{"id":4043028,"url":"https://alion.io/job/ibm-data-scientist-3","title":"Data Scientist","company":{"id":86,"name":"IBM","domain":"ibm.com","url":"https://alion.io/company/ibm","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"IBM Careers","truth_index":{"grade":"A","score":99,"open_postings":73,"ghost_share":0.014,"stale_share":0.164,"repost_share":0.068,"time_to_fill_p50_days":15,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bois-Colombes, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Cassandra","optional":false},{"name":"CI/CD","optional":false},{"name":"Dask","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"Jenkins","optional":false},{"name":"Jupyter Notebook","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"MySQL","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Plotly","optional":false},{"name":"Podman","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"Seaborn","optional":false},{"name":"SPSS","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-10T22:46:15Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T22:46:15Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences. As a Data Scientist with Advanced Analytics skills, you will leverage deep data and analytics expertise with strong business acumen to address business challenges. You will utilize data preparation, analysis, and predictive modeling to forecast trends and suggest optimizations for improved business outcomes. Your primary responsibilities will include:\nAnalyze and Interpret Data: Utilize mathematical optimization, discrete-event simulation, and predictive analytics to extract insights from diverse data types and structures, ensuring data-driven decision-making and business optimization.\nDevelop Predictive Models: Apply proficiency in programming languages, particularly Python, to design and implement predictive models that forecast trends and suggest optimizations for improved business outcomes.\nManipulate and Visualize Data: Employ expertise in data manipulation using tools such as Pandas, NumPy, and Dask, and data visualization with Matplotlib, Seaborn, and Plotly to effectively communicate insights to stakeholders.\nManage and Analyze Databases: Utilize experience in managing databases like SQL, MongoDB, Cassandra, PostgreSQL, and MySQL to store, retrieve, and analyze large datasets.\nImplement Optimization Solutions: Apply knowledge of optimization tools like IBM CPLEX and Gurobi to develop and implement optimization solutions that drive business value.\nData Analysis and Modeling: Exposure to data preparation, analysis, and predictive modeling to forecast trends and suggest optimizations for improved business outcomes.\nProgramming Languages: Exposure to programming languages, particularly Python, and development environments like PyCharm, VS Code, and Jupyter Notebooks.\nData Manipulation and Visualization: Experience working with data manipulation tools such as Pandas, NumPy, and Dask, and data visualization with Matplotlib, Seaborn, and Plotly.\nDatabase Management: Exposure to managing databases like SQL, MongoDB, Cassandra, PostgreSQL, and MySQL to store, retrieve, and analyze large datasets.\nOptimization Tools: Experience working with optimization tools like IBM CPLEX and Gurobi to develop and implement optimization solutions.\nMachine Learning Knowledge: Exposure to machine learning concepts and techniques, including statistical modeling and custom models in applications like supply chain management, pricing, risk assessment, and fraud detection.\nStatistical Analysis Skills: Familiarity with statistical analysis tools like SPSS, SAS, and R, in addition to Python, to analyze and interpret complex data sets.\nVersion Control Systems: Experience working with version control systems such as Git, GitHub, and GitLab, and continuous integration and deployment (CI/CD) tools like Docker, Podman, and Jenkins. Une carrière au sein d’IBM Consulting repose sur des relations durables avec les clients et une collaboration étroite à l’échelle mondiale. Vous travaillerez avec des entreprises de premier plan, issues de nombreux secteurs d’activité, afin de les accompagner dans leur transformation vers le cloud hybride et l’intelligence artificielle.Grâce au soutien de nos partenaires stratégiques, à la puissance des technologies IBM et à l’expertise de Red Hat, vous disposerez des outils et des ressources nécessaires pour générer un impact concret, accélérer l’innovation et créer de la valeur durable pour nos clients.Chez IBM Consulting, la curiosité est un moteur de réussite. Vous serez encouragé à remettre en question les approches établies, à explorer de nouvelles idées et à concevoir des solutions innovantes produisant des résultats concrets. Notre culture, fondée sur le développement, l’empathie et l’apprentissage continu, soutient votre évolution professionnelle sur le long terme tout en valorisant vos compétences et votre parcours uniques. Rejoignez IBM Consulting et contribuez à façonner l’avenir de la transformation numérique pour les plus grandes organisations du monde. En tant que Data Scientist spécialisé(e) en analyse avancée, vous mettrez à profit votre expertise approfondie en données et en analyse, associée à un sens aigu des enjeux métiers, pour relever les défis opérationnels. Vous exploiterez la préparation, l’analyse et la modélisation prédictive des données afin d’anticiper les tendances et proposer des optimisations pour améliorer les résultats métiers. Vos principales responsabilités seront les suivantes:\nAnalyse et interprétation des données: Vous utiliserez l’optimisation mathématique, la simulation d’événements discrets et l’analyse prédictive pour extraire des insights à partir de données variées et de structures complexes, garantissant ainsi une prise de décision fondée sur les données et l’optimisation des processus métiers.\nDéveloppement de modèles prédictifs: Vous appliquerez votre maîtrise des langages de programmation, notamment Python, pour concevoir et déployer des modèles prédictifs capables d’anticiper les tendances et de proposer des optimisations afin d’améliorer les résultats métiers.\nManipulation et visualisation des données: Vous exploiterez votre expertise en manipulation de données à l’aide d’outils tels que Pandas, NumPy et Dask, ainsi qu’en visualisation avec Matplotlib, Seaborn et Plotly, pour communiquer efficacement les insights aux parties prenantes.\nGestion et analyse de bases de données: Vous tirerez parti de votre expérience dans la gestion de bases de données comme SQL, MongoDB, Cassandra, PostgreSQL et MySQL pour stocker, extraire et analyser de grands ensembles de données.\nMise en œuvre de solutions d’optimisation: Vous appliquerez vos connaissances des outils d’optimisation tels qu’IBM CPLEX et Gurobi pour développer et déployer des solutions d’optimisation génératrices de valeur métier. Maîtrise de l'analyse et de la modélisation des données: Connaissance de la préparation, de l'analyse et de la modélisation prédictive des données pour anticiper les tendances et proposer des optimisations en vue d'améliorer les résultats métiers.\nConnaissance des langages de programmation: Connaissance des langages de programmation, en particulier Python, et des environnements de développement tels que PyCharm, VS Code et Jupyter Notebooks.\nCompétence en manipulation et visualisation des données: Expérience dans l'utilisation d'outils de manipulation de données comme Pandas, NumPy et Dask, ainsi que dans la visualisation de données avec Matplotlib, Seaborn et Plotly.\nCapacité en gestion de bases de données: Connaissance de la gestion de bases de données telles que SQL, MongoDB, Cassandra, PostgreSQL et MySQL pour stocker, extraire et analyser de grands ensembles de données.\nDéveloppement d'outils d'optimisation: Expérience dans l'utilisation d'outils d'optimisation comme IBM CPLEX et Gurobi pour concevoir et déployer des solutions d'optimisation. Maîtrise des concepts de Machine Learning: Connaissance des principes et techniques du machine learning, notamment la modélisation statistique et les modèles personnalisés appliqués à des domaines tels que la gestion de la chaîne logistique, la tarification, l’évaluation des risques et la détection des fraudes.\nConnaissance des outils d’analyse statistique: Familiarité avec les outils d’analyse statistique comme SPSS, SAS et R, en complément de Python, pour analyser et interpréter des ensembles de données complexes.\nCompétence en systèmes de contrôle de version: Expérience dans l’utilisation de systèmes de contrôle de version tels que Git, GitHub et GitLab, ainsi que des outils d’intégration et de déploiement continus (CI/CD) comme Docker, Podman et Jenkins. France Data & Analytics Hybrid Entry Level Bois Colombes Cedex, FR Bois Colombes Cedex (0048) Compagnie IBM France, S.A.S. Continuous Integration Data Analysis Data Visualization Databases Docker Fraud Detection Git Github Jenkins Machine Learning Modeling MongoDB MySQL Optimization PostgreSQL Predictive Modeling Python R Programming Language Risk Assessment Statistical Product and Service Solutions Structured Query Language Statistical Modeling Supply Chain Management Programming Languages Data Preparation Jupyter Notebook Pricing Version Control Database Management Continuous Integration/Continuous Delivery GitLab NumPy Pandas Library Apache Cassandra PyCharm Complex Data Statistical Analysis Statistical Analysis System Programming Language Microsoft Visual Studio Code Gurobi Matplotlib Plotly Seaborn","description_format":"text","description_chars":9050,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"French","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["LLM & Generative AI","Cloud Platforms (IaaS & PaaS)","Servers & Data Center Hardware","Quantum Computing Hardware"],"lifecycle":[{"event":"open","at":"2026-11-10T22:46:15Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":15,"reasons":["conf:1","win:early","comp:junior,brand"],"computed_at":"2026-11-11T00:15:27Z"},"pay":null,"html_url":"https://alion.io/job/ibm-data-scientist-3","json_url":"https://alion.io/job/ibm-data-scientist-3.json","meta":{"generated_at":"2026-11-11T00:15:27Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":7,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":86},"rest":"https://alion.io/mcp/rest/get_company?id=86"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fibm-data-scientist-3"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fibm-data-scientist-3"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fibm-data-scientist-3"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ibm-data-scientist-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fibm-data-scientist-3"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4043028}},{"tool":"search_jobs","arguments":{"company":"ibm.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4043028},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}