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Data Science Senior Manager

Data Science Senior Manager
DC, Washington D.C.

Job Description

Title: Data Science Senior Manager

Type: Full Time Employed

Location: Washington D.C. Metro Area

Must Have: Master’s/PhD in Applied Mathematics or related field, knowledge of consumer driven data

US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time.

Job Description:

As part of a growing team essential to our Client’s business around the world, you, the Data Science Sr Manager, will be responsible for managing and executing high impact data science projects to support Direct-to-Consumer priorities.

These efforts will include, but are not limited to:

 

        global customer, user, and audience segmentation to support churn, lifetime value, and marketing mix projects

        global content intelligence to maximize the audience enjoyment and content value using graph-ML

        voice-of-customer initiatives that support subscription-based revenue predictions

        transforming  ML-based  customer  segmentation,  NLP,  churn,  and  personalization  prototypes  into sustainable automated solutions

        implementing data- and model- monitoring based on best MLOps practices

 

Specifically, you will be responsible for managing end-to-end delivery of data science projects and providing guidance to team members -- inclusive of proof-of-concepts & prototypes, ad hoc statistical analyses, and ML deployment. You will also be responsible for managing maintenance and improvements to our Data Science tech stack as our team and projects scale.

 

You’ll need to be an innovative forward-thinker who will lead end-to-end data science initiatives, work collaboratively with other data scientists as well as key business partners, and contribute directly to existing and emerging business strategies and goals. Communication and ability to thrive in a team environment are essential, as are strong technical skills, creativity and attention to detail, and experience conducting data science projects from use case definition to final product delivery.

 

 

Responsibilities:

        Management Responsibilities

o    Meet with business partners to flush out use cases and key requirements for data science deliverables

o    Guide and manage project execution balancing scope, team priorities, and agreed timelines

o    Collaborate with data and technology teams to identify data sets, skills, and resources for ad-hoc analyses, prototyped solutions, and deployed capabilities

o    Provide regular updates to and receive strategic direction from Global Data Science Team Lead

o    Prepare and communicate updates to senior level management and business partners, including project status updates and insights delivery

o    Provide direction to data scientists and review data science approaches & deliverableAssist in making data science techniques approachable and understandable to non-data scientists

o    Identify appropriate data science solutions as new data-centric business problems arise

o    Support Global Data Science Team Lead in developing and implementing data science framework, processes, and best practices

o    Stay current with new data science methods, technologies, and industry trends

 

        Technical Responsibilities:

o    Apply data mining techniques to cleanse, explore, and model large, unstructured data sets, including language and event logs

o    Develop, validate, and operationalize sound mathematical and statistical models via NLP, personalization, or behavioral segmentation, with an eye toward extensible design and deployment

o    Design, execute, and interpret statistically sound A/B tests of product design and user engagement

o    Build and deploy ML models, using a range of AWS technologies to support batch and streaming consumption patterns

o    Orchestrate and integrate services and components into pipelines, including the tooling for data and model monitoring in an environment with a range for first- and third- party data sources

o    Optimize pre-existing ETL, model, endpoint, and other solutions

o    Review, make enhancements to, and execute code written by matrixed set of resources across technology, analytics/BI, and data science

o    Collaborate with data & technology teams to create repeatable processes and scalable data products

o    Maintain and improve our Data Science tech stack as team and projects scale

 

 

Requirements:

        Master’s or PhD degree in a quantitative or computational field, with preference for candidates with

strong backgrounds in statistics/applied math, technology, or social science

        Minimum 8+ years of business experience delivering end-to-end data science solutions

        Applied experience related to customer/audience segmentation, A/B testing, natural language processing for operational analytics and insights, and/or recommendation engines

        Excellent communication and project management skills ability to present complex information in a concise and compelling manner, familiarity with project management best practices

        Expertise in Python, with advanced understanding of clustering, probabilistic modeling, and deep learning frameworks

        Experience with SQL and NoSQL cloud-based data stores required; AWS and Apache Spark preferred

        Experience with data workflow managers like Drake, Luigi, or Airflow in AWS, integrating ML solutions into workflows that begin with relational and NoSQL databases

        Professional-level expertise in developing and validating unsupervised learning solutions at scale

        Familiarity with data visualization applications, including Tableau, PowerBI, and/or R Shiny preferred

        Prior media and/or direct-to-consumer industry experience preferred

 

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