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About TSR:

TSR is a relationship-based, customer-focused IT and technical services staffing company.

For over 40 years TSR, Inc. and its wholly owned subsidiary, TSR Consulting Services, have prospered in the Information Technology staffing business, earning the respect of companies both large and small with well refined candidate screening, timely placement, and a real understanding of the right skill sets required by our clients.

Mission & Vision

We do not believe in building a vision around the company but building a company around our vision, which is simply;

Every employee’s voice matters, their effort is appreciated, and their talent is rewarded.

We challenge each employee daily, to raise the bar on how we treat our consultants and candidates. For far too long in this industry, candidates have been ghosted, lied to, or placed at a client and then forgotten about. Each day our staff works tirelessly at qualifying and placing, top talent with our clients, in a compassionate and caring manner.

Not every candidate is a match for the job, but every candidate and consultant will be treated with respect and professionalism.

Data Analyst Senior

Job Description

  • Location: New York, New York
  • Type: Contract
  • Job #81086

Our client, a leading utility company, is hiring a Data Analyst Senior on a contract basis

Job ID #:  81086

Work Location:  New York, NY/Hybrid

Summary:
Must Have

  • A Bachelor’s Degree in Computer Science or related field with at least 3-5 years’ work experience in an enterprise IT environment.

  • Advanced SQL

  • full-stack Python

  • Knowledge of statistical modeling and machine learning concepts

  • Machine Learning Operations

  • Power BI Dashboards

  • python Pyspark programming

Nice To Have

 

JOB DESCRIPTION

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.
 

Required Skills/Experience (Skills that the successful candidate(s) must have)

  • 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.

  • 7 or more years of experience in data science and machine learning engineering. 

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.

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.

Pay Range:  $60-70

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