Seeking a Data Scientist to support an Intelligence Client.

Assemble large, complex sets of data to meet functional and other requirements
Build models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings
Construct and perform complex database search queries in multiple databases using SQL and API interfaces
Curate and maintain data stores in support of metrics and evaluation
Design, build, test, maintain, and automate data collection/pipelines to optimize data delivery, and automate manual processes
Communicate and/or present product insights to technical and non-technical individuals

Bachelor's Degree in Data Science, Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Quantitative Finance, Econometrics, Economics, Mathematics, Analysis, Operations Research or other related programs, with 3+ years of experience (or 3 additional years of experience in lieu of degree)
Proficiency with open-source programming languages (e.g. Python, R, SQL) and machine learning toolkits (e.g. pytorch, numpy, polars, scikit-learn, tensorflow, pandas)
Proficiency using mathematical, statistical, or other data-driven analysis
Proficiency with APIs; both development/update of internal APIs and use of external APIs
Experience with data manipulation, analysis, analytic/business insight tools, and data visualization
Experience in applying qualitative and quantitative data analysis methods to analytics problems
Critical thinking and problem-solving skills for datasets which are unstructured
Ability to, or demonstrated experience, obtain structured and unstructured data from multiple sources, synthesizing it, and then presenting the results effectively and concisely in written and graphic form to internal and external stakeholders.
Ability to, or demonstrated experience, interacting with customers to coordinate requirements and resolve data questions
Proficiency working independently or as a member of a team to research, organize, and analyze information
Must have strong interpersonal and communication skills

Experience with transforming, manipulating, and combining data using a programming language, such as Python
Experience with using git, or similar version control systems
Experience with extract, transform and load (ETL) development for data ingest pipelines
Experience with relational databases, MySQL, NiFi, Kafka, Elastic MapReduce (EMR) Hbase, Elastic, Splunk, Spring
Experience with CI/CD pipelines
Ability to, or demonstrated experience, researching and evaluating the latest emerging technologies and applying them

Seeking a Data Scientist to support an Intelligence Client.

Assemble large, complex sets of data to meet functional and other requirements
Build models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings
Construct and perform complex database search queries in multiple databases using SQL and API interfaces
Curate and maintain data stores in support of metrics and evaluation
Design, build, test, maintain, and automate data collection/pipelines to optimize data delivery, and automate manual processes
Communicate and/or present product insights to technical and non-technical individuals

Bachelor's Degree in Data Science, Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Quantitative Finance, Econometrics, Economics, Mathematics, Analysis, Operations Research or other related programs, with 3+ years of experience (or 3 additional years of experience in lieu of degree)
Proficiency with open-source programming languages (e.g. Python, R, SQL) and machine learning toolkits (e.g. pytorch, numpy, polars, scikit-learn, tensorflow, pandas)
Proficiency using mathematical, statistical, or other data-driven analysis
Proficiency with APIs; both development/update of internal APIs and use of external APIs
Experience with data manipulation, analysis, analytic/business insight tools, and data visualization
Experience in applying qualitative and quantitative data analysis methods to analytics problems
Critical thinking and problem-solving skills for datasets which are unstructured
Ability to, or demonstrated experience, obtain structured and unstructured data from multiple sources, synthesizing it, and then presenting the results effectively and concisely in written and graphic form to internal and external stakeholders.
Ability to, or demonstrated experience, interacting with customers to coordinate requirements and resolve data questions
Proficiency working independently or as a member of a team to research, organize, and analyze information
Must have strong interpersonal and communication skills

Experience with transforming, manipulating, and combining data using a programming language, such as Python
Experience with using git, or similar version control systems
Experience with extract, transform and load (ETL) development for data ingest pipelines
Experience with relational databases, MySQL, NiFi, Kafka, Elastic MapReduce (EMR) Hbase, Elastic, Splunk, Spring
Experience with CI/CD pipelines
Ability to, or demonstrated experience, researching and evaluating the latest emerging technologies and applying them

Data Scientist

Skills