Data Scientist – Associate, Experienced Level

Jobtailor; Colorado; On-site; USD 90,000 - 125,000; Full time

Job summary

Jobtailor in Colorado is seeking an Associate Data Scientist to collect, clean, and transform data from multiple sources. You will apply ML and statistical methods to explore data, build models, and help productionize them.

You will create clear visualizations and collaborate with stakeholders to translate insights into actions. The role requires a Bachelor’s degree with 3+ years in data science or related fields, strong SQL/Python/R skills, and the ability to explain technical concepts to

Qualifications

• Bachelor’s degree required for Associate Data Scientist level.
• Bachelor’s degree required for Data Scientist level; advanced degree may be considered with experience.
• Bachelor’s degree in computer science, data science, math, statistics, or related analytical concentration for Data Scientist level.
• Minimum 3 years as a data scientist or application developer for the Data Scientist level.
• 2 years of MS or Ph.D. for the Data Scientist level.
• Certifications may substitute for a postgraduate degree with related experience.
• Experience with SQL, Python, and R.
• Knowledge of statistical analysis and ML algorithms.
• Experience with data visualization tools.
• Ability to develop, validate, and deploy data science models.
• Ability to productionize data science models.
• Ability to communicate technical concepts to diverse audiences.

Responsibilities

• Collect and clean data from various sources while ensuring data quality.
• Manipulate and transform data using SQL, Python, and R.
• Apply statistical techniques and machine learning algorithms for exploratory data analysis.
• Support development, validation, and deployment of ML and statistical models.
• Develop understanding of delivering data science models in production environments.
• Create impactful visualizations to communicate findings.
• Collaborate with stakeholders to understand business challenges and develop data-driven solutions.
• Translate technical concepts into actionable insights.
• Balance learning with practical application.
• Understand project and team scope in relation to broader strategic initiatives.
• Communicate findings to technical and non-technical audiences.

Skills

SQL

Python

R

Machine Learning

Data Visualization

Education

Bachelor’s degree in computer science, data science, statistics, math, or a related analytical concentration

MS or Ph.D. in a related field

Tools

Data Visualization Tools

Job description

• Collect and clean data from various sources while ensuring data quality
• Manipulate and transform data using SQL, Python, and R
• Apply statistical techniques and machine learning algorithms for exploratory data analysis
• Support development, validation, and deployment of machine learning and statistical models
• Develop understanding of delivering data science models in a production environment
• Create impactful visualizations to communicate findings
• Collaborate with stakeholders to understand business challenges and develop data-driven solutions
• Translate technical concepts into actionable insights
• Balance learning with practical application
• Understand project and team scope in relation to broader strategic initiatives
• Communicate findings to technical and non-technical audiences

Requirements

• Bachelor’s degree in computer science, data science, statistics, math, or a related analytical concentration is required for the Associate Data Scientist level
• Other bachelor’s degrees with data science-relevant certifications will be considered
• Bachelor’s degree in computer science, data science, math, statistics, or a related analytical concentration for the Data Scientist level
• Minimum 3 years working as a data scientist or application developer for the Data Scientist level
• 2 years of experience with an MS or Ph.D. for the Data Scientist level
• Relevant certifications may be considered in lieu of a postgraduate degree in combination with years of experience
• Experience with SQL, Python, and R
• Knowledge of statistical analysis and machine learning algorithms
• Experience with data visualization tools
• Ability to develop, validate, and deploy machine learning and statistical models
• Ability to deliver data science models in a production environment
• Ability to communicate technical concepts and findings to technical and non-technical audiences

Core Competencies

Proficient in data collection, cleaning, and manipulation using SQL, Python, and R, with a strong ability to apply statistical techniques and machine learning algorithms. Skilled in developing and deploying data science models in production environments and effectively communicating insights to diverse audiences.

Highest-signal resume keywords

• SQL
• Python
• R
• Machine Learning
• Data Visualization

ATS Optimization Keywords

Hard Skills

• Data Collection
• Data Cleaning
• Statistical Analysis
• Machine Learning Algorithms
• Model Validation
• Model Deployment
• Data Manipulation
• Exploratory Data Analysis
• Data Science Models
• Data Transformation

Soft Skills

• Collaboration
• Communication
• Problem Solving
• Stakeholder Engagement
• Translating Technical Concepts

Certifications & Qualifications

• Data Science Certifications

Industry Keywords

• Data Science
• Analytical Concentration
• Production Environment
• Technical and Non-Technical Audiences

Tools & Technologies

• Data Visualization Tools