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Big Data, Machine Learning, Data Science, AI, MLOps and DataOps Services
Data Scientist / ML Engineer
Location
Poland
Posted
59 days ago
Salary
0
Seniority
Senior
Job Description
Data Scientist / ML Engineer
Addepto
• Develop, implement, and validate Machine Learning solutions, ensuring alignment with project objectives. • Design AI solution architectures that meet complex business goals and drive innovation. • Research, test and select the best tools and technologies as well as AL solutions to meet the business requirements. • Understand clients' needs and translate business problems into data science problems. • Oversee the implementation of data pipelines and workflows, setting standards for data quality and security. • Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications. • Present findings and recommendations clearly and concisely to stakeholders. • Prioritize, and control tasks within an Agile/Scrum framework, ensuring timely delivery.
Job Requirements
- Proven commercial experience designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, GenAI).
- Proficiency in developing ML algorithms from scratch to production deployment.
- Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch / Tensorflow).
- Proven expertise in deploying solutions in cloud environments (AWS or Azure).
- Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG).
- High proficiency in English (C1 level).
- Excellent communication skills and consulting experience with direct interaction with clients.
- Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks).
- Good knowledge of CI / CD principles (GitHub and GitHub Actions).
- Familiarity with MLOps practices, Kubernetes and Docker.
- Bachelor’s or Master's degree in Computer Science, Data Science, Mathematics, Physics, or a related field.
- Experience with Big Data technologies like Spark, Hadoop, and Kafka is a plus.
- Leadership and mentoring experience is a plus.
Benefits
- Work in a supportive team of passionate enthusiasts of AI & Big Data.
- Engage with top-tier global enterprises and cutting-edge startups on international projects.
- Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
- Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences.
- Choose from various employment options: B2B, employment contracts, or contracts of mandate.
- Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.
- Participate in team-building events and utilize the integration budget.
- Celebrate work anniversaries, birthdays, and milestones.
- Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
- Get full work equipment for optimal productivity, including a laptop and other necessary devices.
- Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.
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Pracownik ds. wsparcia handlu I
Volkswagen AGVolkswagen Group of America is an Equal Opportunity Employer. We welcome and encourage applicants from all backgrounds, and do not discriminate based on race, sex, age, disability, sexual orientation, national origin, religion, color, gender identity/expression, marital status, veteran status, or any other characteristics protected by applicable laws. This role description is a guideline and does not create contractual rights between the Company and any of its applicants. The Company does not enter into any type of employment contract, implied or written, with its applicants regarding job security. This Organization participates in E-Verify. We maintain a drug free workplace and perform pre-employment substance abuse testing.
ZADANIA: • Wsparcie dla klientów końcowych VW, • Zarządzanie reklamacjami w ruchu przychodzącym, • Rejestrowanie i przetwarzanie zapytań telefonicznych oraz pisemnych od klientów, • Przetwarzanie i przekazywanie procesów lub rozmów telefonicznych do odpowiedzialnego interfejsu, • Doradztwo produktowe oraz inicjowanie dalszych procesów, • Korzystanie z różnych baz informacji i CRM (np. Salesforce). OCZEKIWANIA: • Bardzo dobra znajomość języka niemieckiego (min. C1) – warunek konieczny, • Znajomość języka angielskiego na poziomie B2 będzie zaletą, • Doświadczenie w obsłudze klienta telefonicznego mile widziane, • Orientacja na klienta i duża empatia, • Dokładność i orientacja na szczegóły, • Wysoko rozwinięte umiejętności komunikacyjne, • Dyspozycyjność (praca zmianowa, możliwa również w soboty). OFERUJEMY: • Możliwości rozwoju w międzynarodowej organizacji, • Kulturę organizacyjną opartą na szacunku i zaufaniu, • Szeroki i elastyczny pakiet benefitów, • Możliwość pracy w 100% zdalnej.
• Design, develop and implement advanced algorithms using image, text, audio data as well as tabular data. • Design large-scale AI/ML systems end-to-end in a very fast-paced environment. • Integrate AI/ML systems into existing data pipelines and systems. • Collaborate with cross-functional teams across data and engineering to come up with solutions to complex problem statements. • Lead research initiatives to explore new methodologies, tools, and technologies.
Data Scientist
CDC FoundationCDC Foundation is a nonprofit organization that helps the Centers for Disease Control (CDC) build partnerships with philanthropies, corporate entities, outside groups, and individu
Role Description The Data Scientist will play a crucial role in advancing the CDC Foundation's mission by leveraging data to inform strategic decisions and initiatives. This role is aligned to the Workforce Acceleration Initiative (WAI). Working within the Informatics and Analytics Department and Great Plains Tribal Epidemiology Center (GPTEC), the Data Scientist will: - Utilize advanced analytics, statistical techniques, machine learning algorithms, and data visualization techniques to derive insights that support public health efforts. - Work collaboratively to ensure that all levels of data processes are integrated seamlessly into the developing informatics architecture. - Focus on accessibility for tribal communities. - Support the goal of GPTEC to fully exercise public health authority broadly among the State, Tribal, Local and Territorial (STLT) ecosystem. - Be hired by the CDC Foundation and assigned to the Data Coordinating Unit of GPTEC. - Work closely with GPTEC and WAI staff to complete project activities. - Be eligible for a fully remote work arrangement for U.S. based candidates. Responsibilities - Data: - Responsible for working with the Data Engineer to expand and optimize data and data pipelines. - Code/transform unstructured data to structured formats that are analyzable by GPTEC and Tribal epidemiologists. - Collect or extract data from various sources, transforming and cleaning it to ensure accuracy and consistency. - Load data into storage systems or data warehouses. - Optimize data pipelines, infrastructure, and workflows for performance and scalability. - Visualization and Communication: - Collaborate with GPTEC Data Coordinating Unit staff and epidemiologists to plan the content of data dashboards. - Solicit data visualization needs from GPTEC staff and tribal public health departments. - Build tribal-specific dashboards using all available data sources based on GPTEC staff and tribal input. - Update and rework current dashboards to connect to automated data pipelines, when applicable. - Ensure dashboards are easily interpretable by a general audience in digital and printed form. - Create compelling visualizations and reports to communicate findings to partners and decision-makers. - Present data-driven insights in a clear and understandable manner to facilitate informed decision-making. - General: - Develop, implement, and improve data analysis and visualization tools for use by organization staff. - Integrate data flows into the informatics system, providing for automation of data flows where possible. - Provide data-driven support and guidance to inform public health policies and initiatives. - Stay abreast of emerging trends, technologies, and methodologies in data science and analytics. - Explore innovative approaches to address complex public health challenges and improve data analysis capabilities. - Assist with the transition of current dashboards over to Power BI, if decided. - Up to 10% domestic travel may be required. Qualifications - Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Epidemiology, or related field. - Master’s or PhD in related field (ex: MPH) preferred but not required. - Minimum 5 years of relevant professional experience. - Highly proficient and experienced with SQL, Python, JavaScript, C#, etc. - Proficiency in SAS and R required. - Expertise in Tableau and/or Power BI required with a focus on interactive data visualization. - 3+ years of experience using Tableau and/or Power BI preferred. - Experience using Microsoft Fabric or similar data management software preferred. - Understanding of API ecosystems and experience in designing, developing, and deploying dashboards using live data. - Experience working with relational databases. - Understanding of cloud and distributed systems principles and experience with large-scale, big data methods. - Strong analytical thinking and problem-solving abilities. - Ability to interpret complex datasets and derive meaningful insights. - Excellent verbal and written communication skills. - Ability to effectively convey technical concepts to non-technical partners. - Flexibility to adapt to evolving project requirements and priorities. - Professional certifications in data science, machine learning, or public health analytics preferred. - Outstanding interpersonal and teamwork skills; collegial; energetic; and able to develop productive relationships with colleagues, partners, and partners. - Demonstrated ability to work well independently and within teams. - Experience working in a virtual environment with remote partners and teams. - Proficiency in Microsoft Office. Job Highlights - Location: Remote, must be based in the United States, Up to 10% domestic travel may be required. - Salary Range: $92,700-$134,275 per year, plus benefits. - Position Type: Grant funded, limited-term opportunity. - Position End Date: June 30, 2027. Special Notes - This role is involved in a dynamic public health program. As such, roles and responsibilities are subject to change as situations evolve. - The CDC Foundation is a smoke-free environment. - Relocation expenses are not included. - All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, national origin, age, mental or physical disabilities, veteran status, and all other characteristics protected by law. - We comply with all applicable laws including E.O. 11246 and the Vietnam Era Readjustment Assistance Act of 1974 governing employment practices. - As a federal government contractor, we take affirmative action on behalf of protected veterans.
Data Scientist – Freelancer
FIFABringing you news on FIFA and celebrating how football unites the world.
• Support in the development and maintenance of an economic player‑valuation model. • Conduct advanced data science projects (web scraping, NLP, machine learning, predictive modelling) to support multiple business units. • Build and maintain interactive dashboards in Power BI for operational tasks and to analyse, monitor and refine internal processes. • Support business users in implementing analyses for reports, publications and internal research projects. • Design, implement and maintain ETL pipelines for various structured and semi-structured data sources. • Build and maintain data models used for Power BI reports. • Actively collaborate with technical and non‑technical stakeholders, translating business requirements into robust analytical solutions.



