Data Scientist - Python (US Remote)

Fast Facts We are seeking a skilled Data Scientist with expertise in Python to work remotely within the US, where you will develop algorithms and predictive models to drive business efficiency and productivity. Responsibilities: Design and implement data modeling processes, create algorithms, analyze data to support business goals, and communicate technical concepts to non-technical stakeholders. Skills: Expertise in Python, SQL, and R, with a strong foundation in statistics and machine learning; experience with data science libraries and developing machine learning models. Qualifications: BS degree with 3 years experience preferred; MS/Ph.D. is a plus; no experience required for advanced degrees. Location: Remote work available for candidates in the US only. Compensation: $100000 - $120000 / Annually Remote positions open to the US only. Data scientists work closely with business stakeholders to understand their goals and identify data-driven strategies to achieve those goals. They design data modeling processes, create algorithms and predictive models to extract the insight the business needs and help analyze the data to increase the productivity and efficiency of the business. Responsibilities: • Expertise working experience with programming languages like Python, R, and SQL • Solid understanding of statistics, probability, and machine learning • Research, design, and implement Machine Learning algorithms to solve complex problems • Communicate complex concepts and statistical models to non-technical audiences through data visualizations Required Skills: • BS or equivalent plus 3 years experience • MS/Ph.D. or equivalent; no experience required • Expert-level SQL proficiency with experience in Snowflake, dbt, and Looker • Advanced Python programming with demonstrated expertise in data science libraries (numpy, pandas, matplotlib, scikit-learn) • Strong foundation in statistics and mathematical principles underlying data science algorithms • Extensive experience in developing and deploying machine learning models, including • Feature engineering and selection, Model training, validation, and testing, Sampling and data reduction techniques • Experience in establishing and implementing DataOps and MLOps best practices • Demonstrated ability to quantify and communicate business impact through data-driven insights • Track record of identifying and leading high-impact data science initiatives • Experience in building and maintaining stakeholder relationships across all organizational levels • Excellent communication skills, particularly in explaining technical concepts to non-technical audiences The base pay for this position ranges from $100,000 - $120,000, which will vary depending on how well an applicant's skills and experience align with the job description listed above. We will accept applications until 5/25/2025.