Need Data Scientist at Remote for Long Term Contract

SnapCode Inc; United States; Remote; USD 110,000 - 165,000; Full time

Job summary

SnapCode Inc. is seeking a Data Scientist to join our analytics team. You will analyze complex datasets, build statistical and predictive models, and help design reliable data pipelines to support business decisions.

The role combines analytical and technical work across data science, data engineering, product, and business teams. Strong communication skills are essential to translate model results into actionable insights for stakeholders.

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, CS, Math or Engineering.
• Strong experience in statistics, statistical modeling and data science.
• Proficiency in Python and/or R for analysis and modeling.
• Strong SQL skills with relational databases.
• Experience with data preparation, transformation and feature engineering.
• Hands-on data engineering concepts: ETL/ELT, pipelines, integration, data quality.
• Strong analytical and problem-solving skills; ability to work independently and in teams.
• Excellent communication and presentation skills.

Responsibilities

• Analyze large datasets to identify trends, patterns, and actionable insights.
• Apply statistical methods and data science techniques to solve business problems.
• Develop, validate, and deploy predictive and statistical models.
• Perform exploratory data analysis, feature engineering and data transformation.
• Collaborate with data engineers and technical teams to build and maintain data pipelines.
• Work with structured and unstructured data from multiple sources.
• Support data ingestion, cleansing, transformation and integration activities.
• Translate analytical questions into data-driven solutions and communicate results clearly.
• Collaborate with data science, engineering, product and business teams.
• Monitor model performance and data quality; improve analytical solutions.
• Contribute to best practices, documentation and standards.

Skills

statistics

data modeling

data science

Python

R

SQL

data preparation

ETL/ELT

data pipelines

data quality

communication

problem-solving

teamwork

Education

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering

Tools

Spark

Databricks

Airflow

Tableau

Power BI

Job description

Job Title: Data Scientist

Job Overview

We are looking for a skilled Data Scientist to join our team and support the broader data and analytics organization. The ideal candidate will have a strong foundation in statistics, data modeling, and data science , along with practical experience in data engineering and data preparation .

This role will work closely with cross-functional teams to analyze complex datasets, develop statistical and predictive models, generate actionable insights, and help build reliable data pipelines and solutions. The successful candidate should be comfortable working across both the analytical and technical aspects of data science.

Key Responsibilities

• Analyze large and complex datasets to identify trends, patterns, relationships, and actionable business insights.
• Apply statistical methods and data science techniques to solve business and technical problems.
• Develop, validate, and deploy predictive, statistical, and machine learning models.
• Perform exploratory data analysis, feature engineering, data transformation, and data validation.
• Partner with data engineers and other technical teams to develop and maintain data pipelines and datasets required for analytics and modeling.
• Work with structured and unstructured data from multiple sources.
• Support data ingestion, cleansing, transformation, and integration activities.
• Translate business requirements and analytical questions into data-driven solutions.
• Collaborate with the broader data science, engineering, product, and business teams.
• Communicate analytical findings, model results, and recommendations clearly to both technical and non-technical stakeholders.
• Monitor model performance and data quality and continuously improve analytical solutions.
• Contribute to data science best practices, reusable frameworks, documentation, and technical standards.

Required Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related field.
• Strong experience in statistics, statistical modeling, and data science.
• Experience with Python and/or R for data analysis and modeling.
• Strong SQL skills and experience working with relational databases.
• Experience with data preparation, transformation, and feature engineering.
• Some hands-on experience with data engineering concepts, including ETL/ELT, data pipelines, data integration, and data quality.
• Strong analytical and problem-solving skills.
• Ability to work independently as well as collaboratively with a broader technical team.
• Strong communication and presentation skills.

Preferred Qualifications

• Experience with cloud data platforms such as AWS, Azure, or Google Cloud.
• Experience with data engineering tools and frameworks such as Spark, Databricks, Airflow, or similar technologies.
• Experience working with modern data warehouses/lakehouses.
• Familiarity with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
• Knowledge of experimentation, A/B testing, forecasting, optimization, or time-series analysis.
• Experience working in an Agile or cross-functional environment.