IT Data Science Analyst - Atlanta, GA
Oldcastle

Job ID: 503847

Oldcastle APG, a CRH Company, is the leading provider of outdoor living solutions in North America with an award-winning portfolio that enables customers to Live Well Outside. Inspiring endless possibilities with enduring performance, its collection of premier building products create inviting outdoor spaces where people connect, reflect and recharge. The manufacturer's signature brands include Belgard® and Echelon® hardscape and masonry materials; Barrette Outdoor Living® and MoistureShield® fencing, decking and railing; Sakrete® and Amerimix® packaged concrete and mortar; Techniseal® sands, jointing technologies and surface protectors; PebbleTec® pool finishes; plus popular brands of landscape and gardening materials.

Job Summary

The Data Science Analyst will be responsible for performing the duties listed below.

Job Responsibilities

• Gather, clean, and integrate large data sets from various sources (databases, APIs, IIoT etc.)
• Identify and address data quality issues and ensure data integrity
• Conduct exploratory data analysis to uncover patterns, trends, and insights
• Utilize statistical methods to analyze data and interpret results that support business decisions
• Develop and implement predictive models using machine learning algorithms (e.g., regression, classification, clustering)
• Optimize and fine-tune models for accuracy and efficiency
• Create dashboards and reports to communicate insights clearly to stakeholders
• Use data visualization tools (like Tableau, Power BI, or Python libraries) to present findings and make complex data understandable
• Work closely with data engineers, business analysts, and Data Scientists to align data initiatives with business needs
• Stay updated with the latest data science and machine learning techniques
• Suggest and implement process improvements to enhance data collection, analysis, and reporting

Job Requirements

• Proficiency in programming languages such as Python or R
• Experience with SQL for database querying
• Familiarity with data visualization tools (e.g., Tableau, Power BI)
• Understanding of statistical analysis, data mining, and machine learning
• Strong problem-solving abilities and attention to detail
• Ability to interpret complex data and provide actionable insights
• Excellent communication skills to present findings to non-technical audiences
• Collaborative mindset and the ability to work in cross-functional teams
• Bachelor's degree in a related field (e.g., Data Science, Statistics, Mathematics, Computer Science, or Economics)
• Advanced degrees or certifications in data science, machine learning, or business analytics are a plus
• 1-3 years of experience in data analysis or a similar field

What CRH Offers You

• Highly competitive base pay
• Comprehensive medical, dental and disability benefits programs
• Group retirement savings program
• Health and wellness programs
• A diverse and inclusive culture that values opportunity for growth, development, and internal promotion

About CRH

CRH has a long and proud heritage. We are a collection of hundreds of family businesses, regional companies and large enterprises that together form the CRH family. CRH operates in a decentralized, diversified structure that allows you to work in a small company environment while having the career opportunities of a large international organization.

If you're up for a rewarding challenge, we invite you to take the first step and apply today! Once you click apply now, you will be brought to our official employment application. Please complete your online profile and it will be sent to the hiring manager. Our system allows you to view and track your status 24 hours a day. Thank you for your interest!

Oldcastle APG, a CRH Company, is an Affirmative Action and Equal Opportunity Employer.

EOE/Vet/Disability--If you want to know more, please click on this link.

Date: Nov 14, 2024

Nearest Major Market: Atlanta
Job Segment: Computer Science, Data Analyst, Statistics, Database, Data Mining, Technology, Data

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