Data Science Senior Advisor

2 weeks ago

Bloomfield, United States TMS Full time
Job DescriptionJob Description

Role: Data Science Senior Advisor

Location: Bloomfield, CT (Onsite)

Duration: 12+ Months

Job Description:

Technical Skills: (Primary)

  • PYTHON
  • DATA SCIENCE
  • OPTIMIZATION
  • DATA ANALYSIS
  • MARKETING
    • Machine Learning
    • Corporate Linkages Analysis
    • Health-care sector expertise
    • Advertising Optimization Strategies
    • First Party Data Analysis
    • B2B and B2C Purchased Data Analysis
    • Natural Language Processing
    • Response Modeling
    • Tokenization and Lemmatization Techniques
    • Linguistic Framing for Call-to-Action Triggers
    • Utilization of SQL for Data Querying and Manipulation
    • Proficiency with Data Visualization Tools like Tableau or Power BI
    • Strong Experience with Predictive Analytics
    • Statistic and Mathematical Modeling
    • Deep Understanding of Principal Component Analysis (PCA)
    • Ability to Execute A/B Testing for Campaign Efficiency
    • Knowledge of Advanced Optimization Techniques (Stochastic, Monte Carlo, etc.)
    • Understanding of Uplift Modeling Techniques
    • Ability to Apply Data-Driven Strategies to Drive User Acquisition and Retention
    • Ability to Collaborate and Communicate Effectively with Cross-Functional Teams.
  • Customer service & leadership
  • In the role of a Data Scientist, the idealcandidate will be primarily responsible for leveraging their expertise in Corporate Linkages, Healthcare, and Optimization strategies to support our Direct to Consumer (D2C) Marketing endeavors. Integral to the strategic development of MDLive's customer acquisition process, the candidate will adeptly utilize our available assets: First-party Data, Purchased B2B, and B2C Data, with the primary aim of deriving actionable insights. Our expectation is to maximize these insights to reduce advertising expenditure, while simultaneously optimizing for receptivity to ensure a steady flow of new MDLive members.
  • To achieve these tasks, profound understanding of methodologies such as natural language processing, response modelling, tokenization and lemmatization is essential. Beyond theoretical understanding, the ideal candidate must possess the practical ability to traverse the nuanced pathways between linguistic framing and triggering a call to action. The end goal is to extract pivotal insights from our data assets and convert them into influential marketing strategies, thereby propelling the MDLive brand to the forefront in an Employer-centric US Healthcare market.

Education:

MS or PhD preferred.

Technical Skills (Secondary Nice to have, NOT MANDATORY):

  • SQL
  • MACHINE LEARNING
  • NATURAL LANGUAGE PROCESSING
  • TABLEAU SOFTWARE
  • B2B
  • B2C
  • MARKETING ANALYSIS
  • DATA VISUALIZATION
  • PRINCIPAL COMPONENT ANALYSIS
  • ADVERTISING
  • PREDICTIVE ANALYTICS

Soft Skills

  • Good communication
  • Presentation
  • Team player

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