JOB SUMMARY

MAJOR DUTIES AND RESPONSIBILITIES
Actively and consistently support all efforts to simplify and enhance the customer experience

Collaborate with stakeholders to understand product / feature plans for development and translate those plans into experimentation objectives and testable hypotheses
Assist product teams with experimental design and analyses, including development of analysis plans and ad hoc reports
Develop experimentation strategy and project plans for stakeholders and lead execution of plans involving members across multiple teams
Synthesize data from experimentation and other data sources to provide stakeholders with answers to research questions and help determine next steps for a product / feature using a data driven approach
Create and present materials communicating quantitative findings and relevant business impacts to internal and external teams as well as an executive audience
Refine experimentation processes including leverage of existing data science tools and development of new tools where applicable
Leverage multiple data sources to produce intelligent data products that solve the needs of business and engineering for business intelligence, operational analytics, descriptive models, predictive models, diagnostic models, and prescriptive models.
Coordinate technical activities across projects and the organization
Interact with various stakeholders to understand their business needs, communicate project status and develop relationships to ensure satisfaction
Develop and deliver materials on experimentation techniques and tools to a broad set of business-intelligence, data, and analytics professionals with varied backgrounds
Deliver results using metrics-driven analysis, and communicating the costs and tradeoffs of ideas to stakeholders and top management

REQUIRED QUALIFICATIONS
Skills/Abilities and Knowledge

Ability to read, write, speak and understand English
Able to communicate complex technical, statistical and quantitative concepts to individuals with a variety of backgrounds, explain the importance and relevance of data, and suggest solutions
Works with minimal guidance to set project plans and timelines and prioritize among multiple competing interests
Working knowledge of current industry best practices for online experimentation
Command of advanced statistical concepts including experimental design, hypothesis testing, common and more advance analytic methods
Fluency with regression modeling and the ability to develop and evaluate a model using simple and complex regression, working knowledge of correlated data analysis and ability to identify when more sophisticated ML modeling may be warranted over common approaches
Ability to design and implement ETL projects from scratch
Knowledge of tools to develop, test, and deploy production code, modify CICD pipelines and deployment scripts
Experience with Hadoop, HIVE, SPARK, and/or Snowflake
Knowledge of other relevant tools such as SAS, SPSS, Alteryx, Linux
Knowledge of other relevant techniques such as text analysis and text mining
Familiarity with the open-source ecosystems surrounding R (CRAN), Python (PyPi), and/or Hadoop
Broad experience and solid theoretical foundation on the modeling process using a variety of algorithms
Data profiling, distributions, confidence intervals, hypothesis testing
Data pre-processing, exploratory data analysis using a variety of techniques
Knowledge of classification using techniques such as linear models, GLMs, and tree-based methods
Interpretation of model results, consideration of causality, treatment of multicollinearity
Strong synthesis and presentation skills
Ability to communicate results and recommendations to a wide variety of audiences including executive leadership
Understanding of data architecture, data warehouse and data marts
Demonstrated ability and desire to continually expand skill set, and learn from and teach others
Experience with other database and data store technologies, such as NoSQL, key-value, columnar, graph, and document.
Experience in receiving, converting, and cleansing big data
Program, product, or project management experience delivering analytics results
Strong background in Linux/Unix/CentOS and Windows installation and administration
Ability to identify and resolve end-to-end performance, network, server, cloud, and platform issues
Pattern recognition and predictive modeling skills
Keen attention to detail with the ability to effectively prioritize and execute multiple tasks

Education
Bachelor's Degree in a statistics, data science, applied math or related field.

Related Work Experience
3 plus years user and system admin ownership with Linux/Unix/CentOS and Windows
5 plus years Statistical Analysis
5 plus years Business Analysis
5 plus years SQL/R/SAS Programming
2 plus years Database Design or Database Modeling

PREFERRED QUALIFICATIONS
Skills/Abilities and Knowledge
Operations-research background, in particular focused on large labor operations such as field ops, technical support, and sales

Education
Master's degree in a statistics, data science, applied math or related field.

Required Skills : - Strong statistical foundation o Know what power calculation is o Know what a P value is o Know what a T test is - Knowledge and strong understanding of: o Experimentation design o Statistic research o Hypothesis testing o A/B testing - Python or R experience - Must be local to Denver, CO or be willing to re-locate to Denver, CO
Basic Qualification : - Strong statistical foundation o Know what power calculation is o Know what a P value is o Know what a T test is - Knowledge and strong understanding of: o Experimentation design o Statistic research o Hypothesis testing o A/B testing - Python or R experience - Must be local to Denver, CO or be willing to re-locate to Denver, CO
Additional Skills : - Strong statistical foundation o Know what power calculation is o Know what a P value is o Know what a T test is - Knowledge and strong understanding of: o Experimentation design o Statistic research o Hypothesis testing o A/B testing - Python or R experience - Must be local to Denver, CO or be willing to re-locate to Denver, CO
Background Check :Yes
Notes :
Selling points for candidate :
Project Verification Info :
Exclusive to Apex :No
Face to face interview required :No
Candidate must be local :Yes
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
Type of project :Assessment/Analysis
Master Job Title :Data Scientist
Branch Code :Denver