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Associate Director, Analytics (Advanced Measurement) Baltimore United States image - Rise Careers
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Associate Director, Analytics (Advanced Measurement) Baltimore United States

As Media.Monks continues to expand our Global Enterprise Analytics capabilities, we are looking for an Associate Director to help us further scale our advanced analytics and modeling capabilities. In this role, you will be responsible for a variety of projects. These include, but are not limited to, developing and implementing advanced statistical models and machine learning algorithms to solve complex business problems. This also includes supporting junior members in developing measurement frameworks, test and learn roadmaps, dashboard and data visualization builds, and audience segmentation. This role is a combination of internally facing responsibilities - services development and operations - and externally facing responsibilities - working with partners, clients, and Media.Monks Growth and Account Management teams across engagements.


Requirements


We are looking for someone who is experienced and familiar with the following tools:


  • Strong experience in programming languages such as Python, R, and SQL
  • Experience in statistical modeling, machine learning, and optimization techniques
  • Strong experience in data science and analytics with a focus on forecasting, optimization, and time series methodologies
  • Experience working with attribution and forecasting models - with knowledge of different approaches such as time series, causal, ridge regression, Bayesian


Teams


Media.Monks is a cross-functional organization; our analysts work closely with other teams across data, media, strategy, and consulting to ensure client projects are completed with the highest quality. In addition, we always believe that working across teams enables stronger collaboration and deepens each member’s understanding of the broader media and business ecosystems. 


What we’re looking for


  • A Bachelor’s or Master’s degree in computer science, operations research, statistics, applied mathematics, management information systems, or a related quantitative field or equivalent work experience such as, economics, engineering and physics
  • 3+ years of experience with any combination of analytics, marketing analytics, and analytic techniques for marketing, customer, and business applications
  • Hands-on experience using SQL, Google BigQuery, Python, R, and Google Cloud (GCP) related products
  • Hands-on experience working with common ETL tools
  • Expertise across programmatic display, video, native, and ad serving technology, as well as digital advertising reporting, measurement, and attribution tools
  • Adept to agile methodologies and well-versed in applying DataOps methods to the construction of pipelines and delivery
  • Demonstrated ability to effectively operate both independently and in a team environment


Responsibilities


  • Develop and implement advanced forecasting models and algorithms to predict business outcomes accurately, and manage them through the entire lifecycle
  • Build optimization models and algorithms to optimize business processes and resource allocation
  • Own and direct research initiatives from inception to functional prototypes and ultimately to production capabilities
  • Uphold our high engineering standards by bringing consistency and repeatability to the training, evaluation, and deployment processes
  • Collaborate with cross-functional teams to identify business problems, gather requirements, identify data sources, and provide data-driven solutions
  • Develop sustainable, consumable, accurate, and impactful reporting on model inputs, model outputs, observed outputs, business impact, and key performance indicators

 

What we offer:


  • Competitive salary Note: Salary is determined by a combination of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography.
  • Full coverage health insurance including Medical, Dental, and Vision
  • 401K with Company contribution 
  • Flexible vacation time
  • Paid Parental Leave after 1 year of service
  • Cell phone plan reimbursement


#LI-SW1


About Media.Monks:


Media.Monks is on a mission to create a new future for this industry. Our vision? Build everything with a belief that changing for good comes from changing who does the work. Yep, that means you. Welcome to the party—one global, cross-cultural collective with a passion for using our skills to create better and a better world. That’s how we’re able to connect the dots between data, content, digital media, and technology from everywhere we are—a true end-to-end model. Joining the Media.Monks collective means having the opportunity to create award-winning work with some of the most gifted, focused, joyful, talents from all over the world.


At Media.Monks, you’ll be joining a highly ambitious company on a global mission to win the decade by changing the industry for good. Partner to 8 of the 10 most innovative companies in the world, Media.Monks works with established as well as up-and-coming global, regional, DTC and B2B brands, helping them own their data and build out customer ecosystems to elicit smart, efficient, high-impact engines for growth. We deliver table stakes quickly, creating cost efficiencies from day one to push up the creative effectiveness of our work with every cycle.


We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us. 

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Media.Monks, the digital-first operating brand of S4Capital plc, connects content, data & digital media and technology services across one global team built from the bottom up.

5 jobs
DEPARTMENTS
Data
SECTOR
Marketing and Advertising
TEAM SIZE
10000+
LOCATION
Remote
DATE POSTED
April 25, 2023

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