Manager, Data Modeling and Data Science - Temporary Worker

Dentsuaegis; United States; Remote; USD 91,000 - 121,000; Full time

Job summary

Dentsu is seeking a Manager, Data Modeling & Data Science for a ~4–5 month, remote US engagement. You will drive analytics and predictive modeling across client portfolios, translating complex marketing challenges into data-driven strategies that yield measurable outcomes.

You will lead hands-on model development, QA, and collaboration with analysts, co-presenting results to clients and mentoring junior team members. Bachelor’s degree required; Masters preferred; Colorado remote location noted.

Qualifications

• 5+ years in quantitative marketing/analytics/data science.
• Advanced experience with Snowflake, SQL, R, Python, Claude AI.
• Experience using 3rd party data with 1st party data for modeling and scoring.
• Ability to explain complex analytics to non-technical audiences.
• Experience with modeling, segmentation, DOE, forecasting and related tasks.
• Bachelor’s degree or foreign equivalent in Statistics, Math, Economics or related field; Masters preferred.

Responsibilities

• Drive analytics and predictive modeling to deliver client business impact.
• Develop and edit code for models, scoring, and delivery (R/Python).
• Direct analytics team members and oversee deliverables.
• Evaluate client needs and develop quantitative analysis methods.
• Collaborate with teams using Snowflake/SQL/Python/R.
• Lead client discussions presenting findings and recommendations.
• Manage project tasks, timelines, and production activities.

Skills

Quant marketing analytics

Mentoring analysts

Non-technical stakeholder comms

Statistical modeling

Education

Bachelor's in Statistics/Math/Economics

Masters preferred

Tools

Snowflake

SQL

R

Python

Claude AI

Job description

Job Description:

Temporary role, W2 status

Start date: ASAP

~4-5 month engagement

Candidates must be located in the U.S.

ROLE SUMMARY

The Manager, Data Modeling & Data Science will drive strategic business impact through advanced analytics and predictive modeling, serving as a trusted advisor to clients across multiple vertical portfolios. This role combines hands-on technical excellence with strategy — designing sophisticated analytical solutions, owning quality assurance across all deliverables, and mentoring analysts. The Manager will act as the client's analytical partner, translating complex marketing challenges into data-driven strategies that drive measurable business outcomes.

• Ensure timely delivery of data, analytics, and models to support the client’s data licenses, database marketing initiatives, and campaigns;
• Developing and/or editing R code, Python code for model builds, scoring and delivery.
• Provide direction and manage the work processes and output of database marketing analysts;
• Participate in creating relevant solutions for clients by evaluating client needs for quantitative analysis and in developing methods or processes for implementation;
• Leverage knowledge, and hands on work, of data and statistical modeling techniques to provide suggestions or guidance to teams using tools like Snowflake/SQL/Python/R
• Provide hands on building and optimization of clients’ multi-channel campaigns through model building, campaign scoring, and production using tools like Snowflake/SQL/Python/R.
• Perform 3rd party data vendor evaluations for the data product leveraging qualitative and quantitative methods.
• Manage project tasks, timelines and deliverables inclusive of model builds, deployment, campaign production activities, like scoring.
• Act as an advisor in the following techniques: Predictive statistical models, Customer profiling, Segmentation Analysis, Campaign Analysis & Scoring, Data Analysis and Mining,
• Co-presenting modeling findings and campaign results to clients,
• Work independently with minimum supervision, and provide guidance to junior team members;

Experience

• Possess core database marketing knowledge such as understanding of company and client data, relational database concepts, and direct marketing concepts;
• 5+ years in quantitative marketing/analytics/data science
• Advanced Experience with Snowflake, SQL, R, Python, AI tools (Claude) logistic regression, linear regression, XGboost machine learning, clustering;
• Advanced experience using 3rd party data in combination with 1st party data for modeling, scoring, and campaign analytics;
• Ability to explain/present complicated/advanced analytical methodology and results to non-technical audiences;
• Ability to execute advanced analytic tasks (including but not limited to developing/editing modeling code, modeling, segmentation, DOE, forecasting, etc.) and create meaningful analytical outputs;
• Ability to translate analysis insights into actionable recommendations and strategies for marketers; Experience with applying statistical techniques such as regression, cluster analysis, factor analysis, to solve business problems;
• Possess core analytical competencies such as ability to formulate an analytical problem, QC data and results, summarize key findings/insights, make actionable recommendations, and develop new and innovative analytical solutions to solve challenging business problems;
• Requires a Bachelor’s degree or foreign equivalent in Statistics, Math, Economics or related scientific/quantitative field and at least five (5+) years of experience as a Data Analyst or related occupation. Masters+ preferred.

The hourly pay range for this position is $65.79 - $87.77.The hourly pay ratefor the successful candidateis based on a variety of factors, including relevant experience, knowledge, skills, and other factorspermittedby law.Temporary employees are eligible for paid holidaysin accordancewithdentsu policy,as well assafe and sick time. This position is not eligible for any other benefits or other compensation.

Location

USA - Remote - Colorado

Brand

Merkle

Time Type

Full time

Contract Type

Temporary

Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.

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