Principal Data Scientist Architect

4 weeks ago

Kettleman City, United States Diverse Lynx Full time
Role- Principal Data Scientist Architect
Location- Los Angeles, CA & Seattle, WA
Duration- Full Time

Requirements
  • Required to have Bachelors/Masters/Ph.D. in Statistics/Machine Learning/Data Science/Analytics /Computer Science or Engineering from premier institutes.
  • Preferred to have PhD in Data Science/Analytics/Computer Science.
  • Should have 12-15 years' hands-on experience in algorithms and implementation of analytics solutions in predictive analytics, text analytics and image analytics.
  • Should have 5+ years' of experience in leading a team of data scientists, works closely with client's technical team to plan, develop and execute on client requirements providing technical expertise and project leadership.
  • Exposure to Healthcare / Pharma informatics would be an added advantage

Functional Role and Responsibilities:
  • Leads efforts to foster innovative ideas for developing high impact solutions.
  • Evaluates and leads broad range of forward-looking analytics initiatives, track emerging data science trends, and knowledge sharing.
  • Engaging key stakeholders to source, mine and validate data and findings and to confirm business logic and assumptions in order to draw conclusions.
  • Helps in design and develop advanced analytic solutions across functional areas as per requirement/opportunities.

Technical Role and Responsibilities
  • Demonstrated strong capability in statistical/Mathematical modelling or Machine Learning or Artificial Intelligence
  • Demonstrated skills in programming for implementation and deployment of algorithms preferably in Statistical/Client based programming languages in Python.
  • Sound Experience with traditional as well as modern statistical techniques, including Regression, Support Vector Machines, Regularization, Boosting, Random Forests, and other Ensemble Methods.
  • Visualization tool experience - preferably with Tableau or Power BI
  • Sound knowledge of ETL practices preferably spark in Data Bricks cloud big data technologies like AWS, Google, Microsoft, or Cloudera.
  • Communicate complex quantitative analysis in a lucid, precise, clear and actionable insight.
  • Developing new practices and methodologies using statistical methods, machine learning and predictive models under mentorship.
  • Carrying out statistical and mathematical modelling, solving complex business problems and delivering innovative solutions using state of the art tools and cutting-edge technologies for big data beyond.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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