What are the responsibilities and job description for the Data Scientist position at Softcrylic, LLC.?
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.
Do you have the right skills and experience for this role Read on to find out, and make your application.
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.
Why Work at Softcrylic?
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’re looking to add a Data Scientist to our team! This is a full-time position, and the location is in Atlanta, GA.
Job Summary :
We are looking for a highly motivated and detail-oriented Data Scientist to join our team. This role will involve working with large datasets, building and optimizing machine learning models, and collaborating with cross-functional teams to drive business outcomes.
Key Responsibilities :
- Use SQL to perform data extraction, filtering, and transformation, including joins, grouping data, table creation, and data updates or deletions.
- Develop and maintain efficient Python code for machine learning models, ensuring modularity, reusability, and proper documentation.
- Implement and maintain data processing pipelines using Python libraries such as Pandas.
- Participate in an agile work environment, including sprint planning, daily stand-ups, and retrospectives.
- Work with stakeholders to identify new opportunities to leverage data.
Key Skills and Qualifications :
You have the talent. We have the opportunities. Apply for it!
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