• Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions. • Design and develop machine learning models and analytical approaches to support search, discovery, and insight generation across structured and unstructured data. • Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis. • Leverage document-based data (e.g., OCR/ICR outputs, metadata, and free text) to extract insights and support downstream analytics and search solutions. • Collaborate with data engineers to integrate models into production environments, including Palantir Foundry, Databricks, and AWS-based platforms. • Develop model evaluation frameworks, confidence scoring, and explainability approaches to ensure transparency and usability of AI outputs. • Support development of analytics, reporting, and dashboards to drive operational insights and decision-making. • Operate within an Agile delivery model, contributing to sprint planning, experimentation, and iterative solution delivery. • Communicate findings and recommendations clearly to both technical and non-technical audiences, including client stakeholders. • Contribute to solution design, proposal support, and thought leadership in AI/analytics capabilities.

Data Scientist Armonk, New York, United StatesProfessional Job ID 110292 City / Township / Village Armonk State / Province New York Country United States Work arrangement Hybrid Employment type Regular Contract type Regular Projected Minimum Salary per year 170,300.00 Projected Maximum Salary per year 220,100.00 Position type Professional Shift General (daytime) Job Description: Your role and responsibilities Data Scientist, IBM Corporation, Armonk, NY and various unanticipated client sites throughout the US (Up to 100% telecommuting permitted): - Develop AI solutions to address client business problems by leveraging data science expertise and strong business acumen. - Develop ingestion scripts for aggregating and analyzing large quantities of data by building custom data flow pipelines and data processing modules. - Create and use advanced machine learning algorithms and statistics such as regression, simulation, scenario analysis, modeling, clustering, decision trees, and neural networks. - Design and implement AI-powered solutions-leveraging Generative and Agentic AI-to enhance automation, optimize decision processes, and uncover new opportunities for innovation and business value. - Perform exploratory data analysis on structured and unstructured data from client and external sources to uncover business insights. - Design and develop advanced analytical solutions using state-of-the-art analytical tools and services. - Analyze and interpret data conclusions using programming languages such as R and Python to enhance outcomes with advanced modeling and optimization techniques. - Present analytical findings through visualizations that highlight key business insights. - Document and communicate analysis results to stakeholders through reports, presentations, and other deliverables. - Identify client business challenges and recommend analytical approaches that can be packaged into solutions to drive company revenue. - Utilize: R, Python, SQL, Torch, MATLAB, SPSS, TensorFlow, NumPy. Required: Master's degree or equivalent in Computer Science, Information Sciences/Technology, Management Information Systems, Data Science or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master's degree) and one (1) year of experience as a Data Scientist, Engineer or related. One (1) year of experience must include utilizing R, Python, SQL, Torch, MATLAB, SPSS, TensorFlow, NumPy. $170300 to $220100 per year. Full time. AV214. Required education Master's Degree Required technical and professional expertise Master's degree or equivalent in Computer Science, Information Sciences/Technology, Management Information Systems, Data Science or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master's degree) and one (1) year of experience as a Data Scientist, Engineer or related. One (1) year of experience must include utilizing R, Python, SQL, Torch, MATLAB, SPSS, TensorFlow, NumPy. YOUR LIFE @ IBM In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better. Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background. Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do. Are you ready to be an IBMer? ABOUT IBM IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world. Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world. IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status. OTHER RELEVANT JOB DETAILS IBM offers a competitive and comprehensive benefits program. Eligible employees may have access to: - Healthcare benefits including medical & prescription drug coverage, dental, vision, and mental health & well being - Financial programs such as 401(k), the IBM Employee Stock Purchase Plan, financial counseling, life insurance, short & long- term disability coverage, and opportunities for performance based salary incentive programs - Generous paid time off including 12 holidays, minimum 56 hours sick time, 120 hours vacation, 12 weeks parental bonding leave in accordance with IBM Policy, and other Paid Care Leave programs. IBM also offers paid family leave benefits to eligible employees where required by applicable law - Training and educational resources on our personalized, AI-driven learning platform where IBMers can grow skills and obtain industry-recognized certifications to achieve their career goals - Diverse and inclusive employee resource groups, giving & volunteer opportunities, and discounts on retail products, services & experiences We consider qualified applicants with criminal histories, consistent with applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 21 days from this date or less if not needed to fill the role. The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

• Lead experimentation and model development for AI/ML solutions in legal products • Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies) • Define agentic workflows and reasoning strategies for multi-step legal tasks • Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality) • Analyze large-scale legal datasets to extract insights and improve model performance • Establish best practices for model evaluation, validation, and benchmarking • Translate experimental results into clear product recommendations and business impact • Collaborate with product, legal experts, and engineers to align solutions with user needs • Mentor team members and provide technical leadership in data science and AI

Jesteśmy częścią międzynarodowej organizacji notowanej na NASDAQ w Sztokholmie, działającej w 11 krajach. W Polsce mamy pełną autonomię. Sami wybieramy technologie, procesy i sposób pracy, zachowując najwyższe standardy. Realizujemy różnorodne projekty IT w Polsce i globalnie, w wielu obszarach i technologiach, co pozwala rozwijać kompetencje i zdobywać doświadczenie dopasowane do Twoich ambicji. Naszą współpracę opieramy na filozofii CARE. Rozumiemy ją jako odpowiedzialny dobór projektów, transparentną współpracę oraz długofalowe podejście do rozwoju. Dołącz do nas jako Data Scientist Rozwijaj się w środowisku, które myśli o Twoim rozwoju tak samo, jak Ty. Twoje zadania: - Projektowanie i rozwijanie modeli Machine Learning ukierunkowanych na CTR, CVR oraz ROAS, stanowiących kluczowy element logiki biddingowej i optymalizacji wyników. - Tworzenie zaawansowanych modeli integrujących różnorodne sygnały danych, obejmujące cechy użytkownika, produktu, wydawcy oraz placementu. - Optymalizacja wydajności modeli w celu spełnienia wymagań środowisk o wysokiej przepustowości i niskich opóźnieniach. - Rozwój modeli do Dynamic Content Optimization w ramach platformy DSP, w tym optymalizacja doboru produktów w scenariuszach retargetingowych. Wymagania: - Musisz mieszkać i/lub posiadać uprawnienia do pracy w Polsce. - Biegłość w pracy z PyTorch lub TensorFlow, a także Pandas i NumPy. - Ekspercka znajomość SQL (mile widziana znajomość analitycznego SQL). - Szerokie doświadczenie z infrastrukturą chmurową, preferencyjnie Google Cloud Platform (Vertex AI, Vertex Pipelines). - Udokumentowane doświadczenie w projektowaniu i trenowaniu głębokich sieci neuronowych. - Odpowiednie wykształcenie kierunkowe lub bogate doświadczenie zawodowe w obszarze STEM (np. informatyka – specjalizacja Data Science, matematyka, statystyka matematyczna, metody ilościowe lub fizyka). - Solidne podstawy inżynieryjne, w tym umiejętność pisania produkcyjnego, testowalnego i dobrze udokumentowanego kodu w Pythonie oraz znajomość praktyk CI/CD. Co oferujemy? • Pracę w skandynawskiej kulturze opartej o logikę i dialog. • Benefity w obszarze zdrowia i sportu dopasowane do potrzeb. • Speed Coaching, krótkie sesje, które dają nowe perspektywy i rozwiązania. • Treningi sportowe, wewnętrzna drużyna, wspólne zawody. • Imprezy integracyjne i spotkania rozwojowe. Aplikuj już dziś!