Deep proficiency in Python and/or R, including the modern ML stack (scikit-learn, PyTorch or TensorFlow, XGBoost/LightGBM, and similar)</li>
<li>Methodological breadth across paradigms &mdash; comfortable moving between classical statistics, tree-based ML, deep learning, and modern AI (transformers, graph neural networks, foundation models, generative methods) &mdash; and the judgment to argue rigorously for one approach over another</li>
<li>Strong statistical foundation: cross-validation strategy, regularization, calibration, uncertainty quantification, and handling of confounders and class imbalance</li>
<li>Hands-on experience building and validating classifiers on high-dimensional, low-sample-size biological data (proteomics, glycoproteomics, transcriptomics, or genomics)</li>
<li>Experience with batch-effect correction and normalization techniques, and a healthy skepticism about how those choices propagate into downstream performance estimates</li>
<li>Preference will be given to candidates with experience in multimodal modeling, interpretability methods, or foundation/representation-learning approaches for biological data</li>
<li>Familiarity with clinical diagnostic development &mdash; analytical and clinical validation, locking classifiers, and bridging studies &mdash; is a strong plus</li>
<li>Excellent written and verbal communication: able to explain novel methods clearly to wet-lab scientists, clinicians, and fellow statisticians alike</li>
<li>A genuine desire to impact patient lives and contribute to the broader scientific community</li></ul></div>

Search 5198+ Senior scientist jobs near you this July. New roles added regularly across leading industries. Apply today.

5198 senior scientist jobs Near Me

Senior Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist