Sr. Data Scientist

Job Overview

Senior Data () 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, youll 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 assetsQualifications 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