Senior Data Scientist

Roles & responsibilities

• Lead and mentor data scientists with a focus on efficient, result-driven experimentation to reduce time to market.

• Establish and advocate a culture of modern data science engineering best practices and design patterns.

• Work with data-infrastructure engineers to build up top-notch data infrastructure and tools.

• Work with other stakeholders to gain new insights from data by employing statistical and/or machine learning models.

• Proactively address problems with a research-thinking mindset and critically think about the pros and cons of different approaches.

• Independently read relevant literature and share your insights and knowledge with other stakeholders.

• Write clean, maintainable, and well-commented source code.

Qualifications

• Bachelor’s degree or higher in computer science, electrical engineering, mechanical engineering, applied mathematics, or a related field.

• 5+ years of industry work experience.

• Exceptional academic track record with expertise in data science, statistics, machine learning, and/or artificial intelligence.

• Familiarity with and knowledge of the advantages and disadvantages of data warehouses, data lakes, data pipelines and batch and stream processing.

• Working experience with SQL and noSQL databases.

• Exceptionally strong understanding of fundamentals and problem solving skills.

• Understanding of software development best practices, including coding standards, code reviews, design patterns, source control management, and test automation.

• Programming skills in C++, Python, JavaScript, and/or Go.

• Strong verbal and written communication skills.

• Consistently professional demeanor in alignment with our values of integrity and excellence in the workplace.