SGI Global, LLC
Data Scientist (Senior)
SGI Global, LLC, Washington, District of Columbia, us, 20022
SGI Global is seeking a Senior Data Scientist. The Data Scientist shall have experience serving as a data scientist on a complex technology implementation or data analytics projects.
Responsibilities:
Conducts and facilitates (and educates and trains on) analyses, issues identification, risk assessment, and decision-making processes.
Expected to design, develop, and implement best available models and solutions to agency challenges and requirements.
Prepares data, implements data models, and develops data management tools including databases to support end-to-end solutions.
Requirements:
Experience serving as a data scientist on a complex technology implementation or data analytics projects.
Ability to lead larger teams and mentor other scientists.
Strong expertise in applying pattern-recognition techniques to large structured, semi-structured, and unstructured data sets to automate and optimize data wrangling (extract, transform, clean, evaluate, normalize/standardize, and organize) from disparate sources. Technical expertise with data models, data mining, data cleansing, and segmentation techniques.
Experience developing databases with Structure Query Language (SQL) to develop complex queries involving joins, subqueries, aggregation, indices, common table expressions, and query optimization/plans. Development experience, with a focus on data manipulation and/or statistics, using one or more of these languages or applications: Python, R, SAS, Tableau, AWS.
Proficient experience in both small and big data environments with an understanding of the tradeoffs in scaling algorithms between differing environments.
Working knowledge of federal grant-making policies, procedures, and administration.
Must be detail-oriented and think logically.
Possesses excellent problem solving and analytical skills and excellent written, verbal, and listening communication skills.
Possesses the ability to keep up with new business and technical concepts.
Able to work with minimal supervision.
Possesses strong team leadership and risk management ability.
Qualifications:
Seven (7) years of professional experience planning, conducting, and participating in the facets of performance requirement.
Master's degree in Computer Science, Information Technology, or a related discipline.
Substitution Criteria:
10 years of relevant experience with planning, conducting, and participating in the experiences described above and in the performance requirements.
Bachelor's degree in Computer Science, Information Technology, or a related discipline.
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Responsibilities:
Conducts and facilitates (and educates and trains on) analyses, issues identification, risk assessment, and decision-making processes.
Expected to design, develop, and implement best available models and solutions to agency challenges and requirements.
Prepares data, implements data models, and develops data management tools including databases to support end-to-end solutions.
Requirements:
Experience serving as a data scientist on a complex technology implementation or data analytics projects.
Ability to lead larger teams and mentor other scientists.
Strong expertise in applying pattern-recognition techniques to large structured, semi-structured, and unstructured data sets to automate and optimize data wrangling (extract, transform, clean, evaluate, normalize/standardize, and organize) from disparate sources. Technical expertise with data models, data mining, data cleansing, and segmentation techniques.
Experience developing databases with Structure Query Language (SQL) to develop complex queries involving joins, subqueries, aggregation, indices, common table expressions, and query optimization/plans. Development experience, with a focus on data manipulation and/or statistics, using one or more of these languages or applications: Python, R, SAS, Tableau, AWS.
Proficient experience in both small and big data environments with an understanding of the tradeoffs in scaling algorithms between differing environments.
Working knowledge of federal grant-making policies, procedures, and administration.
Must be detail-oriented and think logically.
Possesses excellent problem solving and analytical skills and excellent written, verbal, and listening communication skills.
Possesses the ability to keep up with new business and technical concepts.
Able to work with minimal supervision.
Possesses strong team leadership and risk management ability.
Qualifications:
Seven (7) years of professional experience planning, conducting, and participating in the facets of performance requirement.
Master's degree in Computer Science, Information Technology, or a related discipline.
Substitution Criteria:
10 years of relevant experience with planning, conducting, and participating in the experiences described above and in the performance requirements.
Bachelor's degree in Computer Science, Information Technology, or a related discipline.
#J-18808-Ljbffr