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Senior Data Scientist

Learn more about Acxiom
Acxiom

Acxiom

Senior Data Scientist

Remote
Full Time
Paid
  • Responsibilities

    This role is very dynamic and diverse requiring specific analytic, mathematic, programming, and statistical skills utilized in the execution of data analysis, statistical modeling, applying analytic solutions and reporting for clients. Analytics related to both online and offline marketing primarily B2C, B2B experience a plus.

    *This role can be homebased almost anywhere in the U.S.

    WHAT WE NEED:

    We are looking for a well-rounded Data Scientist that has an academic and applied background in statistics and machine learning, along with good communication skills.

    WHAT YOU'LL HAVE:

    • Strong experience with machine learning predictive models, clustering (segmentation), and data visualization.

    • End-to-end experience developing approach/methodology given business need - ETL/EDA, data quality analysis, model development and, scoring, preparation, presentation of results and deployment into production environment.

    • Experience with a variety of analytical environments especially GCP, also AWS, Azure, including strong experience with Python, R, SQL. Plus Looker, Tableau, Power BI, Excel and PowerPoint.

    • BigQuery and Vertex AI a plus.

    • Bachelor’s or graduate degree in analytics, data science, statistics, computer science or related field, plus 5+ yrs work experience(not just research), along with strong business acumen.

    • Experience with both 1st party and 3rd party data a plus.

    WHAT WILL SET YOU APART:

    • Strong communication and presentation skills, ability to maintain timeline (stay on task)

    • Strong team player, flexible, and creative

    • Ability to convince others given complex analysis (match up with audience)

    • Ability to learn and lead with minimal oversight, work on several projects at same time

    • Identity resolution experience, data with multiple levels and sources - aggregating & connecting

    • Experience with marketing related analytics/channels/creative/metrics, especially digital

    • Passion/Curiosity around newer techniques, ie deep learning

    Why Acxiom? We pride ourselves on cultivating an environment that is inclusive, flexible, and full of opportunities for growth. Many of our associates stay at Acxiom for decades, which speaks to our love for and dedication to our associates. Acxiom repeatedly wins company awards including Great Places to Work, Best Workplaces for Innovators and Women. If you want to work at a tech company that prioritizes innovation, empowers diversity, believes in work-life balance, provides world-class associate training and development, and offers great benefits, this IS the place for you!

    Acxiom is an affirmative action and equal opportunity employer (AA/EOE/W/M/Vet/Disabled) and does not discriminate in recruiting, hiring, training, promotion or other employment of associates or the awarding of subcontracts because of a person's race, color, sex, age, religion, national origin, protected veteran, military status, physical or mental disability, sexual orientation, gender identity or expression, genetics or other protected status.

    Attention Colorado, California, Connecticut, Maryland, Nevada, New York City , Ohio, Rhode Island, and Washington Applicants: This position is not located in the aforementioned locations but applications for remote work may be considered. For information about this role under state or local equal pay or pay transparency laws, please contact recruit@acxiom.com .

  • Industry
    Information Technology and Services
  • About Us

    Acxiom is a customer intelligence company that provides data-driven solutions to enable the world’s best marketers to better understand their customers to create better experiences and business growth. A leader in customer data management, identity, and the ethical use of data for more than 50 years, Acxiom now helps thousands of clients and partners around the globe work together to create millions of better customer experiences, every day.