Data Scientist

Creative Chaos; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Creative Chaos is seeking a highly skilled Data Scientist to join our dynamic team. The role focuses on analyzing large datasets, building predictive models, and enabling data-driven decisions across the business.

The ideal candidate has 2-3 years of experience, strong Python or R skills, and experience with PowerBI, Hadoop, Spark, TensorFlow, or PyTorch. You will collaborate with diverse teams and mentor junior data scientists in a fast-paced environment.

Qualifications

• Bachelors in Computer Science, Statistics, Mathematics, or related field.
• 2-3 years of industry experience as a data scientist.
• Strong knowledge of PowerBI, ML, statistical modeling and data mining.
• Proficiency in Python or R for analysis and modeling.
• Experience with big data tech such as Hadoop, Spark, or SQL.
• Experience with TensorFlow or PyTorch is a plus.
• Strong problem-solving and communication skills.

Responsibilities

• Lead data science projects from problem formulation to deployment.
• Collaborate with cross-functional teams to translate business needs into data science work.
• Develop and implement ML algorithms and statistical models.
• Perform exploratory data analysis to identify patterns and insights.
• Build robust data pipelines with data engineers.
• Evaluate models using appropriate metrics and techniques.
• Present findings to stakeholders clearly and concisely.
• Stay updated with data science advances and practices.
• Mentor junior data scientists on the team.

Skills

Data analysis

ML & statistics

Python / R

Cross-functional teamwork

Problem solving

Education

Bachelor's degree in CS/Statistics/Math

Tools

PowerBI

TensorFlow

PyTorch

Hadoop

Spark

SQL

Job description

Job Brief:
We are seeking a highly skilled Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. You will be responsible for analyzing large datasets to uncover trends and insights, building predictive models, and contributing to data-driven decision-making processes.

Duties and Responsibilities:

• Lead the development and execution of data science projects, including problem formulation, data collection, analysis, modeling, and deployment of machine learning models.
• Collaborate with cross-functional teams to identify business opportunities and translate them into data science projects.
• Develop and implement machine learning algorithms and statistical models to solve complex business problems.
• Perform exploratory data analysis to gain insights and identify patterns in large and complex datasets.
• Work with data engineers to build robust and scalable data pipelines.
• Evaluate and validate models using appropriate performance metrics and statistical techniques.
• Present findings and insights to stakeholders in a clear and concise manner.
• Stay up-to-date with the latest advancements and best practices in data science and machine learning.
• Mentor and guide more junior data scientists in the team.

Requirements

• Bachelors in Computer Science, Statistics, Mathematics, or a related field.
• 2-3 years of industry experience as a data scientist.
• Strong knowledge and experience in PowerBI, machine learning, statistical modeling, and data mining.
• Proficiency in Python or R for data analysis and modeling.
• Experience with big data technologies such as Hadoop, Spark, or SQL.
• Experience with deep learning frameworks such as TensorFlow or PyTorch is a plus.
• Strong problem-solving and critical-thinking skills.
• Excellent communication and presentation skills.
• Ability to work effectively in cross-functional teams.
• Strong attention to detail and ability to work on multiple projects simultaneously.