We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (17 500+ experts across 37 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!

By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.

Job Description

We are seeking a Senior Data Scientist to lead data-driven projects that drive strategic decisions and innovation. You will work closely with a team of data professionals to build and deploy advanced statistical models and machine learning solutions aligned with business goals.

Key Responsibilities:

Guide the design, development, and deployment of machine learning models and statistical analyses.
Lead end-to-end data science projects from ideation to implementation.
Collaborate with cross-functional teams to translate business challenges into data-driven solutions.
Communicate analytical findings and model results clearly to technical and non-technical stakeholders.
Promote a culture of continuous learning, innovation, and data best practices across the organization.

Qualifications

Must-Have Skills:

Python (Strong)
SQL (Strong)
Statistics

Good-to-Have Skills:

PySpark, R, C++, JavaScript, SAS, Excel
Knowledge of distributed computing tools (e.g., Hadoop, Hive, Kafka, MapReduce)
Experience with ML techniques (e.g., GLM, regression, boosting, deep learning, CNN, RNN)
Exposure to specialized ML areas like text analytics, image recognition, or graph analysis
Familiarity with big data tools and cloud platforms (e.g., Apache Spark, Azure Data Lake, Azure ML, Databricks)
Proficiency with data visualization tools (e.g., Power BI)
Version control and collaboration tools (e.g., Git, Jupyter Notebooks)

Education & Experience:

Education: Bachelor’s or Master’s in Data Science, Computer Science, Statistics, or a related field
Experience: 5+ years of experience in data science roles with proven project execution in statistical modeling, data engineering, and visualization

Other Skills & Competencies:

Strong understanding of AI and its business applications
Ability to explain complex models and insights to diverse audiences
Strong collaboration, storytelling, and presentation skills
Willingness to learn new technologies and adapt quickly in a dynamic environment