Senior Data Scientist / Data Engineer

Job title:

Senior Data Scientist / Data Engineer

Company:

Roche

Job description

Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.The PositionWe are looking for you to join Roche and our Roche Services & Solutions Center inBudapest.Roche is a global healthcare company offering exceptional career paths and great benefits for fresh graduates and outstanding professionals. We are continuously expanding, looking for new talents to join our transforming Services & Solutions Center. We offer a flexible working framework (1 office day/week on average) and provide fully remote working conditions within Hungary.What we do:RSS is a global division with regional presence in Switzerland, India, Hungary, Costa Rica and Malaysia. We operate in an agile organizational set-up without extensive hierarchical structure, where all our employees lead from every seat, inspirational leadership, service oriented behavior and entrepreneurial customer centric mindset are our core values.Your day to day responsibilities are:As a Senior Data Scientist / Data Engineer you will be responsible for delivering high quality outcomes by applying the right fit-for purpose solutions in collaboration with other stakeholders and team members within the same business line.As a qualified expert, you:Apply specific fit-for-purpose methods and implement analytics and processing algorithms.Onboard data into Snowflake and database systems and implement data loads and data analysis; incl. backend development in SQL.Operationalize models leveraging AWS micro services and set up optimal architectures for the data science projects in AWS.Lead projects independently, partnering with business stakeholders to ensure business needs are met.Partner with colleagues, peers and stakeholders globally, and work on initiatives and projects in different regions.Build and strengthen relationships with other departments/groups across Roche to help identify synergies and streamline redundancies.Create and manage documentation for different data science / data engineering projects.Collaborate in an agile and cross-functional team with other Data Scientists, Automation experts as well as business experts, so our Roche peers and patients will receive AMAZING solutions.Performs demos, project reviews, and retrospectives; communicates ideas for team Analytics & Automation and willingly receives feedback for self-improvement.Participate in exploratory projects to evaluate new technologies and establish new services.Embrace new ways of working with fast iterations, lean documentation and planning, close alignment to our colleagues from business and IT and close communication across global teams.What can you bring to our team:You’re someone who wants to influence your own development. You’re looking for a company where a job title is not considered the final definition of who you are, but the starting point.Education: Bachelor Degree (Masters is a plus) in mathematics, computer science, statistics, engineering, or information science.5+ years of relevant experience, ideally in a multicultural environment with global processes (Commercial, Finance, Procurement, Supply Chain, IT)Professional work experience in:Designing and developing data flows and ETL processes using modern storage solutions (e.g., Snowflake, AWS Redshift, GCP BigQuery).Applying advanced statistical methods and machine/deep learning algorithms to real world data.Professional work experience in at least one of the following languages: Python, SQL, JavaScript, dbt.Strong team player with interpersonal skills and strong collaborative and solution-focused mindset.Strong communication, networking skills, someone who enjoys working with others and acts as a team player.Strong experience with stakeholder management.English is a must, additional languages are a plus.In exchange we provide you with:Development opportunities: Roche is rich in learning resources. We provide constant development opportunities, free language courses & trainings, the possibility of international assignments, internal position changes and the chance to shape your own career.Excellent benefits & flexibility: competitive salary and cafeteria package, annual bonus, Private Medical Services, Employee Assistance Program, All You Can Move Sportpass, coaching / mentoring opportunity, buddy program, team buildings, holiday party. We also ensure flexibility, to help you find your balance: home office is a common practice, and its conditions can be tailored for employees according to needs. We create the opportunity for freedom in working, where your corporate and private life coexist in harmony.A global diverse community, where we learn from each other. At Roche, we cooperate, debate, make decisions, celebrate successes and have fun as a team. Our leadership is very focused on people, creating a strong, inclusive culture, so you always have the chance to share your opinion.Please read the Data Privacy Notice for further information about how we handle your personal data related to the recruitment process:Who we areAt Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.The Roche Services & Solutions as well as People Support Solutions organisations located in Budapest provide end-to-end business solutions for Finance, Procurement, IT, Communications, People & Culture (Human Resources) and beyond to our Roche colleagues across the EMEA region. Today Roche employs altogether around 2000 employees in Hungary.Roche is an Equal Opportunity Employer.

Expected salary

Location

Budapest

Job date

Sat, 18 Jan 2025 23:30:10 GMT

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