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Sr. Data Scientist - Greenwood Village
Ref No.: 16-04354
Location: Greenwood Village, Colorado
Job Title : Sr. Data Scientist
Location : Greenwood Village, CO
Position Type : Direct Hire
Interview Process : Phone + F2F
Pay Rate : DOE $/hr. on W2

US Citizen, Green Card and GC EAD only.
No sponsorship available for this job, direct hire and NO 1099 or C2C

(Please include the expected Salary Range)

Job Description:

About the Job
Our client is seeking an experienced senior data scientist to perform data mining and analysis on massive web, browser, bot, malicious and categorization data to provide direction and input to our Artificial Intelligence/Machine Learning teams in order to improve the real-time automated detection and content categorization services.
What You Need To Get The Job Done

• Master's or Doctorate degree in Computer Science, Statistics, Mathematics or related field
• Self-starter, independent worker, outward facing energetic personality, great
communicator and opinionated, yet a team player
• Someone who has the personality and the ability to figure out how to connect the dots of
very large sets of data and has the solid foundation of how the internet works (web sites,
web servers, DNS, networking, etc)
• 5+ years of work experience, preferably as data scientist or in highly analytical role
working with data mining, data analytics, statistical analysis, and mathematical approaches
to solving business problems
• Loves data and finding relationships or patterns within the data
• Successfully built large-scale data processing and analysis pipelines
• Parallel programming experience or knowledge in one of the following:
o Python, Scala, JavaScript, GoLang, Java
• Expert level ability at producing quality papers and blogs on the data science and analysis
related to data mining
• Experience working with an agile-based system, working with software engineering teams
and within a github-based workflow.
• Deep understanding of computer science: data structures, algorithms and their
complexities, object oriented programming, test based design, functional programming,
distributed systems.
• Proficiency in training and improving machine learning algorithms

What You Will Be Doing

• Provides technical direction and guidance based on data science and analysis of web traffic
and web data. Extract large and complex web datasets while thinking strategically about
uses of data and how data use interacts with data design
• Collaborate with Engineering, the AI/Client team, the Malicious Detection team, Product
Management and Executive Leadership Team to create algorithmic and data-driven
solutions, as well as establishing current and long-term business, technical and product
strategy
• Develop models using statistical analysis and data mining to detect trends, similarities,
patterns and collaboration with engineers to create dashboards and heat maps for
visualization of data
• Success in creating monetization strategies and offerings based on economic analysis of
data assets and data science strategies
• Measuring, experimenting and tuning systems and algorithms as well as implementing
adaptive techniques based on machine learning and data mining
• Determination of weighted reputation and trustworthy scoring systems based on data
mining and analysis
• Proven experience in identify relevant algorithms and processes for data-driven solutions;
and provide design input to engineering to code those identified to produce actionable
results
• Experience creating and proving predictive model prototypes and working with with data
engineers to put them into production.
• Have experience with interacting, administering, or working with : Hadoop, Hive, Spark,
MapReduce, and cluster computing with Amazon Web Services, Open Source Software, and
Linux