Sr. Data Scientist

*** PLEASE READ BEFORE APPLYING ***

MUST HAVE EXPERIENCE BUILDING MACHINE LEARNING MODELS IN A MEDIA ENVIRONMENT

Only candidates in the following states will be considered: Alabama, Arkansas, Florida, Georgia, Indiana, , Illinois, Kentucky, Michigan, New York, New Jersey, North Carolina, Ohio, Oklahoma, Pennsylvania, South Carolina, Tennessee, Virginia, Wisconsin

No sponsorships available for this role.

Laine Recruiting has been engaged by a results-driven marketing agency offering deeply collaborative client experiences, proprietary technology, and world-class partnerships. We’re looking to hire a Data Scientist to join a dynamic team that is a primary catalyst for growth for the organization.

Our client takes immense pride in their independent, women-owned status, their unwavering commitment to a purpose-driven approach, their B-Corp status, and their unique structure as a 100% employee-owned company (ESOP).

SUMMARY

Solve complex business problems by integrating and analyzing large datasets from diverse sources, including third-party platforms and relational databases (both structured and unstructured). Utilize data mining, visualization, predictive, prescriptive, and mathematical optimization techniques to identify actionable insights. Mentor members of the Marketing Science and Campaign Analytics teams, assisting with training and complex client deliverables.

KEY OUTCOMES & RESPONSIBILITIES

Key Outcome: Understand Business Problems and Translate into Data Requirements

Key Responsibilities:

• Collaborate with Account Management, Channel Activation, and Integrated Planning teams to define business problems solvable by data science.
• Determine the appropriate methodology and mix of methodology, techniques and analytic tools to address business challenges.
• Develop and deliver advanced analytic products and solutions, including clustering/segmentation, marketing and media mix modeling, attribution measurement and optimization, ROI/RoAS forecasting using regression modeling, random forest, machine learning, and other techniques.
• With leadership assistance as needed, offer thought leadership for project recommendations.
• Mentor Data Scientist I and II in more complex methodologies and tools, demonstrating technical leadership for the team.

Key Outcome: Develop Marketing Science Products and Services.

Key Responsibilities:

• Collaborate with Data Engineering and Software Development teams to perform complex data transformations and establish automated data processing for predictive/prescriptive analytics products and services.
• Help stakeholders and clients understand the principles and methodologies behind the analytic products and services.
• Research and explore tools and techniques that continue to elevate Marketing Science offerings in pursuit of Agency capability awareness, recognition and growth, making recommendations to Principal, Manager, and Director.
• Assist Data and Software Engineers with Marketing Science applications relying on model algorithms and putting code into production.
• Identify areas of improvement for enhancing process efficiency while maintaining a high degree of accuracy.

Key Outcome: Construct client deliverables.

Key Responsibilities:

• Collaborate with Account Management, Integrated Planning, and Channel Activation teams to provide actionable insights, grounded in the client business context, from Marketing Science solutions.
• Present information using data visualization techniques.
• Collaborate with Data engineering team to implement scoring and other algorithms in production environments using SQL, Python, or other languages.

Other Responsibilities:

With leadership assistance as needed, ability to define problems, collect and review and transform data, identify and evaluate data patterns and validate statistical assumptions, establish facts, draw valid conclusions, package insights, and present actionable business recommendations grounded in client business context.

QUALIFICATIONS

REQUIRED QUALIFICATIONS

• Requires a Bachelors Degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
• 5+ years of relevant analytics experience, specifically in machine learning and advanced techniques.
• Expert knowledge of statistical modeling and machine learning techniques such as linear and logistic regression, decision trees, neural networks, random forest, k-means cluster analysis, time series analysis and forecasting
• Expert in forecasting/predictive analytics, quantitative analytics, statistical analysis, multivariate testing, and optimization algorithms
• Deep experience working in cloud environments such as AWS, Snowflakes, and Azure; with the ability to provide requirements for environments needed to delivery Marketing Science solutions
• Extensive use of relational databases including Access, Oracle, SQL Server
• Expert technical and programming skills in SQL and Python (or R studio) and other statistical or machine learning tools
• Possess the capability to independently conduct research and identify the most effective solutions for problem-solving. This entails a proactive approach to gathering information, analyzing data, and applying insights to address complex challenges within the business context
• Strong project management skills; must be well-organized and able to multi-task. Highly dependable and detail-oriented; excellent at setting and meeting deadlines with the ability to work well under tight time constraints.
• Ability to interact with all levels of the Agency, including Senior Leadership, demonstrating proficiency in Data Science but also the values and behaviors most dear to B/T
• Willingness to enthusiastically mentor members of the Marketing Science team

PREFERRED QUALIFICATIONS

• Master’s degree in Computer Science, Data Science, Mathematics and/or Statistics
• Experience in media data
• Relevant experience in the healthcare industry

COMPENSATION

Our client is committed to providing pay transparency of their compensation philosophy and ensuring equitable pay practices for their employee owners. The base salary range will depend on geographic location as there is a 20-30% increase on base salary for higher cost markets. The base range is $110,000-135,000.

In addition to the base salary there are several other significant compensation elements totaling over 20% in additional cash incentives. This includes their ESOP (employee stock ownership plan), an annual bonus and a 401k match (up to 5%). In addition, they offer a heavily subsidized full benefits package and paid time off benefits (4+ weeks), including 100% paid parental leave.