Data Science Senior Advisor

4 weeks ago


West Bloomfield Township, Michigan, United States Eateam Full time
Job Title:
Data Science Senior Advisor

Location:
Bloomfield, CT (Onsite)

Job Description:

Key Responsibilities:

Develop and implement data-driven marketing strategies to drive user acquisition and retention
Utilize corporate linkages, healthcare, and optimization strategies to support Direct to Consumer (D2C) Marketing endeavors
Leverage first-party data, purchased B2B, and B2C data to derive actionable insights and reduce advertising expenditure
Collaborate with cross-functional teams to execute A/B testing and optimize campaign efficiency
Apply data-driven strategies to drive user acquisition and retention

Technical Skills:
Proficiency in Python, SQL, and data visualization tools like Tableau or Power BI
Strong experience with predictive analytics, statistical and mathematical modeling, and principal component analysis (PCA)
Knowledge of advanced optimization techniques, uplift modeling, and natural language processing
Ability to execute A/B testing and optimize campaign efficiency

Requirements:
Bachelor's degree in Computer Science, Mathematics, or related field
5+ years of experience in data science, marketing, or related field
Strong understanding of data visualization, machine learning, and statistical modeling
Excellent communication and collaboration skills

What We Offer:
Competitive salary and benefits package
Opportunity to work with a dynamic team and contribute to the growth of Eateam
Professional development and growth opportunities
Collaborative and inclusive work environment

How to Apply:
Please submit your resume and cover letter to [insert contact information]
We look forward to hearing from you

Customer service & leadership

In the role of a Data Scientist, the ideal candidate 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.

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

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