Director, Data Science – Pharma Media

About us:

Spring & Bond is a digital media agency and consultancy specializing in helping pharmaceutical and medical device manufacturers create robust, omnichannel media strategies for both healthcare professionals (HCPs) and consumer audiences. We emphasize transparency and client empowerment through comprehensive services, including customer journey planning, media strategy and activation, technology evaluation, in-house capability development, and training.

We are looking for a Director, Data Science to helm our data science initiatives and drive the development and implementation of advanced data-driven solutions. You will oversee a team of talented data scientists, set the strategic direction for data modeling, and ensure the effective use of machine learning and statistical methodologies to support business objectives. Your leadership will be crucial in fostering a data-driven culture and enhancing the decision-making capabilities of both Spring & Bond and its clients.

Responsibilities

• Lead and manage the Data Science team, providing mentorship and fostering a collaborative environment

• Develop and execute the data science strategy, aligning it with business goals and objectives

• Oversee the design, implementation, and optimization of predictive models and machine learning algorithms

• Partner with cross-functional teams including software engineers, product managers, and business units to deliver solutions that delight our customers

• Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal insights hidden within huge volumes of numeric and textual data

• Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation

• Translate the complexity of your work into tangible business goals and communicate insights through compelling data visualizations

• Define business KPIs and track progress, ensuring data accuracy, integrity, and security throughout the data lifecycle

• Provide expert analysis on digital trends, user behavior, consumption patterns, and product performance

• Manage digital data infrastructure, maintaining data health and quality

• Develop and maintain technical design documents, including system flows, data flows, and component interaction diagrams

• Support the development of measurement strategies, including learning agendas, test plans, and measurement frameworks

• Meet regularly with key stakeholders to support all digital data needs and challenges

• Educate research and other business units on data best practices and data infrastructure

Qualifications

• Bachelor's Degree in Data Science, Statistics, Business, Mathematics, Information Technology, or related field (Master’s or PhD preferred)

• 9+ years of experience in data analytics with a Bachelor's Degree, 7+ years with a Master's Degree, or 4+ years with a PhD

• At least 4 years of experience with machine learning and relational databases

• Proven experience in manipulating data using SQL, Python, and other programming languages

• Advanced skills in data collection and visualization tools like Domo, Tableau, and Microsoft Excel

• Understanding of media metrics, digital and social analytics, ad technology, and TV ratings

• Strong project management skills with experience managing multi-team workflows

• Proven track record of building and maintaining client relationships

• Willingness to travel as required

The Ideal Candidate

• Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea

• Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers

• A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond

• Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning

Spring & Bond is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Spring & Bond is a woman-owned business.

Not everyone will match the above qualifications 100%. If your experiences don’t perfectly align, but you think you’d be a great addition to our team, we’d still love to hear from you.