Senior Analyst, Data Science in Omaha, NE

$80K - $100K(Ladders Estimates)

TD AMERITRADE Holding Corporation   •  

Omaha, NE 68101

Industry: Finance & Insurance


Less than 5 years

Posted 61 days ago

This job is no longer available.


  • Work with business to proactively identify opportunities for advanced analytics utilization
  • Identify business questions or hypotheses to be analyzed
  • Identify best statistical or modeling method to utilize
  • Review prediction and optimization factors
  • Collaborate with business and IT partners to support the big data and cloud computing strategy
  • Test and troubleshoot internal advanced analytics tools
  • Work closely with external vendors on support and maintenance of statistical and data modeling tools
  • Test and review custom datasets
  • Support production releases of big data and statistical tools
  • Review, test and document changes to processes, tools and architecture
  • Collaborate with analysts and data scientists to use expanded data sets and query techniques
  • Identify test groups and data sources
  • Identify control group to minimize bias
  • Independently conduct ad-hoc data mining activities
  • Present findings of small to medium-scale advanced analytics analyses to non-technical stakeholders
  • Work with business to identify and recommend additional test factors and re-test as needed
  • Participate in continuing education to enhance the level of advanced analytics knowledge and skills
  • Participate in research, consortiums, seminars, and events to obtain advanced analytics expertise


  • 4 Year College Degree or Equivalent Experience
  • Graduate Degree Preferred in Computer Science, Information Systems, Data Science, Engineering, Mathematics, Business
  • 3-5 related experience required
  • Experience with data science techniques such as profiling, a/b testing, ensemble learning, unsupervised learning, deep learning, feature reduction, time-series forecasting, Bayesian Statistics, etc.
  • Experience in data profiling, data mining, data cleaning, feature engineering and predictive analytics
  • Understanding of enterprise data warehouses and related data platforms
  • Hands-on experience with data tools and programming languages including SQL & Python
  • Must be proficient in developing and tuning Python & Postgres SQL
  • Experience with data visualization
  • Hands-on experience with big data & cloud computing
  • Experience of data models to support advanced/predictive analytics
  • Must be business-centric, data-oriented, analytically minded and results driven
  • Demonstrated critical thinking skills to scope and frame problems
  • Displays excellent judgment to propose effective, business driven solutions
  • Excellent interpersonal and relationship building skills to effectively educate and coach teammates and business partners
  • Military education or experience may be considered in lieu of civilian requirements listed
  • CDMP (Certified Data Management Professional) preferred
  • CBIP (Certified Business Intelligence Professional) preferred
  • CAP (Certified Analytics Professional) preferred
  • DGSP (Data Governance and Stewardship Professional) preferred.

Valid Through: 2019-9-16