Data Scientist

Gilbane Building Company; Cleveland (OH); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health benefits

401k plan

Profit sharing

Job summary

Gilbane Building Company is seeking a Data Scientist to join the centralized Data Science Team in Cleveland. You will translate business questions into analytics using statistics, machine learning, and data visualization to drive executive decisions.

The role requires a Masters in a quantitative field and 5+ years of data processing experience, plus 3+ years building models and communicating results to leaders. On-site role with strong collaboration across teams.

Qualifications

• Masters degree in Statistics or related field.
• 5+ years practical experience with data processing, programming and analytics.
• 3+ years practical experience building statistical or machine learning models and communicating results to business leaders.
• Or equivalent combination of education and experience.

Responsibilities

• Answer business questions end-to-end by translating questions into analyses with advanced techniques.
• Understand statistics, models, and ML; select approaches for analytics problems.
• Interact with non-technical stakeholders to deliver analyses and findings.
• Execute data science strategy using inferential or predictive models.
• Coordinate with Business partners in a consultant capacity for needs analysis and support.
• Collaborate with technology partners on data mining and collection using SQL, R, Python, Excel, and other tools.
• Prepare and deliver analyses and visualizations meeting customer needs.
• Learn and apply new data science techniques for expanding scope.
• Experience in analytics consulting and presenting to Executives/C-Suite is desirable.

Skills

Business acumen

Data mining

Statistical analysis

SAS

R

Python

SPSS

Data visualization

Pattern recognition

Predictive modeling

Education

Masters degree in Statistics / Applied Math

Tools

SAS

R

Python

SPSS

Job description

Job Locations

US-RI-Providence | US-OH-Cleveland | US-OH-Columbus | US-IN-Indianapolis | US-FL-Jacksonville | US-WI-Milwaukee | US-FL-Orlando | US-PA-Pittsburgh | US-VA-Richmond | US-FL-Sarasota | US-FL-Tampa | ...

Overview

Data Scientist is part of the centralized Data Science Team for Gilbane, which is responsible for data analysis, AI and ML use case development.

Responsibilities

• Answer business questions fully "end to end" by translating business questions into ones answered with advanced analytic techniques (statistics, machine learning etc.); create and present documentation of findings back to business leaders with minimal supervision from Analytics Team.
• Deep understanding of statistics, scientific research methodology, predictive models, and machine learning. Able to select and implement appropriate approach to various analytics problems.
• Regularly interact with non technical stakeholders to deliver analyses and answer questions on deliverables.
• Execute on various aspects of the data science strategy using inferential or predictive models.
• Cooridinate with Business partners in a consultant capacity, undertaking needs analysis, data collection, prioritization, training and support.
• Coordinate with technology partners on data mining and collection utilizing SQL, R, Python, Excel, Microstrategy, and other tools for analysis and presentation. Data cleaning, joining, restructuring, model development, process automation etc.
• Preparation and delivery of analysis and data visualizations that meet the needs of the customers as defined in the needs analysis.
• Desire to learn and apply new data science techniques in the service of solving business problems regularly increasing in scope and complexity.
• Experience with analytics consulting, delivering analytics to Executives / C‑Suite stakeholders, data pipeline developement, process automation, model deployment etc. desired.

Qualifications

EXPERIENCE/EDUCATION

• Masters Degree in Statistics, Applied Math, Industrial or Research Psychology, Biostatistics, Computer Science/Information Systems or related field
• 5 + years practical experenience with data processing, programming and analytics
• 3+ years practical experience building statistical or machine learning models and communicating results to business leaders.
• Or equivalent combination of education and experience

KNOWLEDGE, SKILLS & ABILITIES

• Business acumen and business problem solving skills
• Extensive background in data mining and statistical analysis
• Extensive experience with statistical software such as SAS, R, Python, SPSS, or other programs
• Strategic thinking skills - seeing the big picture, clarifying strategic objectives, identifying relations, patterns and trends, thinking creatively, analyzing information, and prioritizing actions
• Ability to understand various data structures and produce data visualizations
• Excellent pattern recognition and predictive modeling skils

Visa Sponsorship: This position is not eligible for employment visa sponsorship. Applicants must be authorized to work in the United States without current or future sponsorship.

Salary to be determined based on factors such as geographic location, skills, education, and/or experience of the applicant, as well as the internal equity and alignment with the team.

The pay ranges from $120,000.00-$160,000.00 plus benefits and retirement program.

Gilbane offers an excellent total compensation package which includes competitive health and welfare benefits and a generous profit-sharing/401k plan. We invest in our employees' education and have built Gilbane University into a top training organization in the construction industry. Qualified applicants who are offered a position must pass a pre-employment substance abuse test.

Gilbane is an Affirmit ive Action/Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, color, national origin, race, religion, sex, sexual orientation, gender identity, protected veteran status, or disability status. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential job functions.

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