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Softcrylic, LLC. is seeking a Data Scientist for a fully remote, full-time role in the United States. You will develop optimization models and marketing analytics solutions to drive campaign performance, collaborating across marketing, product, and engineering teams.
You should have a strong foundation in SQL and Python, with experience in pandas, scikit-learn, and SciPy. Excellent communication and problem-solving skills are essential for translating data into actionable insights.
For more than 20 years, we have been working with organizations large and small to help solve business challenges through technology. We bring a unique combination of engineering and strategy to Make Data Work for organizations.
Our clients range from the travel and leisure industry to publishing, retail and banking. The common thread between our clients is their commitment to making data work as seen through their investment in those efforts.
In our quest to solve data challenges for our clients, we work with large enterprise, cloud based and marketing technology suites. We have a deep understanding of these solutions so we can help our clients make the most of their investment in an efficient way to have a data driven business.
Softcrylic now joins forces with Hexaware to Make Data Work in bigger ways!
Softcrylic provides an engaging, team-focused, and rewarding work environment where people are excited about the work they do and passionate about delivering creative solutions to our clients.
We are looking to add a Data Scientist to our team! This is a full-time position and a remote role.
Softcrylic is a data consulting firm that is part of Hexaware. We bring a unique combination of strategy and engineering to the ever increasing complex problem of data. We tackle data challenges at the level of data capture and validation through data modeling and activation. We help organizations further benefit and understand their data through our engineering expertise on Microsoft Azure and Amazon AWS alongside Hexaware’s extensive experience and capacity in Engineering and AI.