Senior Data Scientist

What you will do

• Design and develop new analytics capabilities for the Spotfire product suite with close attention to robustness, scalability and performance;
• Be the “in-house” Math/Statistics expert for the algorithms development team;
• Formulate solutions for product ideas using mathematical and statistical building blocks and provide subject matter expertise to the Development, QA, Support, and Product Management teams;
• Ensure that the right statistical and machine-learning algorithms are being implemented in a scalable and performant manner to assist our users with their data discovery journey.

Must haves

• Masters Degree in Mathematics or Statistics (or Bachelors Degree in Mathematics or Statistics with relevant experience); Masters Degree in Data Science or related fields with strong foundations in Mathematics/Statistics theory from a reputable university;
• 10+ years of experience in commercial software development settings;
• Strong and comprehensive understanding of mathematical/statistical concepts and methodology, including (but not restricted to) Descriptive statistics, Inferential statistics, Bayesian statistics, Probability theory, linear algebra,
• Optimization theory, and Univariate and Multivariate calculus;
• Solid understanding of statistical/data-mining/machine learning analyses such as linear models, generalized linear models, Principal Component Analysis, Factor Analysis, Time series, Neural Networks, CART, CHAID, Random forest, and Boosted trees;
• Robust understanding of Numerical Analysis;
• Proficiency in R and/or Python;
• Interest in Spotfire and its business contexts;
• Appreciation of Engineering as an intellectual activity;
• Proclivity for quality over quantity;
• Upper-intermediate English level.

Nice to haves

• Experience with scientific computing and numerical recipes;
• Familiarity with the workflow of building, validating, and deploying predictive models;
• Experience using Business Intelligence and Data Science platforms;
• Experience in developing and deploying machine learning models;
• Working knowledge of C++ or C#;
• Good understanding of Data Structures and Algorithms;
• Experience with Big Data and Deep Learning frameworks;
• Data Analysis experience in Life Science, Energy, and High-Tech Manufacturing sectors.

The benefits of joining us

• Professional growth
• Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
  
• Competitive compensation
  
• We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities
  
• A selection of exciting projects
  
• Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands
  
• Flextime
  

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.