Group Data Scientist at d.light

Reporting to:  Director of Technology
Secondary Reporting: Group Strategy Director  
Job Tier Level:  Head of Department
 
Purpose

We are looking for a Data Scientist whwill support our product, sales, leadership and marketing teams with insights gained from analyzing company and external data. The ideal candidate will be adept at using large data sets tfind opportunities for product and process optimization and using models ttest the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must be broad minded with a proven ability tdrive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets collected within and without the company and not limited in nature or source

R&Rs

• Work with stakeholders throughout the organization tidentify opportunities for leveraging company data tdrive business solutions.
• Identity, recruit and lead a team of highly skilled data engineers and analysts with a global mandate
• Mine and analyze data from company databases tdrive 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 tapply tdata sets.
• Use predictive modeling tincrease and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop d.light testing framework and test model quality.
• Coordinate with different functional and OpCteams timplement models and monitor outcomes.
• Develop processes and tools tmonitor and analyze model performance and data accuracy.

Desired Qualifications and Experience  

• Strong problem solving skills with an emphasis on product development.
• 5 or more years’ Experience with Oracle Analytics or related tools
• Experience using statistical computer languages (R, Python, SLQ, etc.) tmanipulate 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 tlearn and master new technologies and techniques.
• 5-7 years of experience manipulating data sets and building statistical models,
• University degree 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 creating and using advanced machine learning algorithms and statistics: regression, simulation, scenarianalysis, 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.

Behavioral Competencies  

• Self-starter (ability twork independently) with good prioritization skills
• Business driven, people focused, with exceptional influencing skills; excellent organizational, project management, multi-tasking, presentation and time-management skills
• Highly detail oriented
• Passion for social enterprise and people development