CyberCoders Data Scientist - SAS, R, Predictive Analytics - eCommerce Leader in Woodland Hills, California
Data Scientist - SAS, R, Predictive Analytics - eCommerce Leader Data Scientist - SAS, R, Predictive Analytics - eCommerce Leader - Skills Required - SAS, R, Predictive Analytics, Statistics, Statistical diagnostics of models, Model Building, Large Data Sets, SQL, Python, Regression/logistic regression
If you are a Data Science Manager with experience in a B2C or eCommerce company who thrives solving difficult problems and looking for a great opportunity near home. Please read on!
Founded over 30 years ago, we are an industry leader for home goods. We have successfully tackled the complexities of the E-Commerce world which has resulted in continuous growth annually at a high level. Our strong customer base has also helped grow our business tremendously over the years. We are the single source for all online home decor needs. We attribute our success to our extremely talented technology team which has built a world class eCommerce site that is ranked in the Top 10! We look to stay on the cutting edge of our industry and seek the best and brightest to join our team. We are headquartered near Woodland Hills, CA and are currently searching for a Data Scientist to join our team!
Top Reasons to Work with Us
Join a stable and successful 30+ year growing company!
Work with an innovative team that is pushing the technology envelope on a daily basis.
Generous base salary and benefits package.
What You Will Be Doing
We are currently seeking a highly motivated Data Science Nanager who will apply analytic techniques to improve the effectiveness and efficiency of our direct marketing organization. The ideal person will be responsible for solving business problems using advanced statistical techniques including but not limited to regression/logistic regression, bootstrapping, decision trees, gradient boosting, neural network, clustering & binning, time series forecasting, and market basket analysis.
Collaborate with business partners to develop predictive analytic solutions that enable data-driven strategic decision-making.
Utilize data science techniques to manipulate large structured and unstructured data sets.
Identify patterns in raw data, and develop models to predict the likelihood of a future outcome and/or to optimize business solutions.
Creatively identify and pursue predictive analytics opportunities to solve business problems and drive value to the Distribution & Service organization.
Developing and executing a technical/analytical tool and platform road-map.
Spearhead research projects to provide customer and market insights for Senior Management and other internal departments.
Proactively identify and develop expertise in new technologies, methodologies, and techniques.
Design and manage market experiments and pilots to test hypotheses.
Lead cross-functional projects from ideation/conception through implementation
Partner and coordinate with Product, Marketing, Operations, and Information Management to operationalize analytical tools and decision support models.
Mines large data sets using sophisticated analytical techniques to generate insights and inform business decisions.
Ensure data integrity of customer records in our customer data platform.
Provide access to business intelligence tools and data exports.
Provide predictive analytics leadership.
Identify predictive analytics needs of the Internet/Direct Marketing Departments.
Work with predictive analytics partners to provide incremental value to internal efforts.
Lead efforts for recruiting, hiring and training qualified candidates to establish a data science practice with the Direct Marketing Department.
Identify Direct Marketing's data needs and work with IT Department/3rd-party sources to establish timely access.
Ensure appropriate methodologies are implemented so statistically valid conclusions can be drawn from marketing tests.
What You Need for this Position
Experience with statistical and data management software (R, SAS, SQL, Python)
Broad knowledge of predictive analytic techniques and statistical diagnostics of models
Experience in model building
Experience working with large data-sets
Experience developing and presenting data-driven recommendations
Complete understanding of direct marketing and best practices
Ability to communicate with both technical and non-technical audiences
Effective presentation skills, building a business case, translating analytic results to usable learnings and actions
Experience working in a B2C, eCommerce or Retail company
Bachelor's degree in a Scientific Field, Master's degree and/or Ph.D. in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study)
What's In It for You
Great work environment
True work/life balance
Company paid for medical, dental and vision
Competitive vacation and 401k plans
Team oriented culture that starts at the top with the CEO
Fun and exciting company events
Rapidly growing company creating professional development opportunities
Company that values continued education in cutting-edge technologies
You don't want to miss out on this opportunity, Apply Today!
Applicants must be authorized to work in the U.S.
CyberCoders, Inc is proud to be an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.
Your Right to Work – In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.
Data Scientist - SAS, R, Predictive Analytics - eCommerce Leader CA-Woodland Hills MR-1487826