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Need 14+ years of Data Scientist at Remote for Long Term Contract

SnapCode IncUnited States🇺🇸United StatesPosted Sep 17, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
18 hours ago
SQLAWSETLMachine LearningScikit-learnTableauAgileAirflowAzureDatabricksGoogle CloudPower BIPyTorchPythonTensorFlow

Job Description

Hi ,

Hope you are doing well,
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.

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