Data Scientist III (IT) 4P/523

4P Consulting Inc.

Birmingham, AL

On Site

Contract

Competitive pay

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About this role Data Scientist III (IT) Experience

Data Scientist III (IT) Experience Level: 5–10 Years Contract- 1 Year Client- Alabama Power

Responsibilities Apply the scientific method to Perform data wrangling, cleansing, and Conduct exploratory data analysis (EDA)

Apply a variety of machine learning algorithms (e.g., regression, classification, clustering, ensemble methods)
Perform data wrangling, cleansing, and preprocessing on structured and unstructured datasets
Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies
Build, evaluate, and deploy statistical and machine learning models

Collaborate with cross-functional teams including IT, data engineering, analytics, and business stakeholders
Apply the scientific method to frame problems, test hypotheses, and validate results
Create data visualizations and dashboards to communicate insights effectively
Work with large-scale datasets and big data processing frameworks

Required Skills & Experience Experience with big data processing Familiarity with cloud-based data or Experience deploying or operationalizing machine

Experience with big data processing frameworks (e.g., Spark, Hadoop, or similar)
Familiarity with cloud-based data or analytics platforms
Experience deploying or operationalizing machine learning models
Knowledge of data visualization tools (e.g., Tableau, Power BI, or equivalent)
Experience working in an enterprise or IT-driven environment

Benefits Benefits details are shared by the employer during the hiring process.

Environment The ideal candidate has hands-on • Apply the scientific method Perform data wrangling, cleansing, and

The ideal candidate has hands-on experience with data wrangling, exploratory data analysis, statistical modeling, machine learning algorithms, and data visualization, and can work effectively with large and complex datasets in an enterprise IT

• Apply the scientific method to frame problems, test hypotheses, and validate results •

Perform data wrangling, cleansing, and preprocessing on structured and unstructured datasets • Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies • Build, evaluate, and deploy statistical and machine learning models • Apply a variety of machine learning algorithms (e.g., regression, classification, clustering, ensemble methods) • Work with large-scale datasets and big data processing frameworks • Create data visualizations and dashboards to communicate insights effectively • Collaborate with cross-functional teams including IT, data engineering, analytics, and business stakeholders • Translate complex analytical findings into clear, actionable recommendations • Document methodologies, models, assumptions, and results Required

• 5–10 years of experience in data science, analytics, or a related role •

Strong proficiency in statistics and probability • Proficiency in at least one programming language: • Python or • R • Hands-on experience with data wrangling, analysis, and exploration •

Familiarity with a wide range of machine learning algorithms • Experience creating data visualizations using industry-standard tools or libraries •

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