Data Scientist - Predictive Analytics & Visualizations

GetJobSmart; Phoenix (AZ); On-site; USD 120,000 - 166,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Professional development opportunities

Job summary

Cedar East in Phoenix, AZ, seeks a Data Scientist for a full-time role to turn data into strategic insights. You will analyze datasets, build predictive models, and create dashboards, collaborating with engineers and business analysts.

Required: Master's in data science or related field, strong Python/R skills, SQL, Tableau/Power BI, and experience with ML algorithms. You will communicate findings to non-technical stakeholders and contribute to cross-functional projects.

Qualifications

• Master's degree in Data Science, Statistics, or related field.
• 3+ years of experience in data science, ML, or related field.
• Strong programming skills in Python and/or R.
• Experience with data visualization tools such as Tableau or Power BI.
• Familiarity with SQL and big data technologies (Hadoop, Spark).
• Excellent communication and collaboration skills.

Responsibilities

• Develop and implement data-driven solutions to complex business problems.
• Analyze large datasets to identify trends and provide actionable insights.
• Collaborate with cross-functional teams to translate needs into data science projects.
• Build and deploy machine learning models to automate processes.
• Create visualizations and dashboards to communicate findings to stakeholders.
• Stay updated with data science/ML advancements.
• Mentor junior team members.

Skills

Python

R

SQL

Education

Master's degree in Data Science or related field

Tools

Tableau

Power BI

Hadoop

Spark

Job description

Cedar East in Phoenix, AZ, seeks a Data Scientist for a full-time role to turn data into strategic insights. You will analyze datasets, build predictive models, and create dashboards, collaborating with engineers and business analysts.

Required: Master's in data science or related field, strong Python/R skills, SQL, Tableau/Power BI, and experience with ML algorithms. You will communicate findings to non-technical stakeholders and contribute to cross-functional projects.