Company:
Resource Informatics Group
Location: Boston
Closing Date: 16/11/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Python Developer
Boston, Massachusetts – locals (Onsite)
Contract
(POD Pipeline - BOS, MMK, RTP)
Job Description / TOP SKILLS:
-Python, SQL skills, AWS
-AWS experience (framework knowledge)
-Data Analysis/ Transformation- Building tools for Data Analysis, Data Mining and Data Visualization.
Minimum Master's degree in engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields
5+ years of prior work experience as a data scientist
Proficiency in the entire Predictive Modeling life cycle – From exploratory data analysis to data cleaning to Feature Engineering to Model Building and Validation, Operationalization and Scalability of scientific techniques and establishing decision strategies.
Hands on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, NLP, feature selection/reduction, clustering, parameter tuning, etc.)
Experience in projects involving large scale, multi-dimensional databases, complex business infrastructure, and cross-functional teams. Two to four successfully launched Client projects would be ideal.
Programming skills in Python, SQL
Hands on experience on using AWS framework is a plus
Data Analysis/ Transformation- Building tools for Data Analysis, Data Mining and Data Visualization.
Experience in the financial domain and familiarity with financial models are highly desirable.
Ability to partner closely with a diverse set of business collaborators to identify needs and deliver data solutions.
Experience in communicating analysis in a clear, concise, and actionable manor to both technical and non-technical partners
Experience with Tableau, Power BI or other data visualization tools are desirable.
Boston, Massachusetts – locals (Onsite)
Contract
(POD Pipeline - BOS, MMK, RTP)
Job Description / TOP SKILLS:
-Python, SQL skills, AWS
-AWS experience (framework knowledge)
-Data Analysis/ Transformation- Building tools for Data Analysis, Data Mining and Data Visualization.
Minimum Master's degree in engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields
5+ years of prior work experience as a data scientist
Proficiency in the entire Predictive Modeling life cycle – From exploratory data analysis to data cleaning to Feature Engineering to Model Building and Validation, Operationalization and Scalability of scientific techniques and establishing decision strategies.
Hands on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees/random forest, neural networks, NLP, feature selection/reduction, clustering, parameter tuning, etc.)
Experience in projects involving large scale, multi-dimensional databases, complex business infrastructure, and cross-functional teams. Two to four successfully launched Client projects would be ideal.
Programming skills in Python, SQL
Hands on experience on using AWS framework is a plus
Data Analysis/ Transformation- Building tools for Data Analysis, Data Mining and Data Visualization.
Experience in the financial domain and familiarity with financial models are highly desirable.
Ability to partner closely with a diverse set of business collaborators to identify needs and deliver data solutions.
Experience in communicating analysis in a clear, concise, and actionable manor to both technical and non-technical partners
Experience with Tableau, Power BI or other data visualization tools are desirable.
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