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Data Science Analyst

Kantar

Kantar

Data Science Analyst

Remote
Full Time
Paid
  • Responsibilities

    WE GO BEYOND THE OBVIOUS, USING INTELLIGENCE, PASSION AND CREATIVITY TO INSPIRE NEW THINKING AND SHAPE THE WORLD WE LIVE IN. TO START A CAREER THAT IS OUT OF THE ORDINARY, PLEASE APPLY...

    JOB DETAILS

    Kantar is the world’s leading data, insights, and consulting company. We understand more about how people think, feel shop, share, vote, and view than anyone else. Combining our expertise in human understanding with advanced technologies. Kantar’s25,000 people based in more than 100 countries help the world’s leading organizations succeed and grow. Nobody knows people better than Kantar. We provide insight and inspiration to help our clients, our people, and society to create and flourish in an extraordinary world.

    Our Profiles colleagues are experts in human understanding. With expertise covering brand, innovation, creative, media, commerce, and customer experience, they help clients define what brands should stand for, how to disrupt and renew their offer, how to connect with audiences, and how to win with consumers and customers.

    SENIOR DATA ENGINEER- REMOTE, ANYWHERE IN US

    ROLE DESCRIPTION

    • Architect, build, test, and deploy distributed, scalable, Machine Learning model pipelines for batch, micro-batch, and streaming workloads from datasets and sources in Kantar data stores

    • Design and development of the data flows and data stores into and within pipelines to support machine learning and operational research modelling

    • Defining clean APIs, establishing SLAs, collaborating on the components/engineered features of models of other platforms so they can better consumer our outputs

    • Implement best practices in data engineering and software engineering, test automation, and CI/CD automation for defining the life-cycle of data

    • Maintain data governance (PII, access, audit, compliance, control) in accordance with Kantar policies and industry best practice

    • Collaborate with consumers and producers of data to ensure end-to-end data quality and value.

    • Mentor staff in data management best practices

    ROLE REQUIREMENTS

    • Established, proven experience in data and pipeline engineering in enterprise environments

    • A degree in Computer Science, Engineering, AI, Machine Learning, or equivalent work experience

    • Minimum six years of production programming experience in at-scale data processing

    • Extensive work experience with SQL and Relational DBMS, Spark, and Python

    • Able to understand data science and data engineering concepts and implement as modular, functional components ready for production deployment

    • Experience with DevOps and CI/CD

    • Experience with modern software practices, Agile, and related tools (git, Jira, Confluence)Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, continuous integration and development, and operations.

    • Experience with Amazon AWS and Microsoft Azure

    • Proven experience diagnosing and resolving problems

    • Required to understand both the technical and business process flow for key strategic systems and initiatives.

    • Good verbal and written communication skills with both technical and non-technical stakeholders

    PREFERRED

    • Master's degree or higher in a relevant quantitative subject

    • Familiarity with Databricks

    • Familiarity with distributed streaming computation platforms

    BENEFITS

    We provide a comprehensive, highly competitive benefits package, including:

    • Medial plans with comprehensive, affordable coverage for a range of health services

    • Health Savings Account/FSA

    • Dental, Vision and benefits to cover unique healthcare needs

    • Wellness Program

    • 401k with matching

    • Tuition Reimbursement, Commuter benefits

    • Unlimited PTO

    PRIVACY DISCLOSURE:

    Please note that by applying to this opportunity you consent to the personal data you provide to us to be processed and retained by The Kantar Group Limited (“Kantar”). Your details will be kept on our Internal ATS (Applicant Tracking System) for as long as is necessary for the purposes of recruitment, which may include your details being shared with the hiring manager.

    KANTAR REWARDS STATEMENT

    At Kantar we have an integrated way of rewarding our people based around a simple, clear and consistent set of principles. Our approach helps to ensure we are market competitive and also to support a pay for performance culture, where your reward and career progression opportunities are linked to what you deliver.

    We go beyond the obvious, using intelligence, passion and creativity to inspire new thinking and shape the world we live in. Apply for a career that’s out of the ordinary and join us.

    We want to create an equality of opportunity in a fair and supportive working environment where people feel included, accepted and are allowed to flourish in a space where their mental health and well being is taken into consideration.

    We want to create a more diverse community to expand our talent pool, be locally representative, drive diversity of thinking and better commercial outcomes.

    Kantar is the world’s leading data, insights and consulting company. We understand more about how people think, feel, shop, share, vote and view than anyone else. Combining our expertise in human understanding with advanced technologies, Kantar’s 30,000 people help the world’s leading organisations succeed and grow.

  • Industry
    Market Research
  • About Us

    Kantar is the world’s leading data, insights and consulting company. We help clients understand people and inspire growth. We have a complete, unique and rounded understanding of people around the world: how they think, feel and act, globally and locally in over 90 markets. We don’t just help clients understand what’s happened, we tell them why and how they can shape the future.