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  • ID
    #17396871
  • Job type
    Contract
  • Salary
    BASED ON EXPERIENCE
  • Source
    The Ascent Services Group
  • Date
    2021-07-27
  • Deadline
    2021-09-25

Data scientist

California, Oakland, 94612 Oakland USA
 
Contract

Vacancy expired!

Looking for local candidates Top Daily Responsibilities: 1. Support Data-Science and other analytics as needed.2. Develop SQL queries and data sets 3. Develop business and client facing reports Skills a Top CandidateShould Have: 1. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.2. Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.3. Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.4. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.5. Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.6. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.7. Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.Desired Skills: 8. Strong problem solving skills with an emphasis on product development.9. Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.10. Experience working with and creating data architectures.11. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.12. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.13. Excellent written and verbal communication skills for coordinating across teams.14. A drive to learn and master new technologies and techniques.15. We re looking for someone with experience manipulating data sets and building statistical models, has a Master s or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with software.Soft Skills:1. Excellent Communication Skills.2. Ability to work with business to gather report requirements3. Team player. Custom Job Description: If you have a custom job description that you would like to use. Please paste it here: Knowledge and experience with large data sets, event streams and distributed computing (Hive,Impala,Hadoop etc.) Ability to gather requirements and develop reports in tool selected by business and KPIT.Additional Details:An ideal candidate should have excellent communication skills, solid programming and problem-solving skills, and a solid grasp of statistics and/or Machine Learning.Responsibilities and Duties:- Understand business problems and suggest data and analytic solutions to support decision makers.- Help develop and transform data sets using variety of programming languages.- Develop and test analytic hypotheses using established methods.- Create data visualizations that convey a clear story about what is observed in the data.- Design, develop, and validate predictive and explanatory models using a wide variety of models.- Communicate results to variety of audiences.Qualifications:- Bachelors degree with evidence of quantitative aptitude.- 2-4 years doing analysis, model building, causal inference.- 2-4 years experience programming in R, Python, or another programming language.- 2-4 years experience writing SQL queries to various databases.Preferred Experience- 2-4 years work experience is preferred.- Masters degree or Ph.D. in computer science, statistics, data science, mathematics, engineering or other quantitative field in preferred- Analytic or operational experience and / or education in Pharmacy, Nursing, Public Health, or other relevant medicine topics is appreciated

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