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Data Scientist

Job Title: Data Scientist
Location: San Francisco
Industry:
Salary: Circa $160,000
Start Date: ASAP
Duration: ASAP
REF: AAJR5
Contact Name: Jason Rumney
Contact Email: jason@intelletec.com
Job Published: 9 days ago

Job Description

A fast growing Fintech company based in San Francisco are looking for a Data Scientist to take part in building solutions using advanced analytics and statistical modeling techniques. 

My client are a Series A  funded company who's investors has built an exceptional record of backing fintech companies including SoFi, LendingHome and Motif Investing.

The role: 

As a Data Scientist, you will work to recognize patterns and integrate your solutions and techniques into our products and our processes. You will have a high degree of authority and autonomy, manage multiple high-priority tasks in a timely manner, and collaborate across the business. You will need to be innovative, detail-oriented, team-focused, strategic and effective in new and changing environments.

Responsibilities:

  • Leverage external data sources to support customer acquisition and retention efforts
  • Track behavioural and demographic trends across customer segments to grow our member base
  • Utilize natural language processing algorithms to create insights from raw data
  • Develop deep learning and other suitable machine learning models to predict insights from conversational data
  • Apply data mining and machine learning techniques to large structured and unstructured datasets
  • Partner with various business functions (sales, marketing, commercial real estate, etc.) to formulate and define challenges, solve problems, and identify opportunities
Skills:
  • Masters or PhD in Statistics, Computer Science, Physical Sciences, Economics or a related technical field
  • 3+ years industry experience in data-science or analytics
  • Experience in working with data technologies such as Spark, Mahout, MongoDB, etc.
  • Advanced skills in R, Java, Scala
  • Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised technique
  • Experience with performing data analysis using Python (numpy, pandas, etc.)
  • Advanced data manipulation skills (SQL, NoSQL, Fuzzy matching, Web Scraping, Text Mining)
  • An entrepreneurial spirit as well as passion for solving difficult challenges through innovation and creativity, with a strong focus on results
  • Ability to work independently, as well as collaborate in a team
  • Eager to produce results and drive forward progress while managing deadlines
  • Legal authorization to work in the U.S
Benefits:
  • Early equity in a startup that is revolutionizing the Fintech Market
  • Competitive package of base pay and stock options
  • Generous health, dental and vision coverage for employees and family members, along with commuter pre-tax program
  • Unlimited vacation policy
  • Freedom to stretch the boundaries of your past work experience, learn skills outside of your immediate job description and grow your career
  • Autonomy, flexibility and a flat corporate structure