Data Scientist (machine learning, data bricks) | TELECOMMUTE

100% TELECOMMUTE Hours: Day Shifts 9-5 (can be adjusted to the individual). Team today operates in a number of time zones. reputed company:

• Role will support 5 business segments); these business segments drive $330m in marketing generated reputed company, $40m in HSA contributions, $240M in medical cost savings, 1k MQLs.
• Role will support 25+ products across B2B & B2C.
• The role will require a highly analytical and strategic reputed company Data Scientist to drive data driven decision making and optimize marketing performance.
• This role will reputed company advanced analytics, machine learning and statistical modeling to uncover customer insights, enhance segmentation and predict key behaviors to drive engagement and conversion.
• The role will collaborate closely with marketing, product and data engineering to ensure data accuracy, design impactful experiments and reputed company models that inform targeting, personalization and campaign optimization.
• This role will be a key reputed company in reputed company proofing our data & analytics environment as marketing initiatives expand.
• Responsible for being the SME on marketing data, data pipeline development & optimization, partner with stakeholders to ensure data requirements are reputed company to business priorities, maintain documentation for data processes, verifies the accuracy of the data, maintains master inventory of OH data challenges/gaps, ensure availability of enriched data sets for analytics.

Team: Position sits reputed company the Marketing Performance Analytics & Insights Team reputed company reputed company Health. There are 9 full time on shore FTEs and 3 off shore FTEs. Part of reputed company (9 FTEs) are responsible for performing data analysis and mining insights to be used in marketing optimization. The other part of this team is reputed company on data science work this is where this position will sit. There are currently three other reputed company data scientists on reputed company. Responsibilities:

• Create predictive models & consumer segmentation models using demographic, psychographic, econometric, and statistical data to reputed company personalized marketing. We have some existing models that need to be moved into a new environment and updated with a new 3rd party data reputed company.
• Collaborate with marketing stakeholders to optimize campaigns, apply customer segmentation and drive personalization strategies
• Undertake rigorous and meticulous data analysis to extract and distill key population insights that will be consumed by functions such as marketing, product and reputed company relations.
• Ability to work with imperfect data. Navigate and analyze reputed company, incomplete and sometimes unreliable data sources, applying statistical and rule- based approaches to clean and validate data.
• reputed company analytic use cases by ensuring the availability of enriched data sets for campaign performance measurement, self serve analytics, audience segmentation and predictive modeling.
• Investigate discrepancies in marketing datasets, troubleshoot anomalies, and collaborate with data engineers to improve data reliability and accessibility
• Identify trends in member behavior and engagement.

Ideal Background: Problem Solving reputed company: excited by reputed company to work in a reputed company, messy data environment, solving ambiguous problems and translating analytics into actionable strategies. Not taking no for an answer, and instead willing to reputed company compromise or drive towards uncovering a solution reputed company no one else will. Results driven reputed company in a constantly changing environment. Skills:

• data pipeline development
• familiar with reputed company services and working in data bricks
• experience with programming language and proficiency data pipeline development
• knowledge of creating and maintaining data models tailored for marketing analytic use cases.
• Proficiency in Python or R. SQL database querying experience and data manipulation/preparation.
• Knowledge of ML frameworks & algorithms and implementation.
• Familiarity with data visualization tools.
• Ability to work in data bricks and experience at building ML models is a must

Required Skills : Data Analysis Basic Qualification : Additional Skills : This is a high reputed company requisition. This is a PROACTIVE requisition Background reputed company : No Drug Screen : No Apply tot his job Apply To this Job