Lead Data Scientist - Python / SQL / ML / NLP
Kforce Inc.

Centennial, Colorado

This job has expired.


RESPONSIBILITIES:

Kforce has a client in Centennial, CO that is seeking a Lead Data Scientist that is responsible for leading the development of data-driven solutions to business problems. In this role, the Lead Data Scientist utilizes analytical, statistical, and programming skills to clean, aggregate, and analyze large data sets and interpret results. This requires a strong command of statistical techniques and machine learning algorithms, as well as a demonstrated practical ability to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise.Responsibilities:
  • Actively and consistently support all efforts to simplify and enhance the customer experience
  • Plan and lead the complete analytics life-cycle for problem solving, including: requirements gathering, problem formulation, data grooming, data exploration, model prototyping, model validation, and algorithm productionalization
  • Leverage knowledge in analytical and statistical algorithms to help stakeholders explore methods to improve their business
  • Lead large-scale exploratory data analyses for new data sources or new uses for existing data sources; Establish links across existing data sources and find new, interesting data correlations
  • Responsible for interpretation of results - for both causal inferences and predictive effectiveness
  • Present findings, suggested actions and changes to a broad audience, and manage follow-ups and execution
  • Help teach and explain techniques and tools used to a broad set of business-intelligence, data, and analytics professionals with varied backgrounds
  • Create project plans to help team achieve defined project goals within deadlines; Proactively communicate status and escalate issues as needed
  • Mentor and train junior team members as well as assist leadership in setting strategic vision


REQUIREMENTS:

  • 7 years of experience data manipulation and statistical modeling as a Scientist, Consultant, Architect, DBA, or Engineer
  • 7 years of experience SQL/R/SAS Programming
  • Demonstrated mastery skills and experience with analysis language such as R and/or Python (including relevant packages) in support of advanced analytics
  • Demonstrated mastery skills with one or more scripting, analysis, or ETL languages and ability to rapidly learn new languages or techniques
  • Familiarity with modern machine learning technology and tools in order to produce model scoring code
  • Demonstrated experience and solid theoretical foundation of the properties of the major families of machine learning models (regression, decision trees, clustering, SVMs, neural networks)
  • Command of advanced mathematical concepts including calculus, PDEs, probability, and statistics, and the ability to independently learn any necessary additional concepts
  • Effective synthesis and presentation skills
  • Ability to communicate results and recommendations to a wide variety of audiences
  • Basic understanding of data architecture, data warehouse and data marts
  • Demonstrated ability and desire to continually expand skill set, and learn from and teach others
  • Extensive experience with large data sets and the tools to obtain, transform, and store data on Big Data and streaming services
Preferred:
  • Experience in the telecommunications industry, or two other consumer-based industries
  • Experience with modeling for sales and marketing teams
  • Experience with Teradata: SQL, UDFs, interpreting explain plans, basic performance-tuning, and use of database catalog
  • Experience with Hadoop, particularly HIVE and Spark
  • 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


The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.




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