Rover is looking for a Lead Data Scientist who will mentor and lead larger projects, ensuring a high level of quality across the team. The ideal candidate will tackle challenges in our two-sided marketplace, from machine learning to analytical problems, in a collaborative environment. Candidates with expertise in Search, Ranking, and Recommendations are especially encouraged to apply.
EPAM Systems is looking for a Data Solution Architect with strong hands-on Big Data development skills and a capacity for open-minded collaboration to join our friendly team. The ideal candidate will contribute to designing and implementing impactful data solutions using advanced Big Data technologies, especially on Databricks platforms. This role is crucial for working closely with business stakeholders to decipher solution requirements and architect significant data-driven results.
EPAM Systems is looking for a Senior Data Software Engineer skilled in Databricks to join our team. You will be integral to our efforts, bringing a deep understanding of data engineering, expertise in Databricks, and an open-minded approach to our collaborative and friendly work environment. This role is ideal for a professional eager to develop scalable data solutions and drive innovation in our data practices.
EPAM Systems is looking for a Lead Data Software Engineer to join their team in Madrid, ES. This role involves leading a small team of engineers in designing and maintaining scalable data pipelines using Databricks. Candidates should have strong Databricks and data engineering knowledge, and good English skills are essential.
EPAM Systems is looking for a Principal Data Software Engineer to join our team. In this role, you will design, develop, and maintain scalable data pipelines while optimizing data models and ETL processes using Databricks. The ideal candidate has a strong background in data architecture, engineering, and is skilled in working with cloud platforms like AWS, Azure, or GCP. Good English communication skills are essential.
EPAM Systems is looking for a Principal Data Software Engineer who possesses a solid background and extensive experience in Data engineering with a strong proficiency in Databricks. The successful candidate will be expected to design, develop, and maintain scalable data pipelines while optimizing data models and ETL processes. Additionally, the role emphasizes the importance of implementing stringent data quality checks and fostering effective communication with both team members and clients. Candidates should also demonstrate technical leadership experience across various SDLC phases and have a proactive approach to problem-solving, especially in ambiguous situations.
EPAM Systems is looking for a Data Solution Architect to join our expert team. The chosen candidate will be pivotal in designing and implementing data solutions using Databricks platforms. This role requires someone with experience in AWS and Java, who can successfully engage with business stakeholders to meet their data architectural needs.
Softeam is looking for a Data Engineer Cloud to join their team and contribute to the transformation of major industries like Banking, Luxury, Insurance, Finance, and Energy. In this role, you will design, implement, and manage big data solutions using Azure technologies including Azure Data Lake and Azure Synapse, while working closely with clients to understand their needs and ensure the quality and performance of the data processing workflows.
Meta is looking for a Software Engineer (Leadership) - Machine Learning to join our team. The ideal candidate will have industry experience working on various classification and optimization problems. Responsibilities include developing scalable classifiers leveraging machine learning and collaborating with leaders to improve team performance. The candidate should possess significant experience in programming languages and mentoring engineers.
Asana is looking for a Senior Data Scientist to join their Data Science team in Warsaw, Poland. This role is pivotal in informing strategy and defining success metrics while utilizing data science techniques to deepen our understanding of customers and drive business outcomes. The ideal candidate will collaborate closely with cross-functional teams and employ experimentation, causal inference, and statistical modeling to deliver value to users.