{"id":41109,"url":"https://alion.io/job/addepto-senior-data-scientist-tech-lead-2","title":"Senior Data Scientist / Tech Lead","company":{"id":2713,"name":"Addepto","domain":"addepto.com","url":"https://alion.io/company/addepto","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":{"grade":"C","score":63,"open_postings":16,"ghost_share":0.625,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":["PL"],"hiring_countries_total":1,"salary":{"min":19320,"max":28560,"currency":"PLN","period":"month","gross":null,"usd_annual":91620},"salary_estimate":null,"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Hadoop","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Scrum","optional":false},{"name":"Semantic Search","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Accelerate","optional":true}],"status":"live","first_seen_at":"2026-08-05T12:52:42Z","employer_posted_date":null,"last_verified_at":"2026-08-05T12:52:42Z","board_verified":false,"closed_at":null,"days_open":57,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":57},"description":"Addepto is a leading AI consulting (\n\nhttps://addepto.com/ai-consulting/\n) and data engineering (\n\nhttps://addepto.com/data-engineering-services/\n) company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.\nThe company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own \n\nproduct - ContextClue\n - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by \n\nForbes as one of the top 10 AI consulting companies worldwide\n.\nAs part of \n\nKMS Technology\n, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities-enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.\nAs a Senior\nData Scientist / Tech Lead, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:\nAI optimization engine for airport operation management. This project involves creating an AI-driven optimization engine to streamline airport operations, using real-time data from sources like radar, air traffic, and passenger information.\n\nAI recommendation engine for the leading innovation company. This project involves creation of AWS-powered solutions to provide domain-specific recommendations by employing sophisticated LLMs.\n\nIn this position, you will:\nLead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives.\n\nLead the design of AI solution architectures that meet complex business goals and drive innovation.\n\nResearch, test and select the best tools and technologies as well as AI solutions to meet the business requirements.\n\nUnderstand clients' needs and translate business problems into data science problems.\n\nArchitect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security.\n\nCoordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications.\n\nPresent findings and recommendations clearly and concisely to stakeholders.\n\nPrioritize, and control tasks within an Agile/Scrum framework, ensuring timely delivery.\n\nWhat you'll need to succeed in this role:\n6+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, GenAI, LLMs, Deep Learning).\n\nProficiency in developing ML algorithms from scratch to production deployment.\n\nStrong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch / Tensorflow).\n\nProven expertise in deploying solutions in cloud environments (AWS or Azure).\n\nKnowledge in applying LLMs (AI agents, semantic search, prompt engineering, multimodal embeddings, RAG).\n\nHigh proficiency in English (C1 level).\n\nExcellent communication skills and consulting experience with direct interaction with clients.\n\nWorking experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks).\n\nGood knowledge of CI / CD principles (GitHub and GitHub Actions).\n\nFamiliarity with MLOps practices, Kubernetes and Docker.\n\nMaster's or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field.\n\nExperience with Big Data technologies like Spark, Hadoop, and Kafka is a plus.\n\nDiscover our perks and benefits:\nWork in a supportive team of passionate enthusiasts of AI & Big Data.\n\nEngage with top-tier global enterprises and cutting-edge startups on international projects.\n\nEnjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.\n\nAccelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsoredtraining or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.\n\nChoose your preferred form of cooperation - B2B or a contract of mandate - and enjoy 20 fully paid days off\n\nParticipate inteam-building events and utilize the integration budget.\n\nCelebrate work anniversaries, birthdays, andmilestones.\n\nAccess medical andsports packages, eye care, and well-being support services, including psychotherapy and coaching.\n\nGet full work equipment for optimal productivity, including a laptop and other necessary devices.\n\nWith our backing, you can boost\nyour\npersonal brand by speaking at conferences, writing for our blog, or participating in meetups.\n\nExperience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.\n\nAre you interested in Addepto and would like to join us?\nGet in touch! We are looking forward to receiving your application. Would you like to know more about us?\nVisit our website (career page) and social media (Facebook, LinkedIn, Instagram).","description_format":"text","description_chars":5495,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["AI Consulting & Integration","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-09-05T12:20:00Z"}],"liveness":{"score":13,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.613,"p_room":0.55,"age_days":56,"expected_fill_days":46,"reasons":["seen:56","stale_co","velocity","win:tail"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":91620,"is_top_pay":false},"html_url":"https://alion.io/job/addepto-senior-data-scientist-tech-lead-2","json_url":"https://alion.io/job/addepto-senior-data-scientist-tech-lead-2.json","meta":{"generated_at":"2026-10-01T13:17:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4914,"day_limit":5000,"remaining_today":86,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}