Sr. Data Scientist

Ninthdecimal | Remote

Date listed

3 months ago

Employment Type

Full time

Remote

Yes

Employees

101-250

Total Funding

$69.3 million

Found on:

Responsive image Github

Senior Data Scientist @ NinthDecimal.

NinthDecimal (www.ninthdecimal.com) provides location-based intelligence to help advertisers plan, manage, measure, and optimize multi-platform cross-media campaigns to drive customer and revenue growth. As an industry leader in the AdTech & MarTech space, NinthDecimal delivers best-in-class measurement, insights, and analytics by deploying patented big data methodologies on a cutting-edge technology platform.

Our LocationGraph™ platform processes data on a massive scale, converting tens of billions of signals per day into accurate and actionable insights for our clients. We provide location-based intelligence services for top brands across industry verticals including retail, travel, leisure & entertainment, fast food & casual dining, telecommunications, and automotive.

As a member of the Data Science team, you’ll be responsible for developing statistical and machine-learning models that deliver accurate and robust measurement metrics of interest to our advertising clients. You will work closely with other data scientists, data analysts, product & engineering teams, and other business units. This is a great opportunity to work with real world data at scale and to help define and shape the measurement standards in a very dynamic and evolving industry.

Responsibilities:

  • Develop & deploy statistical & machine learning models at scale to create high quality disruptive products
  • Contribute to our growing portfolio of data science and technology patents
  • Establish robust processes to insure the accuracy, stability, reproducibility, and overall quality of all data, algorithms, and the results they produce.
  • Represent Data Science team in product and roadmap design sessions
  • Participate in building reliable QA processes for both data and results
  • Collaborate on key architectural decisions and design considerations
  • Contribute to and promote good software engineering practices across the Engineering Department.
  • Understand the current data sets and models and provide thought leadership by discovering new ways to enrich and use our massive data assets

Qualifications Required:

  • A true passion for data, data quality, research and a solid data science approach
  • Masters or Ph.D.in Statistics, Economics, Operations Research, or similar quantitative field
  • At least 5 to 10 years of professional experience with clear career progression and demonstrated success at developing models that drive business value
  • Excellent communication skills and the ability to present methodologies and findings to audiences with varying technical background
  • Solid understanding of probability and statistics
  • Solid understanding of research design, A/B and test-vs-control statistical testing frameworks
  • Solid understanding of unsupervised and supervised machine learning approaches including clustering and classification techniques.
  • Experience in building Machine Learning models (GLM, SVM, Bayesian Methods, Tree Based Methods, Neural Networks)
  • Solid understanding of how to assess the quality of machine learning models – including the ability to tune and optimize models and to diagnose and correct problems.
  • Experience working with multiple data types including numerical, categorical, and count data.
  • A driven leader, able to manage competing priorities and drive projects forward in a dynamic and fast paced business environment.
  • Experienced/Advanced programmer in Scala, Python, or similar programming languages
  • Experienced/Advanced Programmer in Spark, SQL, and Hadoop
  • Experience in developing algorithms and building models based on TB-scale data
  • Familiarity with the digital media / advertising industry is a big plus

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