Harnham
Senior Data Scientist
Remote, USA
Base pay range: $150,000.00/yr - $170,000.00/yr
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities
Analyze raw data: assessing quality, cleansing, and structuring for downstream processing
Design accurate and scalable prediction algorithms
Collaborate with engineering teams to bring analytical prototypes to production
Generate actionable insights for business improvements
Qualifications
Bachelor's degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
At least 2 - 4 years of experience in quantitative analytics or data modeling
Deep understanding of predictive modeling, machine learning, clustering, and classification techniques, and algorithms
Fluency in a programming language (Python, Java, SQL)
Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
Seniority level Mid-Senior level
Employment type Full-time
Job function Research, Business Development, and Engineering
Industries Education and Higher Education
Benefits
Medical insurance
Vision insurance
401(k)
#J-18808-Ljbffr
Base pay range: $150,000.00/yr - $170,000.00/yr
The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Responsibilities
Analyze raw data: assessing quality, cleansing, and structuring for downstream processing
Design accurate and scalable prediction algorithms
Collaborate with engineering teams to bring analytical prototypes to production
Generate actionable insights for business improvements
Qualifications
Bachelor's degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
At least 2 - 4 years of experience in quantitative analytics or data modeling
Deep understanding of predictive modeling, machine learning, clustering, and classification techniques, and algorithms
Fluency in a programming language (Python, Java, SQL)
Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
Seniority level Mid-Senior level
Employment type Full-time
Job function Research, Business Development, and Engineering
Industries Education and Higher Education
Benefits
Medical insurance
Vision insurance
401(k)
#J-18808-Ljbffr