Data Science Engineer

Company Description Merkle is a leading data-driven, global performance marketing agency that specializes in delivering unique, personalized customer experiences across platforms and devices. For over 30 years, Fortune 1000 companies and major nonprofit organizations have partnered with Merkle to maximize the value of their customer portfolios. The agency's background in data, technology, and analytics forms the foundation for its unmatched comprehension of consumer insights, which drive its people-based marketing strategies. Its combined strengths in performance media, customer experience, customer relationship management, loyalty, and enterprise marketing technology promote improved marketing results and a competitive edge. Headquartered in Columbia, Maryland with over 9,600 employees, Merkle has more than 50 additional offices across the US, EMEA, and APAC. In 2016, the agency joined the Dentsu Aegis Network. For more information, contact Merkle at 1-877-9-Merkle or visit www.merkleinc.com. Job Description The Merkle Data Science Engineer supports Identity Resolution for the Merkury platform. In this role, you will deliver results that meet technical specifications, adapt to changing priorities, create quality code, and support team members through code reviews to ensure production grade rigor. You will also develop proof-of-concept data solutions to address challenges. This role reports to a VP, Data Science. Qualifications - 1+ years of experience in a similar Data Science role - Python coding experience and SQL scripting skills - Experience building deployable Python applications - Experience working with large datasets using Elastic MapReduce or Snowflake - Experience with distributed architectures, specifically Amazon Web Services cloud computing - Familiarity with Linux operating system - Demonstrated experience building code on a team in a shared development environment - Bitbucket code repository and Jira workflow familiarity - Educational background in an applied quantitative field or 3+ years of related work experience - Understanding of the ad tech ecosystem preferred - Experience with exploratory Data Analysis and statistics - Knowledge of supervised and unsupervised Machine Learning algorithms Additional Information The anticipated salary range for this position is $113,000-$130,000, determined by relevant experience, knowledge, skills, and other appropriate factors. Medical, dental, vision, 401(k) matching, paid time off, and other benefits are available. Visit dentsubenefitsplus.com for more information on dentsu benefits. About dentsu Dentsu is the network designed for what's next, helping clients anticipate and plan for disruptive opportunities in the sustainable economy. We adopt a people-centered approach to business transformation, integrating Japanese innovation with a global perspective to stimulate client growth and societal impact. We aspire to make meaningful progress and strive to be a force for good—for our people, for our clients, for the industry, and for society. We prioritize our people, fostering an environment for growth, learning, and thriving. We incorporate diversity into our mindset, our solutions, and our teams to create a diverse, equitable and culturally fluent environment. Dentsu is committed to Equal Opportunity Employment and does not discriminate against job applicants or employees on the basis of age, sex, sexual orientation, race, color, creed, religion, ethnicity, national origin, alienage, citizenship, disability, marital status, military or veteran status, genetic information, or any other protected basis under the applicable federal, state or local laws, regulations or ordinances. Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and/or certain state or local laws. If you need assistance completing any forms, participating in the application process, or to request an accommodation in connection with a job at our company, please contact your recruiter.