Job Summary:
We’re looking for a Data Scientist who lives to find the messages hidden in the madness of data. You’ll be responsible for keeping us on the cutting edge of data interpretation and visualization, and help us peer into the future with predictive models. As a Data Scientist, you will apply the latest data mining techniques, using statistical analysis to integrate prediction systems with our products and present findings to the business.
Responsibilities
- Building algorithms and designing experiments to merge, manage, analyze, and extract data for tailored reports to colleagues, clients or management.
- Creating, managing, and utilizing high performance relational and NoSQL databases, such as Microsoft SQL Server, Oracle, Microsoft Access, OLAP and other software.
- Selecting and implementing data mining methods most relevant to company projects and desired outcomes.
- Enhancing data collection to include information relevant for building analytic systems.
- Gathering, standardizing, and analyzing voluminous electronic data, such as records, general ledgers, sales and inventory data, etc.
- Creating and monitoring anomaly detection systems.
- Building predictive models and presenting information using data visualization tools and techniques.
- Develop proven methods and strategies for the larger Data Scientist team.
- Collaborating with engineering and product development teams.
- Querying and mining large data sets to discover transaction patterns, examining financial data and filtering for targeted information that utilize both traditional and predictive/advanced analytic methodologies.
- Keeping the company current with the latest technology, techniques, and methods.
- Act as a technical thought leader in collaboration with the analytics team, helping to set the strategy and standards for data science and advanced analytics.
Requirements
- Bachelor’s degree or higher in data relevant fields: Computer Science, Mathematics, Physics, Engineering, Statistics, etc.
- 3+ years working experience in a Data Scientist role (or related field).
- Expansive knowledge of Python, and strong familiarity with R, Java, SQL, Julia, Scala, MATLAB and TensorFlow.
- Excellent understanding of machine learning techniques and algorithms, such as k-NN, SVM, Naïve Bayes and Decision Forests.
- Highly experienced with NoSQL databases like MongoDB and Cassandra, as well as big data platforms like Aster and Hadoop.
- Experience with BI Viz tools (such as Tableau), Adobe Analytics and Google Analytics.
- Ability to perform in a multidisciplinary and highly collaborative environment where knowledge and sharing insights and information is critical.
- Familiarity with data visualization tools including ggplot2 and D3.js.
- Experience working in statistics, probability and analytics, as well as ability to present findings and trends in clear and efficient ways.