applied data scientist

Mercedes-Benz Group

<div><div><div><div><div><div><div><div>T&auml;tigkeitsbereich:Forschung &amp; Entwicklung incl. Design</div></div><div><div>
Fachabteilung:Manufacturing Engineering</div></div><div><div>
Gesellschaft:Mercedes-Benz Research and Development India Private Limited</div></div><div><div>
Standort:Mercedes-Benz Research and Development India Private Limited, Bangalore</div></div><div><div>
Startdatum:sofort</div></div><div><div>
Ver&ouml;ffentlichungsdatum:23.02.2026</div></div><div><div>
Stellennummer:MER0003WPL</div></div><div><div>
Arbeitszeit:Vollzeit</div></div></div></div><div><div><div>
</div></div></div></div></div></div><div><div><div><div>Aufgaben<div><div><p>
Applied Data Scientist</p><p>
Job Description: Applied Data Scientist &ndash; AI/GenAI</p><p>
Experience: 5&ndash;7 Years<br>
Location: Bangalore</p><p>
Employment Type: Full-Time</p><p>
About MBRDI:</p><p>
Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&amp;D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility.</p><p>
About the Role</p><p>
We are looking for AI Enthusiasts&mdash;applied data scientists who thrive on learning, experimenting, and building the future of AI.<br>
This role is perfect for someone who is curious by nature, loves exploring new models and frameworks, and wants to grow into an expert in LLMs, AI Agents, and Multi-Agentic Systems.</p><p>
If you are someone who tinkers with tools even after work hours, reads about the latest breakthroughs, or enjoys turning ideas into prototypes&mdash;you will feel at home here.</p><p>
Key Responsibilities:</p><ul><li>
Explore and Build with LLMs</li></ul><ul><li>
Experiment with new LLMs (GPT, Llama, Claude, Mistral, etc.).</li><li>
Try out new prompting patterns, fine-tuning methods, and retrieval strategies.</li><li>
Turn ideas into prototypes&mdash;quickly and creatively.</li><li>
Play, Learn, and Create with Orchestrator Frameworks</li></ul><ul><li>
Work with LangChain, LlamaIndex, CrewAI, or anything new that emerges.</li><li>
Build multi-step workflows, context managers, memory modules, and tool-based actions.</li><li>
Try different agent architectures and communication patterns.</li><li>
Design Multi-Agentic Systems</li></ul><ul><li>
Build agents that collaborate, debate, plan, and execute tasks autonomously.</li><li>
Experiment with A2A (Agent-to-Agent) interaction workflows.</li><li>
Convert experimental agents into enterprise-ready pipelines.</li><li>
Grow into Enterprise-Scale AI</li></ul><ul><li>
Learn how to scale your prototypes into real applications.</li><li>
Use Azure services&mdash;Azure OpenAI, App Service, Functions, AKS, ADLS&mdash;to deploy AI workloads.</li><li>
Work with Git, CI/CD, microservices, Docker, and cloud best practices.</li><li>
Constant Learning &amp; Innovation</li></ul><ul><li>
Read research papers, follow AI trends, and test new libraries.</li><li>
Participate in internal hackathons and AI/GenAI forums.</li><li>
Regularly bring fresh ideas, PoCs, and innovative techniques to the team.</li></ul><p>
Required Skills</p><ul><li>
5&ndash;7 years of experience in data science / applied ML / AI engineering.</li><li>
Strong Python development background.</li><li>
Experience with Git/GitHub workflows.</li><li>
Practical exposure to LLMs, embeddings, and RAG pipelines.</li><li>
Hands-on experience with orchestrators (LangChain, LlamaIndex, CrewAI).</li><li>
Experience building AI Agents and/or multi-agent systems.</li><li>
Knowledge of cloud platforms (Azure preferred).</li><li>
Understanding of scalable and enterprise application development.</li></ul><p>
Good to Have :</p><ul><li>
MCP (Model Context Protocol) experimentation.</li><li>
Databricks, Delta Lake, or Spark exposure.</li><li>
Contributions to open-source AI tools or repos.</li><li>
Automation experience with n8n or agent frameworks.</li><li>
Experience with structured + unstructured data pipelines.</li></ul><p>
Why Join Us?</p><ul><li>Be part of a purpose-driven organization that&rsquo;s shaping the future of mobility.</li><li>Work on cutting-edge technologies and global projects.</li><li>Thrive in a collaborative, diverse, and inclusive environment.</li><li>Access world-class infrastructure and learning opportunities.</li></ul><p></p><p><br>
Equal Opportunity Statement:</p><p>
At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability.</p><p>
</p></div></div></div></div></div></div><div><div><div>Benefits</div><div></div><div><div><div>
Mitarbeiterrabatte m&ouml;glich
</div><div></div><div>Gesundheitsma&szlig;nahmen
</div><div></div><div>Mitarbeiterhandy m&ouml;glich
</div><div></div><div>Essenszulagen
</div><div></div><div>Betriebliche Altersversorgung
</div><div></div><div>Hybrides Arbeiten m&ouml;glich
</div><div></div><div>Mobilit&auml;tsangebote
</div><div></div><div>Mitarbeiter Events
</div><div></div><div>Coaching
</div><div></div><div>Flexible Arbeitszeit m&ouml;glich
</div><div></div><div>Kinderbetreuung
</div><div></div><div>Parkplatz
</div><div></div><div>Kantine, Caf&eacute;
</div><div></div><div>Gute Anbindung
</div><div></div><div>Barrierefreiheit
</div><div></div><div>Betriebsarzt
</div></div></div></div></div><div></div><div><div><div>KontaktMercedes-Benz Research and Development India Private Limited<div><div>
Plot No. 5-P, EPIP 1st Phase560066 BangaloreDetails zum Standort</div><div>
Kengal Rohith Keerthy E-Mail: rohith.kengal@mercedes-benz.com</div></div></div></div></div></div><div></div>

Applied Data Scientist

dunnhumby

<div><div><p>dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.</p>
<p>
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestl&eacute;, Unilever and Metro.</p></div><div></div><p><b><br>
We're looking for a Senior Applied Data Scientist who expects more from their career. </b>It's a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them.</p>
<p><b>
What we expect from you</b></p>
<ul>
<li>Degree in Statistics, Maths, Physics, Economics or similar field</li>
<li>Programming skills (Python and SQL are a must have)</li>
<li>5-7 years of experience required</li>
<li>Analytical Techniques and Technology</li>
<li>Logical thinking and problem solving</li>
<li>Strong communication skills</li>
<li>Stakeholder Management</li>
<li>Experience with and passion for connecting your work directly to the customer experience, making a real and tangible impact</li>
<li>Statistical Modelling and experience of applying data science into client problems.</li></ul><br>
<div>
</div><div><p><b>What you can expect from us</b></p>
<p>
We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.</p>
<p>
You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.</p>
<p>
And we don't just talk about diversity and inclusion. We live it every day &ndash; with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.</p>
<p><b>
Our approach to Flexible Working
</b></p><p>At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.</p>
<p>
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.</p>
<p>
For further information about how we collect and use your personal information please see our Privacy Notice which can be found <b>(here)</b></p></div></div>

Senior Applied Data Scientist

<div><div><p>dunnhumby is the global leader in Customer Data Science, partnering with the world's most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.</p>
<p>
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestl&eacute;, Unilever and Metro.</p></div><div></div><p><b><br>
Most companies try to meet expectations, dunnhumby exists to defy them. </b>Using big data, deep expertise and AI-driven platforms to decode the 21st century human experience &ndash; then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. For brands like Tesco, Coca-Cola, Procter &amp; Gamble and PepsiCo.</p>
<p><b>
We're looking for an Applied Data Scientist who expects more from their career. </b>It's a chance to apply your expertise to distil complex problems into compelling insights using the best of machine learning and human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside super-smart colleagues challenging and rewriting the rules, not just following them.</p>
<p><b>
What we expect from you</b></p>
<ul>
<li>6 months to 1 year of experience in data science or related field</li>
<li>Degree in Statistics, Maths, Physics, Economics or similar field</li>
<li>Programming skills (Python, SQL)</li>
<li>Logical thinking and problem solving</li>
<li>Statistical Modelling</li>
<li>Analytical Techniques and Technology</li>
<li>Strong communication skills</li></ul><br>
<p></p>
<p><b>
What you can expect from us</b></p>
<p>
 We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.</p>
<p>
You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.</p>
<p>
And we don't just talk about diversity and inclusion. We live it every day &ndash; with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One and dh Thrive as the living proof. Everyone's invited.</p><br>
<p></p>
<p><b>
Our approach to Flexible Working
</b></p><p>At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.</p>
<p>
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.</p>
<div>
<p>For further information about how we collect and use your personal information please see our Privacy Notice which can be found <b>(here)</b></p>
</div><div><p><b>
What you can expect from us</b></p>
<p>
We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.</p>
<p>
You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.</p>
<p>
And we don't just talk about diversity and inclusion. We live it every day &ndash; with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.</p>
<p><b>
Our approach to Flexible Working
</b></p><p>At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.</p>
<p>
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.</p>
<p>
For further information about how we collect and use your personal information please see our Privacy Notice which can be found <b>(here)</b></p></div></div>

Associate Applied Data Scientist

Microsoft

<div><b>Overview</b><p><br>
Our team builds the intelligence layer that powers Microsoft&rsquo;s next‑generation security detections&mdash;graph‑based reasoning, multi‑modal ML pipelines, campaign correlation, and threat‑centric analytics across the Defender ecosystem. As an Applied Scientist II , you will contribute hands‑on to the design, development, and deployment of ML and graph‑based algorithms that uncover sophisticated attacker behaviors and strengthen Microsoft&rsquo;s disruptive security outcomes.</p><p>
This role is ideal for individuals who bring strong ML foundations, curiosity, and a desire to work in a deep‑technical, mission‑driven environment focused on protecting customers at global scale.</p><p></p><b><br>
Responsibilities</b><br>
<h3 class="jobSectionHeader"><b>
Machine Learning &amp; Modeling</b></h3><ul><li>
Develop supervised and unsupervised ML models for anomaly detection, fraud/threat pattern discovery, alert classification, confidence scoring, and signal fidelity improvements.</li><li>
Build and maintain feature pipelines over multi‑modal security telemetry (identity, endpoint, network, cloud).</li><li>
Apply graph‑focused ML techniques (graph embeddings, GNNs, similarity scoring, relationship modeling).</li></ul><h3 class="jobSectionHeader"><b>
Graph Reasoning &amp; Analytics</b></h3><ul><li>
Contribute to graph construction logic, schema evolution, and ontology-driven enrichment for Verdict Net, Verdict Propagation, Campaign Graphs, and Vortex insights.</li><li>
Implement graph traversal, multi-hop reasoning, and cluster detection algorithms to surface hidden attack patterns.</li><li>
Participate in performance optimization and health management of large-scale threat graphs.</li></ul><h3 class="jobSectionHeader"><b>
Data Engineering &amp; Experimentation</b></h3><ul><li>
Analyze large, noisy, high‑dimensional security datasets using ADX/Kusto, Spark, and distributed compute platforms.</li><li>
Run A/B experiments, offline evaluations, and benchmark models to continually improve detection quality.</li><li>
Build high-quality research code and prototypes that transition smoothly to engineering teams for productionization.</li></ul><h3 class="jobSectionHeader"><b>
Cross-Functional Impact</b></h3><ul><li>
Collaborate with detection engineering, threat research, product teams and red teams to integrate ML outcomes into real-world protection experiences.</li><li>
Translate complex analytical insights into actionable improvements for detections, disruptions, and customer-facing intelligence.</li><li>
Participate in on-call data issue triage (signal quality, false positives, enrichment gaps) as applicable for DEX workflows.</li></ul><br>
<b>
Qualifications</b><br>
<ul><li>
Bachelor&rsquo;s degree in CS, Data Science, EE, Mathematics or related field <b>AND 4+ years</b> of hands-on DS/ML experience<br>
<b>OR</b> Master&rsquo;s degree <b>AND 1+ years</b> experience.</li><li>
Strong proficiency in <b>Python</b>, ML frameworks (PyTorch/TensorFlow), and data processing libraries.</li><li>
Experience with ML techniques such as: gradient-boosted models, supervised/unsupervised learning, embeddings, clustering, anomaly detection.</li><li>
Experience querying &amp; analyzing large datasets using <b>Kusto</b>, SQL, Spark, or equivalent data engines.</li><li>
Strong fundamentals in probability, statistics, and algorithmic thinking.</li><li>
Ability to write clean, reliable research code and communicate findings clearly.</li></ul><br>
<br>
<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Applied Data Scientist II

<div><b>Overview</b><p><br>
Our team builds the intelligence layer that powers Microsoft&rsquo;s next‑generation threat detection ecosystem&mdash;spanning Vortex, Threat Graph, Verdict Net, and campaign‑correlation workflows. We combine deep applied science, graph‑theoretic reasoning, large‑scale machine‑learning, and multi‑modal security analytics to uncover hidden attack patterns across identity, endpoint, network, and cloud. As part of a multidisciplinary organization, we design graph algorithms, develop ML models, operationalize high‑confidence security signals, and partner closely with detection engineering to translate research into customer‑impacting protections. Our work drives core advancements in attack‑path discovery, anomaly detection, graph construction, and threat‑hunting experiences across Microsoft Security.</p><b><br>
Responsibilities</b><br>
<ul><li><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><h3 class="jobSectionHeader"><b>
1. Machine Learning &amp; Data Science</b></h3><h3 class="jobSectionHeader"><b>
2. Graph Analytics &amp; Threat Reasoning</b></h3><h3 class="jobSectionHeader"><b>
3. Graph Database &amp; Platform Expertise</b></h3><h3 class="jobSectionHeader"><b>
4. Research &amp; Innovation</b></h3><ul><li>
Design, train, and deploy supervised/unsupervised ML models for:<ul><li>
anomaly detection</li><li>
attack pattern discovery</li><li>
similarity scoring</li></ul></li><li>
Build ML pipelines that operate on large‑scale, heterogeneous security telemetry.</li><li>
Develop graph embeddings, GNN models, clustering, and temporal sequence models to detect emerging threats.</li><li>
Build and optimize graph traversal algorithms for multi-hop attack path discovery.</li><li>
Correlate signals across identity, endpoint, network, and cloud domains.</li><li>
Analyze entities, edges, and temporal relationships to surface hidden attacker behaviors.</li><li>
Design/optimize graph schemas, ontologies, and semantic layers for threat detection.</li><li>
Work with graph-native DBs and query languages (e.g., GQL, ADX/Kusto).</li><li>
Partner with infra teams to scale graph workloads across customer data.</li><li>
Stay current with academic research and convert novel ML/graph techniques into practical security applications.</li><li>
Run experimentation cycles (A/B tests, offline evaluation, model validation) to optimize detection precision/recall.</li><li>
Discover new attack patterns using clustering, community detection, and probabilistic methods.<h3 class="jobSectionHeader"><b>
5</b><b>. Cross‑Functional Collaboration</b></h3><ul><li>
Partner with detection engineering, red teaming, and product teams to integrate ML/graph intelligence into protections.</li><li>
Translate complex graph/ML insights into actionable detection logic and SOC‑ready intelligence.</li><li>
Communicate findings to security architects and leadership through visualizations, dashboards, and well‑structured narratives.</li></ul></li></ul></li></ul><br>
<b>
Qualifications</b><p><b><br>
7+ years</b> of hands-on experience in applied ML, data science, or security analytics.</p><ul><li><ul><li>
Strong expertise in one or more of:<ul><li>
Graph algorithms, graph databases, GNNs</li><li>
Large‑scale ML pipelines</li><li>
Unsupervised/behavioral anomaly detection</li><li>
Statistical modeling, clustering, embeddings</li></ul></li><li>
Deep proficiency in Python, PyTorch/TensorFlow, and data processing frameworks.</li><li>
Experience working with large‑scale telemetry (security logs, identity signals, network events, etc.).</li><li>
Experience with distributed data systems and query languages (ADX/KQL, Spark, or similar).</li><li>
Strong problem‑solving skills with ability to work on ambiguous research problems.</li></ul></li></ul><br>
<br>
<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Target

<div>The pay range is $98,000.00 - $211,000.00<p></p><p>
Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.</p><p></p><p><b>
JOIN TARGET AS A SR DATA SCIENTIST &ndash; SEARCH (NLP, APPLIED ML)</b></p><p></p><p><b>
About us:</b></p><p>
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.</p><p></p><p>
A role with Target Data Sciences means the chance to help develop and manage state of the art predictive algorithms that use data to automate and optimize decisions at scale. Whether you join our Data Sciences or Machine Learning teams, you&rsquo;ll be challenged to harness Target&rsquo;s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain, Demand Forecasting, Search and Personalization rely on.</p><p></p><p><br>
Every Data Scientist on Target&rsquo;s Data Sciences team can expect modeling and data science, software/product development of highly performant code for Model Performance to elevate Target&rsquo;s culture and apply retail domain knowledge.</p><p></p><p>
The Target Search and Browse Data Science team builds the core relevance engine and Data Science products that power Target&rsquo;s digital experience. As a Sr Data Scientist on this team &ndash; you&rsquo;ll work with business partners to provide solutions for business problems in a fast-paced and global environment. You&rsquo;ll have the opportunity to design quality, flexible and performant Data Science systems and services at scale. You&rsquo;ll also architect Data Science solutions that capture, process and mine huge datasets in the retail industry. We&rsquo;ll also promote innovative thinking as well as the opportunity to utilize cutting-edge machine learning algorithms and NLP techniques to improve our Mobile and Web Search systems at Target!</p><p></p><p>
As a Sr Data Scientist, you will influence by interacting within the Data Sciences team and with Product teams, perform within the scale and scope of your role by implementing solutions, and contribute to Data Sciences&rsquo; and Target&rsquo;s culture by modeling the culture. Through your understanding of the foundations and working principles of machine learning algorithms, linear algebra, probability theory, statistics, and optimization theory, you will perform data exploration and analysis (look at distributions, find anomalies, create simple visualizations, etc.) and implement algorithmic solution given specifications, while adhering to best practices in model development. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable &amp; tested codebase with relevant documentation.</p><p></p><p>
Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.</p><p></p><p><b>
About you:</b></p><ul><li>
PhD or MS in Computer Science, Information Technology, Applied Mathematics, Physics or relevant industry work experience in a quantitative field</li><li>
Exceptional coding/programming in Python or Java with advanced technical problem-solving skills</li><li>
3 plus year of experience implementing end to end ML models and algorithms into production</li><li>
Demonstrated experience implementing search indexing, ranking, information retrieval, query understanding or recommendation / recommender systems</li><li>
Experience deploying Machine Learning algorithms into production environments</li><li>
Experience with ML Ops (VetexAI, Bigquery, etc.) and various testing frameworks and containerization (Docker, Kubernetes, etc.)</li><li>
Experience querying large databases with SQL, HQL or some variations</li><li>
Excellent interpersonal and communication skills that can partner with a global teams</li><li>
Constant learner mentality that stays on the leading edge of search, query understanding, applied ML, LLM&rsquo;s and NLP advancements</li></ul><p>
This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target&rsquo;s needs. A Hybrid/Flex for Your Day work arrangement means the team member&rsquo;s core role will need to be performed both onsite at the Target HQ Sunnyvale or MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota</p><p></p>
Target will consider for employment qualified applicants with criminal histories in a manner consistent with the San Francisco and City of Los Angeles Fair Chance Ordinances.<p></p><p><b>
Benefits Eligibility</b></p>
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D<p></p><p><b>
Americans with Disabilities Act (ADA)</b></p><p></p><p>
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.</p><p></p>
Application deadline is : 03/29/2026</div>

Sr Applied Data Scientist - Search (NLP, Query Understanding, LLM's)

TheSoul Group

<div><p><b>TheSoul Group</b> is a leading creator business platform positioned at the heart of the creator economy. Our original videos, animations, and editorial stories inspire audiences in <b>21 languages</b>, across <b>60 platforms</b> and <b>20 websites</b>.</p><p>
Together with our network of <b>15,000 talented creators</b>, we reach over <b>5 billion followers</b> and generate more than <b>100 billion monthly views on social media</b>.
</p><p>As a global powerhouse in digital media, we drive viral success for creators and brands worldwide through a wide range of services, leveraging our expertise in content distribution, localization, and social media management. We&rsquo;re the creators behind global phenomena such as <b>5-Minute Crafts</b> and <b>BrightSide</b>, and we continue to expand our influence in the creator economy through strategic acquisitions like <b>Mediacube</b> and <b>Underscore Talent</b>.</p><p>
We&rsquo;re a dynamic, remote-first global team, fostering award-winning creativity, a no-red-tape approach, and great vibes!</p><p>
We are seeking an exceptional Applied AI Data Scientist to join our team at the forefront of content intelligence. You will explore the world&rsquo;s largest dataset on content performance&mdash;over <b>100 billion views per month across 50+ platforms</b>&mdash;to uncover hidden insights and drive measurable impact. Your work will power AI agents, automate analytics, and directly shape high-level business strategy, reporting to the CEO. This is a rare opportunity to combine advanced AI research with real-world product and business influence.</p>
Responsibilities<ul><li>
Analyze and interpret metrics like CTR, retention, engagement, and user behavior at an unprecedented scale (100B+ views/month).
</li><li>Build robust and reproducible analytical workflows to uncover actionable insights.
</li><li>Validate and optimize measurement methods to ensure accuracy across platforms.
</li><li>Identify non-obvious correlations, causal relationships, and latent patterns in large, complex datasets.
</li><li>Translate statistical findings into strategic recommendations for content, product, and growth teams.
</li><li>Challenge assumptions and propose innovative analytical frameworks.
</li><li>Design, build, and maintain AI agents that automate routine and complex analytical processes.
</li><li>Experiment with LLMs, reinforcement learning, and other generative AI techniques to accelerate insights.
</li><li>Deploy AI solutions in production to improve decision-making speed and accuracy.
</li><li>Develop end-to-end machine learning pipelines for large-scale data processing.
</li><li>Ensure code quality, reproducibility, and scalability for production environments.
</li><li>Continuously monitor, test, and optimize ML/DL models for performance and robustness.
</li><li>Present findings and strategic recommendations directly to the CEO.
</li><li>Influence high-level business and content strategy with data-driven insights.
</li>Communicate complex technical results in a clear, actionable manner for non-technical stakeholders.<br>
<li>
</li></ul><br>
<br>
<b>Requirements</b><br>
<ul><li>
Professional experience as a Data Scientist, Machine Learning Engineer, or Applied AI researcher, with a track record of deploying models or building analytical systems in production.</li><li>
Russian language fluency and strong English language proficiency for reporting, collaboration, and presenting insights.</li><li>
Proven top-tier competitive coding credentials: Kaggle Master+, ICPC medalist, IOI medalist, or Codeforces IM+.</li><li>
Strong programming skills with production-ready Python and SQL experience.</li><li>
Deep understanding of machine learning and deep learning, beyond standard boosting models.</li><li>
Intellectual curiosity and ownership mentality&mdash;you take full responsibility for problem-solving end-to-end.</li><li>
Experience turning complex datasets into actionable insights for business or product strategy.</li></ul><b>
Nice-to-have</b><ul><li>
Experience working with large-scale datasets (PB-scale) and distributed systems.</li><li>
Hands-on experience building or deploying LLMs, AI agents, or advanced automation systems.</li><li>
Knowledge of content, media, or social platform analytics.</li></ul><br>
<b>
Benefits</b><br>
<ul><li>
<b>Competitive Salary</b>: We respect the candidate&rsquo;s competence, so we discuss the salary individually and offer a truly competitive one, along with performance-based bonuses.</li><li>
<b>Flexible Work Options</b>: Work from home, your favorite caf&eacute;, or anywhere that sparks your creativity. Enjoy the freedom with remote work options that fit your lifestyle.</li><li>
<b>Creative Vibes and an International Team</b>: 80% of our employees are creators working from 70+ countries, producing awesome content for billions of followers worldwide.</li><li>
<b>Talent Growth</b>: Engage in transparent knowledge sharing within the company and our internal academy, offering 470+ courses&mdash;learn, teach, or both, and shape your path to expertise.</li><li>
<b>Tech-savvy Culture</b>: An ecosystem that sparks innovation, embraces the latest tools, promotes transparent task management, and empowers flexible collaboration&mdash;no time constraints or meetings, just results!</li><li>
<b>Seamless Operations:</b> An ecosystem that fuels new ideas, promotes transparent task management, empowers flexible collaboration without time constraints or meetings&mdash;no red tape, just results!<br>
</li></ul><p>We appreciate your interest in our job opportunities and our company. Our team carefully evaluates each application to identify the most suitable candidates for the role. Due to the high volume of applications received, we may not be able to respond to every applicant. However, if your qualifications align with our requirements, we will contact you to discuss the next steps in the selection process.</p></div>

Applied AI Data Scientist (CEO Office)

Search 10000+ Applied data scientist jobs near you this March. New roles added regularly across leading industries. Apply today.

10000 applied data scientist jobs Near Me

Applied Data Scientist

Senior Applied Data Scientist

Associate Applied Data Scientist

Applied Data Scientist II

Senior Applied Data Scientist

Sr Applied Data Scientist - Search (NLP, Query Understanding, LLM's)

Applied AI Data Scientist (CEO Office)