Skills

Algorithmsunmatched

Analysis Skillsunmatched

Automationunmatched

Business Intelligenceunmatched

CA Workload Automation AE (AutoSys Edition)unmatched

Computer Programmingunmatched

Computer Scienceunmatched

Data Analysisunmatched

Data Modelingunmatched

Data Qualityunmatched

Data Scienceunmatched

Data Setsunmatched

Data Visualizationunmatched

Information Technology & Information Systemsunmatched

Machine Learningunmatched

MicroStrategyunmatched

Model Validationunmatched

Operations Researchunmatched

Power BIunmatched

Problem Solving Skillsunmatched

Process Improvementunmatched

Prototypingunmatched

Python Programming/Scripting Languageunmatched

R Programming Languageunmatched

Reporting Dashboardsunmatched

Requirements Managementunmatched

Risk Analysisunmatched

SQL (Structured Query Language)unmatched

Statistical Analysis System (SAS)unmatched

Statistical Modelingunmatched

Statistical Programming Languagesunmatched

Statisticsunmatched

Stored Proceduresunmatched

Tableauunmatched

Unix Shell Programmingunmatched

Validation Testingunmatched

Description

Sr. Data Scientist
Stamford, CT
Full Time Only (Onsite / Hybrid)

JOB SUMMARY:

Develop data-driven solutions to provide insights in Business Intelligence (BI) reporting. Utilize analytical, statistical, and programming skills to clean, aggregate and analyze large data sets and interpret results and present data insights and recommendations to key stakeholders to help explore methods to improve their business.
Utilize statistical techniques and machine learning algorithms to determine where to invest time, synthesize actionable findings across diverse assignments, and present findings to audiences with diverse agendas and varying levels of technical expertise.
Provide subject matter expertise for key BI Data Quality functions such as support for data related inquiries, identifying, researching, and analyzing potential risks to document solution requirements.
Participate in the execution of the complete analytics life-cycle for problem-solving, including requirements gathering, problem formulation, data grooming, data exploration, model prototyping, model validation, and algorithm productionalization.
Communicate complex data science solutions, concepts, and analyses in a clear and effective manner to team members and business leaders.
Establish links across existing data sources and find Client and interesting data correlations.
Visualize and report data findings creatively in a variety of visual formats that appropriately provide insight to the stakeholders and explain the importance of patterns in the data.
Ensure testing and validation are components of all analytics solutions.

EDUCATION / REQUIREMENTS:

Bachelor's degree in Computer Science, Statistics, Operations Research, Information Systems, or a related field.
5 years of experience performing data manipulation utilizing Database functions, SQL Stored Procedures, Python, and Shell Scripting.
5 years of experience performing statistical modeling using Correlations Analysis, Hypothesis testing, and using statistical functions such as Mean, Median, Mode, Standard Deviations and Z-scores in SQL or Excel.
5 years of experience programming utilizing SQL.
5 years of experience programming using Python or R.
5 years of dashboarding experience including one of the following or a combination of Tableau, Power BI, or MicroStrategy.
3 years of experience using scheduling tools such as One Automation, Autosys, or Control-M.

Adam Planica
Technology Recruiter
PRI Technology
P: 973.732.5454 x41
www.pritechnology.com

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