Requirements: English
Company: PeopleScout
Region: Krakw , Lesser Poland Voivodeship
We are seeking a Senior Data Scientist to join our thriving and growing data organization. As part of a remote-first team, you will contribute to strategic data science and machine learning initiatives, focusing on pricing analytics and recommender systems . This is an opportunity to leverage your expertise in statistical analysis , model development, and mentorship while collaborating with a talented team of data engineers, cloud specialists, and BI professionals.
Our data organization consists of a few scrum teams with established strengths in data engineering , cloud computing , data warehousing , and business intelligence . To expand our capabilities, we are embarking on innovative projects in data science and machine learning, especially within areas such as pricing and matching.
Design, build, and implement robust machine learning models tailored to Pricing, Matching and Recommender systems.
Work closely with data engineers, business and data analysts, and other scrum teams to ensure alignment and integration across projects.
Stay abreast of industry trends, proposing innovative solutions to enhance our data science and machine learning capabilities.
5+ years of experience in data science roles, with a proven track record in machine learning, statistical modeling, and deploying production-grade models.
~ Proficiency in Python and familiarity with machine learning frameworks such as LightGBM , XGBoost , TensorFlow , or similar tools.
~ Strong problem-solving ability and analytical mindset.
~ Experience with AWS cloud services.
Understanding of MLOps workflows.
Background in pricing analytics or recommender systems .
What''s in it for me?
Strategic Projects be a part of initiatives with high visibility and significant organizational impact.
Influence on technical standards and the future of data science practices in the company.
Remote work.
Competitive offer package including multisport card, health insurance, vouchers, and medical coverage with free dental care.
One extra day annually to use for holiday.