Merkle

Data Scientist

Job description

Company Description:

Merkle is a global data-driven, technology-enabled performance marketing agency. For over 30 years, Fortune 1,000 companies and leading nonprofit organizations have partnered with us to build and maximize the value of their customer portfolios. We work with world-class brands like Dell, T-Mobile, Samsung, GEICO, Regions, Kimberly-Clark, AARP, Lilly, Sanofi, NBC Universal, DIRECTV, American Cancer Society, Habitat for Humanity, and many others to build and execute customer-centric business strategies. With more than 9,000 smart, dedicated people in more than 50 offices around the world, we are still growing at a rate that outpaces the market.

At Merkle, we help brands make the people-based marketing transformation. Using a combination of first- and third-party data, we create, target, and measure the highly customized customer experiences that not only drive immediate results in the form of today’s response and conversion, but also build tomorrow’s increased loyalty and customer value. At the heart of these solutions is Merkle’s deep heritage in the data, analytics, and technology capabilities that enable them.

Our capabilities span people-based marketing disciplines: customer strategy, performance media, customer experience and personalization, customer relationship management, loyalty marketing, and enterprise technology services. This have cross functional teams with a lot of skills and understanding of multiple capabilities, UI/UX, Frontend, Backend, Scalability, Security, Performance, Databases, Caches, Microservices, DevOps, SOA, Integration Patterns, etc.

Merkle is a global data-driven, technology-enabled performance marketing agency. For over 30 years, Fortune 1,000 companies and leading nonprofit organizations have partnered with us to build and maximize the value of their customer portfolios. We work with world-class brands like Dell, T-Mobile, Samsung, GEICO, Regions, Kimberly-Clark, AARP, Lilly, Sanofi, NBC Universal, DIRECTV, American Cancer Society, Habitat for Humanity, and many others to build and execute customer-centric business strategies. With more than 9,000 smart, dedicated people in more than 50 offices around the world, we are still growing at a rate that outpaces the market.

At Merkle, we help brands make the people-based marketing transformation. Using a combination of first- and third-party data, we create, target, and measure the highly customized customer experiences that not only drive immediate results in the form of today’s response and conversion, but also build tomorrow’s increased loyalty and customer value. At the heart of these solutions is Merkle’s deep heritage in the data, analytics, and technology capabilities that enable them.

Our capabilities span people-based marketing disciplines: customer strategy, performance media, customer experience and personalization, customer relationship management, loyalty marketing, and enterprise technology services. This have cross functional teams with a lot of skills and understanding of multiple capabilities, UI/UX, Frontend, Backend, Scalability, Security, Performance, Databases, Caches, Microservices, DevOps, SOA, Integration Patterns, etc.

Job Description:
  • Perform advanced analytics tasks, including but not limited to predictive statistical models, customer profiling, segmentation analysis, data analysis and mining, and external data enhancement using SQL, SAS, R, Python or PySpark
  • Extract and process large quantities of data from data warehouses and other data marts in support of assignments
  • Assist in determining quantitative methods for solving client issuesAnalyze marketing metrics to identify cause-effect relationships between marketing levers and outcomes
  • Turn complex data into practical and actionable marketing insights
  • Consolidate and package up insights, analytic outputs, and action items into a well-organized, consumable package with actionable recommendations and strategies for marketers (MS Excel, PowerPoint, Word, etc.)
  • Support development of efficient and accurate project management plans for project delivery
Qualifications:
  • 2 - 5 years of industry experience required
  • Bachelors or Masters degree in Mathematics, Statistics, Economics, Finance, or Engineering required
  • Strong experience in SQL programming required
  • Statistical software: SAS, R, strongly preferred, Python, PySpark a plus
  • Must have strong experience with statistical concepts and applying statistical techniques such as regression, naïve Bayes, decision trees, clustering, factor analysis, time series, random forest, gradient boosting algorithms, etc. to solve business problems
  • Understanding of digital data including the systems and processes used to generate and manipulate it by media type (web, ad, email, mobile, etc.) a plus
  • Web Analytics (Omniture, WebTrends, Google Analytics) experience a plus
  • Experience in data visualization tools like Tableau a plus
Additional Information:

At Merkle Sokrati, we don't insist on any paid certification as a part of the hiring process.


More Information:

Our Culture: Merkle’s energy and personality lives through everything we say and do. Learn all about what defines our people and our vibe.

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