Data Scientist at Raptive

, , -

Full Time

Start Date

Immediate

Expiry Date

21 Apr, 26

Salary

150000.0

Posted On

21 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistics, Industrial Systems Engineering, Real Time Advertising Markets, Large Data Sets, Snowflake, Hive, Presto, BigQuery, Scripting, Bash, Python, AWS, Statistical Software, NumPy, Scikit-Learn, TensorFlow, Keras, Pytorch, XGBoost, Convolutional NN

Industry

technology;Information and Internet

Description

Raptive is seeking a Data Scientist to join our RevOps Data Science team. Your mission is to leverage our vast data set to surface meaningful insights that drive decision-making across the business. Given the broad scope of this effort, the ideal candidate will be driven by understanding and improving work processes and developing solutions that potentially use a wide variety of technologies. As a Data Scientist, you will be responsible for helping to derive meaningful insights from large amounts of data, building metrics, finding answers, and creating dependable, repeatable solutions. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. What you’ll be doing: Design and analyze experiments to improve revenue Classify audience and content to support programmatic direct and indirect sales Deliver evolutionary floor price guidance Visualize complex systems Build deep understanding of data generating processes The skills and experience you bring to the job: Graduate degree or equivalent in Statistics, Industrial Systems Engineering, or comparable field Familiarity with real time advertising markets Familiarity with processing large data sets (eg with Snowflake, Hive, Presto or BigQuery), scripting (eg Bash or Python), the AWS environment, & statistical software (eg NumPy, scikit-learn, R) Familiarity with cutting edge classification and regression libraries (eg TensorFlow, Keras, Pytorch) and algorithms eg (XGBoost, Convolutional NN, etc) Familiarity with deploying, scaling, and maintaining data science models in production environments, including experience with cloud platforms, containerization, orchestration, or related tools. About Raptive Raptive is a new kind of media company built for creators and home to one of the largest and most diverse audiences on the internet. Raptive combines its position as the world’s largest ad management platform with a comprehensive suite of monetization, audience and business solutions that enable creators to turn their passions and talents into thriving independent companies and enduring brands. We stand for the future of a diverse, open internet powered by the creativity and entrepreneurship of the independent creators and publishers it serves. To date, Raptive has paid over $2.5 billion to thousands of independent creators. Join us in creating a more equitable and inclusive future for media. Raptive was recognized as a Fortune 100 Best Places To Work for 2024-2025. The base salary range for this position is $100,000-$150,000. The range provided is Raptive’s reasonable estimate of the annualized base compensation for this role. The actual amount may be higher or lower, based on non-discriminatory factors such as experience, geographic location, knowledge, skills and abilities. This role is eligible for additional incentive compensation that isn’t included in the posted range. For more information, visit www.Raptive.com or follow us on LinkedIn or Instagram. Raptive is committed to diversity, equity, and inclusion. We believe we are most impactful when people with a wide range of backgrounds, experiences, and identities come together with a common purpose. We encourage candidates from all backgrounds to apply. Raptive is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please reach out to a member of our recruiting team.

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Responsibilities

As a Data Scientist, you will design and analyze experiments to improve revenue and classify audience and content to support sales. You will also visualize complex systems and build a deep understanding of data generating processes.