Model complex business problems and discovering business insights using statistical, algorithmic, mining, and visualization techniques. The data scientist conducts experiments and methodologies to generate and collect data for business use.
Mines available data to identify trends and patterns and generates insights for LOBs and senior leadership
Partners with LOBs to identify questions and issues for data analysis and experiments
Performs complex statistical analysis on experimental or business data to validate and quantify trends or patterns
Constructs predictive models, algorithms, and probability engines to support data analysis or product functions; verifies model and algorithm effectiveness based on real-world results
Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers
Develops and codes software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources
Researches and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions
Uses advanced mathematical and statistical concepts and theories to analyze and collect data and construct solutions to business problems
Participates in research and implements cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient and to create new data-driven capabilities and insights
Supports user experience specialists and information architects to enhance information visualization through development of dashboards and user interface best practices to analytics and product teams and provides consultations for their data-based experimentations
Assists in communicating Enterprise data governance principles throughout the companyJob Specifications
Typically has the following skills or abilities:
Bachelor’s degree in computer science, data science, statistics, economics, or related functional area; or equivalent experience
Six years of demonstrated data analytics and/or data science experience including experience with big data analysis tools and techniques. Preferably in successfully executing data science projects in one or more of the following domains/business functions: risk modeling, customer behavior prediction, customer journey analytics, marketing analytics, target marketing, churn management, e-commerce platforms, financial risk analytics, logistics/supply chain. With a Master’s degree or higher, six or more years of relevant experience required.
Experience building and deploying predictive models, web scraping, and scalable data pipelines
Experience using statistical modeling and machine learning to solve complex business problems.
Experience in data discovery/analysis platforms such as SPSS Modeler, KNIME, or similar.
Coding knowledge and experience in languages such as R, Python/Jupyter, SAS, Java, Scala, C++, etc.
Experience with database programming languages such as SQL, PL/SQL, and others for relational databases, and preferably experience in nonrelational databases such as NoSQL, Hadoop, MongoDB, Cassandra, and others
Flexible and able to change priorities and direction quickly and effectively
Excellent written and verbal communication, presentation and analytical skills
Strategic skills, business acumen and curiosity to support envisioning work, program planning and strategic partnerships
Ability to regularly exercise discretion and independent judgment in the performance of his/her job duties
Remain current in the field, including new techniques, approaches, and software available
For roles that are remote (i.e., Work From Home (WFH)) or hybrid (i.e., partial onsite at a VSP location and WFH), must demonstrate a high level of engagement in virtual environments, including maintaining camera presence during meetings to support effective communication and team alignment
#LI-VISIONCARE
Compensation range for the role is listed below. Applicable salary ranges may differ across markets.Actual pay will be determined based on experience and other job-related factors permitted by law. As a part of the compensation package, this role may include eligible bonuses and commissions. For more information regarding VSP Vision benefits, please click here.
Salary Ranges: $84,000.00 - $141,750.00
VSP Vision is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to age, gender, race, color, religion, sex, national origin, disability or protected veteran status. We maintain a drug-free workplace and perform pre-employment substance abuse testing.
Unincorporated LA County Residents: Qualified Applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, and any other similar laws.
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