BA
Data Manager leading data strategy and governance for Global Payments Solutions at Bank of America. Managing data architecture aligning with business and regulatory needs while overseeing complex data ecosystems.
About the role
- Engineer III - Data Science at TomTom innovation team. Working on cutting-edge HD maps and data pipelines for automotive and transportation sectors.
Responsibilities
- Help to make location content best-in-class by advocating for and implementing changes to technology, process, tools, and systems
- Orchestrate workflows and schedules; monitor, alert, and resolve pipeline issues
- Ensure data quality with validation, testing, lineage tracking, and documentation
- Collaborate with product teams to understand requirements and deliver reliable datasets
- Optimize performance and cost of data storage, queries, and pipelines
- Manage metadata, governance, and access controls
- Develop processes and tools to monitor and analyze model performance and data accuracy
- Collaborate with teams to bring synergy, with tools and communications channels that ensure transparency and knowledge sharing across the company
- Work in a mostly-remote and flexible way that will allow you to find the perfect work-life balance
Requirements
- Minimum 4+ years of experience working as a Data Scientist or Data Engineering deploying and managing ML and data pipelines in production
- Bachelor’s/Masters/PHD in Computer science, Mathematics, Statistics, or equivalent field
- Proficiency in a programming language commonly used for data engineering/data science (e.g., Python or Scala)
- Experience in various ML / AI techniques and frameworks
- Experience in designing and operating data pipelines and distributed data systems
- Experience working with Big Data technologies (e.g., Spark, Hive, …)
- Strong SQL skills, including query optimization and schema design
- Hands-on experience with cloud data platforms (AWS, GCP, Azure) and modern data warehousing/lakehouse (Snowflake, BigQuery, Redshift, Databricks, Synapse)
- Familiarity with orchestration tools (e.g., Airflow) and transformation frameworks (e.g., dbt)
- Familiarity with geospatial libraries and formats (Shapely, geopandas, GeoTiff/COG..)
- Understanding of data modelling, partitioning, indexing, and performance tuning
- Good communications skills in English
- Strong problem-solving skills
Benefits
- A competitive compensation package
- Time and resources to grow and develop, including a personal development budget and paid leave for learning days
- Paid access to e-learning resources such as O’Reilly and LinkedIn Learning
- Enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities
- Work flexibility, where TomTom’ers use both the office and home to focus, collaborate, learn and socialize
- Setup budget for home office improvement and extra support with a monthly allowance
- Options to work from your home country and abroad for a set number of days each year
- A competitive holiday plan, plus an extra day off to celebrate your birthday
- Join annual events like our Hackathon and DevDays
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Scientist developing and implementing LLM - based agents and leveraging AI techniques to improve client value. Collaborating on project challenges in a dynamic, start - up environment at Gartner.
Data Scientist in AI SaaS integrating 100+ systems for a European unicorn - in - the - making. Ensure scalability, security, and performance in a high - growth environment.
Data Science Intern working on AI - driven recipe and hardware optimization problems in semiconductor processes. Developing machine learning models and collaborating with engineering teams for innovative solutions.
Senior Data Scientist at LexisNexis developing AI - driven solutions for legal analytics. Collaborating with teams to implement machine learning models and monitor performance metrics.
Product Analyst for a leading media tech company managing SEO - friendly content and commercial campaigns. Collaborate with teams for digital content production and user engagement analysis.
Data Scientist at Capital One leveraging machine learning models for credit underwriting decisions. Partnering with data scientists, engineers, and product managers using advanced technologies.
Data Scientist specialized in Machine Learning and Generative AI at BBVA AI Factory. Collaborating with experts to deliver innovative AI solutions for the banking industry.
Data Scientist at BBVA AI Factory focusing on AI solutions in finance. Collaborate to develop AI - driven customer relationship models and analytics to enhance banking processes.
Senior Data Scientist focusing on developing generative AI solutions for financial applications at BBVA. Involved in evaluating models, developing analytical solutions, and iterative experimentation processes.