Job Type:
Full Time
Education: BE, BTech IT, BSc Cs, BCA, ME, MTech , MCA, MSc IT
Skills:
Python, .net, React Native, Django, Javascript, HTML, CSS, Typescript, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Coimbatore, Data Science, Java, Adobe XD, Figma, php, wordpress, Artificial Intelligence, Excel
About Us
Powering Performance Marketplaces in Digital Media
At QuinStreet, we are pioneers in driving decentralized online marketplaces that connect searchers and consumers with brands. Operating within one of the nation’s largest media networks, we specialize in virtual and private-label marketplaces.
Our cutting-edge segmentation and AI-driven matching technologies enable consumers to find better solutions and brands to reach their target audience with precision. By focusing on performance marketing, we ensure brands pay only for results.
Leveraging over 20 years of online media experience and billions of dollars in media investments, our campaign-results-driven matching engines and optimization algorithms deliver exceptional results for both consumers and brands.
We stand by:
- The direct measurability of digital media
- The innovation of performance marketing
- The power of advanced technology
Job Category
We are seeking a highly skilled Data Scientist to join our team and play a critical role in developing algorithms and predictive models for pricing, targeting, demand fulfillment, and fraud detection within our marketing platform. This position will collaborate closely with the VP of Email Operations to craft optimization strategies for our re-engagement campaigns and ensure that we deliver the right message to the right consumer at the right time.
Responsibilities
- Utilize machine learning and statistical techniques, including classification and regression, to create models for segmenting and targeting consumers, aiming to reduce complaints and enhance engagement.
- Experiment with and build models to improve the functionality of our Email marketing platform and boost yield.
- Collaborate with Engineering and Business teams to develop scalable and reliable solutions for various business units.
- Conduct numerous experiments in a dynamic, analytical environment, adapting your work based on results.
- Contribute to connecting millions of consumers with the products and services they are seeking.
Qualifications
- 5+ years of experience in software development, machine learning, or data science.
- Master’s degree in Computer Science or a related field, or equivalent work experience.
- Extensive experience with applied machine learning, statistical learning, predictive modeling, feature engineering, and data cleaning.
- Proficient in both supervised and unsupervised learning on large datasets.
- Ability to work independently and collaborate effectively with your team.
- Strong sense of ownership and commitment to high-quality code.
- Proficient in building production-level code in Python with clean, understandable code.
- Experience with deep learning or AI is a plus but not required.
- Knowledge of ML APIs and a solid understanding of model functionality.
Equal Opportunity Employer
QuinStreet is an equal opportunity employer. We do not discriminate based on race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity, or any other characteristics protected by law.
For more information on how we handle employee privacy, please review QuinStreet’s Employee Privacy Notice.
