Data Scientist

  • Beam,
  • San Francisco, CA
SaaS, Spark Python/SciPy R, Cassandra, ElasticSearch, MongoDB, MySQL, Java, Python
Full Time
Telecommuting not available Travel required to 10%.

Job Description

About us

Prevention, detection and reporting of criminal and other suspicious activity is a widespread, costly problem for financial services companies. Our mission is to constantly apply and adopt the latest technological trends and creative innovation to change the way companies detect money laundering, terrorism and related crime. Making it more affordable, yet much more sophisticated. We aim to help our partners go beyond satisfying government requirements, to minimize reputational risk and genuinely address harmful activity

As a Data Scientist at Beam in its very early stage you will be a critical asset responsible for many tasks and systems that span our entire product and internal infrastructure. As part of the team you will be part of shaping the technological landscape, build new products, add and improve features, scale and maintain the systems that keep our customers happy. You will also build internal tools and systems to help streamline and optimize internal initiatives.

Who are you?

You are a seasoned data scientist who has real world machine learning experience. You feel equally comfortable performing data mining and machine learning tasks on your laptop as you are on large compute environments. You take pride in owning and maintaining the technical work environment. You enjoy telling the data story and are capable of communicating deep analytical insights to less experienced members of the team and our customers. Lastly, you have been looking for an opportunity where you can leverage your passion and skills for a greater good against financial crime.

What You'll Do

  • Collaborate with the team to build a distributed cloud based SaaS solution for transaction monitoring
  • Detect patterns of money laundering and criminal activity by data mining financial transaction and profile data
  • Build scalable machine learning models, algorithms and analytics on large datasets
  • Explore, evaluate and integrate new data pipelines
  • Participate in client interactions

What makes you a perfect fit?

  • Business driven and result-oriented individual
  • Deep understanding of statistical modeling, machine learning, data mining concepts, and a track record of solving problems with these methods
  • Creative thinker knowing when and how to leverage Spark and MapReduce for data processing
  • Solid experience with one or more machine learning or statistical tools such as R and Python/SciPy
  • Passionate about writing reusable quality code
  • Effective communication & collaboration skills
  • Advanced degree in Statistics, Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, Operations Research, or a related field

Extra Credit

  • Experience working with data on HDFS, Cassandra, ElasticSearch, MongoDB, MySQL
  • Built backend systems using Java and Python
  • Worked in a financial services context related to risk management
  • Applied graph mining and visualization techniques
  • Experience with trading systems and bank environment
  • Experience in blockchain technology and crypto-currency
Dice Id : RTX1c77c8
Position Id : 360314
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