Senior Data Scientist

Company Description

Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks.

Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities.

Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce.

Celebrated by Ad Age as Data and Insights Agency of the Year, U.S Campaign's Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world's leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.

Job Description

What you'll do :

Our Data Scientists deliver analytic solutions across a wide variety of client applications. We build inferential and predictive models, including machine learning algorithms and AI;

we process, integrate and manipulate big data with distributed systems and customer data pipelines; we synthesize results and translate findings into compelling stories that resonate with clients.

As a Senior Data Scientist , you'll solve complex marketing and business challenges-from cross-channel media and customer experience optimization to segmentation, targeting and business strategy-by accessing, integrating, manipulating, mining and modeling a wide array of data sources.

Job Responsibilities :

• Translating and reframing marketing and business questions into analytical plans.
• Using distributed computing systems to ingest, access and integrate disparate big data sources.
• Conducting extensive exploratory analysis to identify relevant insights, useful transformations and analytical applications.
• Applying quantitative techniques, including statistical and machine learning, to uncover latent patterns in the data.
• Building and testing scalable data pipelines or models for real-time applications.
• Summarizing, visualizing, communicating and documenting analytic concepts, processes and results for technical and non-technical audiences.
• Collaborating with internal and external stakeholders to establish clear analytical objectives, approaches and timelines.
• Sharing knowledge, debating techniques, and conducting research to advance the collective knowledge and skills of our Data Science practice.

Qualifications

We're looking for rigorous analytic training and 3+ years professional experience in a data science or analytics role, which typically includes :

• A Bachelor's or Master's degree in a quantitative field such as statistics, mathematics, econometrics, operations research, data science, computer science, engineering, marketing or social science methods.
• Hands-on experience mining data for decision-focused insights.
• Hands-on experience running common statistical or machine learning procedures, such as descriptive statistics, hypothesis testing, dimension reduction, feature transformation, supervised or unsupervised learning.
• Hands-on experience using Python or R, SQL, and distributed computing systems such as Hadoop or AWS. Familiarity with Linux and / or Spark preferred.
• Demonstrated interest in marketing analytical applications.
• Demonstrated self-starter who thrives in a fast-paced environment with flat structure.

Got what it takes? We'd love to hear from you!

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Additional Information

Additional Information

Digitas is an equal opportunity employer.

Compensation Range : $70,000 - $105,000 annually. This is the pay range the Company believes it will pay for this position at the time of this posting.

Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time.

For this role, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off." If your requirements fall outside of this range, you are still welcome to apply.

The Company anticipates the application window for this job posting will end 9 / 17 / 2024.