What are the responsibilities and job description for the Senior Data Analyst position at Seneca Resources, LLC?
Job Details
JOB ROLE : Sr. Data Analyst Location : NYC, NY(Preferred Locals) Hire Type : Contract W2 2nd round In person Interview required
A leading utility provider located in New York, NY is looking for a Senior Data Analyst with Machine Learning experience to join their team for a contract role on a hybrid basis.
Job Summary:
Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems. Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine. Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
Responsibilities
Collaborate with business stakeholders to understand their requirements and translate them into technical specifications.
Communicate insights and findings to business stakeholders.
Build, deploy, and maintain data management systems and back-end data infrastructure for our machine learning pipeline.
Build dashboards and analyze the root cause of dashboard malfunctions.
Perform data mining, exploration, and analysis.
Create data visualizations, reports, dashboards, and data audits.
Design, train, and implement machine learning algorithms.
Leverage predictive models to optimize customer experiences.
Required Skills/Experience (Skills that the successful candidate(s) must have)
7 or more years of experience in data science and machine learning engineering.
Bachelor's degree in data science, data analytics, or a related field.
Proficiency in programming languages: SQL, Python and PySpark.
Minimum 3 years of experience with data visualization tools such as Power BI, Dax Queries, and best practices.
Experience with GenAI and large language models.
Must know how to analyze the root cause of dashboard errors.
Have experience in ML Ops and have strong coding background.
Have experience with Natural Language Processing (NLP).
Expertise in data mining and machine learning.
Knowledge or experience with A/B Testing.
Working knowledge of designing, training, and implementing machine learning models.
Familiarity with cloud-based infrastructure.
Additional Skills (Skills that are a plus, but not required)
Master s degree or Ph.D. in a quantitative field, such as statistics, computer science, mathematics, or engineering.
Azure Databrick Data Engineer Certification is a plus.
Experience with big data analytics technologies such as Spark and Hadoop.
A leading utility provider located in New York, NY is looking for a Senior Data Analyst with Machine Learning experience to join their team for a contract role on a hybrid basis.
Job Summary:
Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems. Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine. Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
Responsibilities
Collaborate with business stakeholders to understand their requirements and translate them into technical specifications.
Communicate insights and findings to business stakeholders.
Build, deploy, and maintain data management systems and back-end data infrastructure for our machine learning pipeline.
Build dashboards and analyze the root cause of dashboard malfunctions.
Perform data mining, exploration, and analysis.
Create data visualizations, reports, dashboards, and data audits.
Design, train, and implement machine learning algorithms.
Leverage predictive models to optimize customer experiences.
Required Skills/Experience (Skills that the successful candidate(s) must have)
7 or more years of experience in data science and machine learning engineering.
Bachelor's degree in data science, data analytics, or a related field.
Proficiency in programming languages: SQL, Python and PySpark.
Minimum 3 years of experience with data visualization tools such as Power BI, Dax Queries, and best practices.
Experience with GenAI and large language models.
Must know how to analyze the root cause of dashboard errors.
Have experience in ML Ops and have strong coding background.
Have experience with Natural Language Processing (NLP).
Expertise in data mining and machine learning.
Knowledge or experience with A/B Testing.
Working knowledge of designing, training, and implementing machine learning models.
Familiarity with cloud-based infrastructure.
Additional Skills (Skills that are a plus, but not required)
Master s degree or Ph.D. in a quantitative field, such as statistics, computer science, mathematics, or engineering.
Azure Databrick Data Engineer Certification is a plus.
Experience with big data analytics technologies such as Spark and Hadoop.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
