Senior Data Scientist

Who We Are

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!

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 are looking to add a Senior Data Scientist to our team! This is a Full-Time position and a Remote role.

Key Responsibilities:

• Develop and implement optimization algorithms, including gradient descent, linear programming, and curve/function fitting.
• Design and execute advanced marketing analytics techniques, such as Multi-Touch Attribution (MTA), Marketing Mix Modeling (MMM), or incrementality analysis, to evaluate and improve campaign performance.
• Write efficient SQL queries to extract, manipulate, and analyze data from relational databases.
• Build robust models and predictive algorithms using Python, with a strong focus on utilizing libraries such as pandas, scikit-learn, and scipy.
• Collaborate with cross-functional teams, including marketing, product, and engineering, to translate business problems into analytical frameworks.
• Communicate findings, insights, and recommendations effectively to both technical and non-technical stakeholders.
• Continuously identify opportunities to improve existing models and processes.

Qualifications:

• Bachelor's or Master's degree in Data Science, Physics, Engineering, Computer Science, Mathematics, Statistics, or a related field.
• Proficiency in SQL and Python programming.
• Experience with Python libraries such as pandas, scikit-learn, and SciPy.
• Strong problem-solving skills with a passion for leveraging data to drive business decisions.
• Experience with optimization techniques (e.g., gradient descent, linear programming) and curve/function fitting are nice to have.
• Strong background in marketing analytics, with hands-on experience in MTA, MMM, or incrementality analysis are nice to have.
• Excellent communication and collaboration skills.