Senior Manager Data Science

Location: Remote / Virtual
Job Type:

IQ Workforce is a leading recruiting firm for the analytics and data science communities. Our client is a fast-growing direct-to-consumer ecommerce business. They are looking for a Senior Manager Data Science who will measure the performance of marketing campaigns, design tests and experiments including KPIs, extract insights and knowledge, and offer recommendations to the Marketing team to improve and optimize the effectiveness and efficiency of marketing efforts and initiatives.

In this role, the Senior Manager will pull, assemble and analyze data from a variety of sources and present the findings to multiple audiences based on numerical evidence. As the analytics grows, this role will be responsible for developing a test-and-learn program to understand the user journey and identify growth opportunities along the journey.

This position will report to the Sr. Director Analytics and Business Intelligence and will manage 1 direct report to start out.

About You

You have extensive experience applying statistical methodology to design experiments, analyze the results of multi-channel marketing campaigns and measure channel performance, and then present findings and recommendations to a broad audience.

You’re passionate, intellectually curious and love data, marketing and storytelling.

You’re the right person for this role if you:

Love to test and learn constantly, examining data and can spot a flaw in test design from miles away, and then improving or proposing the next set of hypotheses for experiments.

Communicate well and know how to influence others across the organization to drive the outcomes you need.

Are a self-starter with a strong work ethic; willing to work hard and sometimes long hours to get the job done.

Excel in an unstructured environment and can turn an ill-defined idea into a structured project you can execute on.

Learn fast and can pivot quickly. You will run tests, talk to users, analyze feedback, and integrate learnings into future strategies.

Successfully juggle multiple initiatives and prioritize work effectively while meeting deadlines.

Are excited​ ​to​ ​be​ ​part​ ​of​ ​a​ ​growing​ ​team,​ take initiative, and drive results.

Are pragmatic and can balance short and long-term efforts as well as deciding when to ‘test and invest’ vs. going ‘all in.’

Are legally authorized to work in the United States. Visa sponsorship will not be offered.


Develop a strong understanding of the business, key marketing levers and performance drivers.

Propose experiments and recommend KPIs and metrics to address information needs of internal clients.

Partner with key stakeholders and business partners (technical and non-technical) in problem definition, hypothesis and test design, ensuring tests can be measured with confidence to enable sound decision making.

Measure and analyze the performance of marketing campaigns and programs:
Independently seek data and execute analyses.

Partner with Marketers to communicate results clearly and succinctly to key stakeholders across the business and at all levels of the organization.

Identify business needs and design measurement plans including KPIs and supporting metrics

Collaborate with Data Engineering and Digital Tools Team for data sourcing, instrumentation and collection as needed

Query databases using SQL to extract, integrate, assemble and prepare data frames and data hygiene for analyses

Analyze data using descriptive and inferential statistics, data mining methods, predictive modeling, machine learning techniques interpret results, extract insights, provide evidence and recommend actions to decision makers

Use analytics tools and languages such as R and/or python as needed

Visualize results (e.g., using Tableau), prepare presentations and present findings to audiences

Keep abreast of the latest developments in marketing analytics tools and methodologies including but not limited digital (like Google Marketing Platform and Facebook Ads) and non-digital channel attribution using Marketing Mix Modeling to include offline channels like TV, radio, OOH, print, direct mail and call centers, as well podcast ads and connected TV/OTT

Attend all stand-ups and weekly team meetings including project prioritization

Collaborate and share project activities with other data scientists and analysts


An degree in a quantitative field of study (e.g., Statistics, Mathematics, Computer Science, Data Science/Analytics, Econometrics, Operations Research, Physics)

Three-five years of experience analyzing marketing campaigns

One to three years experience in analyzing digital marketing

One to three years experience in analyzing traditional channels (TV, radio, OOH, print)

Strong communication skills, with ability to explain complex concepts simply and clearly to both technical and non-technical audiences

Advanced knowledge of postgresQL

Expert level knowledge of statistical software, specifically R and/or python

Some experience creating data visualizations

Experience working with Google Analytics, Heap or any web analytics platform using the front-end UI and backend APIs

Advanced knowledge of statistics and application of statistical methods including descriptive and inferential statistics, data mining techniques and predictive models

Practical experience in using machine learning methods such as Cluster Analysis and Classification, Regression Models in all forms, General Linear Models, Robust Regression, Random Forests, Neural Nets, Bayes Nets, Time Series Analysis,

Econometrics applied to revenue and demand forecasting and marketing mix modeling.

Experience using Operations Research/Mathematical Optimization applied to marketing channel budget allocation and product mix optimization is a plus