Data Scientist

Short Description

Maven Wave Partners are looking for Data Scientist who will develop custom data models and algorithms to apply to data sets. Also have experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

Job Description

Responsibilities:
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  • Develop custom data models and algorithms to apply to data sets.
  • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
  • Develop company A/B testing framework and test model quality.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  • Develop processes and tools to monitor and analyze model performance and data accuracy.

Qualifications:
  • Strong problem solving skills with an emphasis on product development.
  • Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
  • Experience working with and creating data architectures.
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Excellent written and verbal communication skills for coordinating across teams.
  • A drive to learn and master new technologies and techniques.
  • Having 5-7 years of experience manipulating data sets and building statistical models, has a Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:
  • Coding knowledge and experience with several languages: C, C++, Java,
  • JavaScript, etc.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
  • Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.
  • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
  • Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Data Scientist
Mid-Senior-level Technology | Information Technology | Information Full-time Information Technology | Other Data Science | Data Scientist

Today people engage their vendors and service providers with very little human-to-human interaction. Though we want a ‚??personal‚?? experience, we are fine if that experience doesn‚??t actually include another person. We expect the relationships with the firms we do business with to be digital; and we want those digital experiences to be easy to use and available anywhere, on any device. Even in our everyday work processes, the use of cloud-based collaboration and sharing tools, such as Google Cloud, have changed the way that work gets done.

Increasingly market leaders will be chosen based on the enterprise‚??s ability to deliver exceptional technology-based experiences for customers and employees. Maven Wave assists clients in changing the way technology experiences are delivered by leading enterprise players to change the way they work and thrive in the digital age.

Maven Wave helps leading companies make the shift to digital and shorten the fuse to innovation. Maven Wave combines the expertise and discipline of top-tier consulting with the agility you‚??d expect from a cutting-edge technology firm. This multidisciplinary blend of skills allows us to create unique digital advantages for our clients. Maven Wave‚??s digital solutions are agile, mobile, rooted in analytics, and built in the cloud. 

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