Takt provides Machine Learning (ML) personalization for the largest enterprise businesses in the world. We work with high volume data streams to deliver tailored experiences and orchestrate physical and digital exchanges into a seamless ML facilitated journey. Our Data Science Team is transforming the way people engage across multiple industries, be it retail, finance or healthcare.
We are seeking Senior Data Analysts to help drive and develop our core product services. Your passion for data exploration, feature engineering, and pattern detection will be applied to generate data-driven patterns and insights. You will be working on small, self-sufficient teams with a common goal: deliver excellent software anchored in an agile data science culture of quality, delivery, and innovation.
Interpret data and analyze results using statistical methods to provide reporting and business decisions
Develop and implement featured engineering pipelines, databases, data collection systems, data analytics and other strategies to optimize statistical efficiency and quality
Serve as a liaison for our Fortune 500 customers showing empathy and understanding for the business challenges
Generate critical decisions in determining reporting metrics for both internal and external customers
Collaborate with Engineers and Product Managers, sharing responsibility throughout the product lifecycle
Skills and Experience:
Bachelor or Master's Degree in a relevant technical field (ie Computer Science, Physics, Mathematics) or equivalent demonstrated experience
Minimum of 2 years experience as a Data Analyst or ML Analyst
Prior experience with SQL and Python
Prior experience designing complex ETL pipelines for data transformations and metric evaluation
Demonstrated ability to collaborate with all areas of an organization (ie Data Science, Engineering, Product, and Business)
Expertise in rapid data exploration and performance evaluation
Exceptional verbal and written communication skills
Ability to travel domestically to meet with customers
Experience with analyzing complex, real-world problems to generate quick insights and confirm both tactical and strategic hypothesis
Familiarity with Reinforcement Learning, Contextual Bandits, and the Vowpal Wabbit Library
Prior experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture and cluster management
Experience with functional programming languages (e.g. Scala, Haskell, or Clojure)
Takt distills complex customer data into uniquely tailored experiences; we orchestrate physical and digital exchanges into one seamless journey. Our business is building lasting, trusted relationships between people and brands—and making it look easy.
We're already reaching millions of people a day, and we're just getting started. Our founding leadership is equal parts business, design, and engineering—because we believe differing perspectives + passionate discourse achieve the greatest outcomes. We are collectively talented, but also humble. We give our whole selves. We love learning new things.
Takt is committed to inclusion and diversity and is an equal opportunity employer. All applicants will receive consideration without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, disability, or veteran status.
If you're up for the challenge of a lifetime, we're looking for outstanding talent to join our team.