Fast Facts
We are seeking a Remote Data Scientist with strong Python skills to collaborate with business stakeholders, develop algorithms, and interpret complex data insights to enhance operational efficiency.
Responsibilities: Key responsibilities include designing data modeling processes, implementing machine learning algorithms, and effectively communicating data insights to stakeholders.
Skills: Required skills include advanced proficiency in Python, R, SQL, and data science libraries; strong foundation in statistics; and experience with DataOps and MLOps best practices.
Qualifications: Preferred qualifications include a BS or equivalent with 3 years of experience, and an MS/Ph.D. is a plus but not required.
Location: This is a fully remote position open only to candidates located in the US.
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.
