Job Specifications
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 correct answers.
Responsibilities
Analyze raw data: assessing quality, cleansing, and structuring for downstream processing
Design accurate and scalable prediction algorithms
Collaborate with the engineering team 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 1 - 2 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, C, C++, Java, SQL)
Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
Equal Opportunity Employer
The Firm is an Equal Opportunity Employer does not discriminate on the bases of any status protected under federal, state, or local law. Applicants will be considered regardless of their sex, race, age, religion, color, national origin, ancestry, physical disability, mental disability, medical condition (associated with cancer, a history of cancer, or genetic characteristics), HIV/AIDS status, genetic information, marital status, sexual orientation, gender, gender identity, gender expression, military and veteran status, or other protected category under the law on the basis of race, color, religion, sex, age, sexual orientation, gender identity and/or expression, national origin, veteran status or disability in relation to our recruiting, hiring, and promoting practices.
The statements contained in this position description are not necessarily all-inclusive, additional duties and responsibilities may be assigned, and requirements may vary from time to time.
Compensation: $90,000.00-$122,000.00, plus bonus.
LI-Hybrid-Four days work from home, Wednesdays in office.
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