Data Scientist - C12 New York, NY - CTS-07302021-R21010964

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Compliance Technology is evolving a sophisticated next generation Global Surveillance Solution which works towards understanding and detecting risky behavior by evaluating the firm’s E-Mail and Chat communications.

The Data Science team performs research, develops new features and uses various techniques to improve the quality of the models detecting risk. The team perform complex analytical tasks that require deep understanding of the data and the its quality.

As part of their work, the team members work with many stake holders including business partners, software developers, product owners and additional teams.

Role / Position Overview

As a Data Scientist on the team, you will take part in the development of our models and tools to expand and improve the risk coverage we provide. In addition, the team is in charge of providing meaningful insights on the data to our clients by performing complex analysis on big data.

Your daily work will include data extraction in our big data environment, analysis, enhancement of our existing tools and models and as well as creation of new models, according to our client’s needs and requirements.

You will be responsible for end-to-end projects, starting from understanding the requirements, creating research proposals, implementation of the research by exploring different methods and algorithms, documenting and presenting results.

Our team includes junior and more senior members, and we value mutual help and involvement in team’s work. You will be expected to contribute to the team in various aspects – knowledge sharing, contribute to our shared code library, establish best practices and methodologies.

We work in agile methodology and aim to have short and well-defined iterations with good documentation of experiments and new developments.

Key Responsibilities:

• Use analytical and statistical methods, programming and data modeling to analyze large amounts of data and come up with conclusions
• Break apart problems, providing insight into your recommendations and findings to both technical and non-technical partners
• Develop an in depth understanding of our data, model and goals
• Collaborate within the team, and with the engineering, BI and product teams
• Generate and test hypotheses, designing experiments to answer targeted questions of advanced complexity
• Documents projects including business objectives, data gathering and processes, leading approaches, final algorithm, and detailed set of results and analytical metrics
• Understand our client’s needs and priorities
• Become familiar with our big data environment and data extraction methods
• Be the owner of your tasks. Have end to end responsibility from planning stage to presenting results

? Criteria/Qualifications

Must Have

• 3+ years of experience working in the analytics field
• 2+ years’ professional data science experience
• 2+ years’ experience coding in python for data science related projects
• knowledge of probability, statistical and machine learning models with proven track record in choosing, modifying and applying advanced algorithms to address practical problems
• 2+ years of proficient hands-on coding skills in python
• Experience in querying and manipulating raw datasets for analysis in big data environment
• Understanding of statistics (hypothesis testing, regressions, etc.)
• Experience working independently
• Communicator skills explaining technical concepts and analysis implications to varied audiences
• Ability to translate business objectives into actionable analysis
• Experience with SQL or related query language
• Strong problem-solving skills

Preferred Qualification

• Proven experience in running end-to-end research POCs from ideas to customer impact solutions including the design, execution, analysis and conclusions of your research, methodologies and outcomes.
• Knowledge in big data systems (Hadoop, Spark, Hive)
• Prior experience working with remote teams in multiple time zones

Education:

Degree in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Math, or relevant qualifications that can be suitable for this position

Exceptional candidates who do not meet these Degree criteria will be considered for this role provided they have the necessary skills and work experience