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

Remote • Posted 4 hours ago • Updated 4 hours ago
Contract Corp To Corp
Contract Independent
Contract W2
6 Months
No Travel Required
Remote
$50 - $60/hr
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Fitment

Dice Job Match Score™

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Job Details

Skills

  • AWS
  • Azure
  • Google Cloud
  • Spark
  • Databricks
  • Airflow
  • lakehouses
  • Data warehouses
  • scikit
  • PyTorch
  • TensorFlow
  • Tableau
  • Power BI
  • Agile
  • statistics
  • statistical modeling
  • data science
  • Python
  • R
  • data engineering concepts
  • ETL
  • ELT
  • data pipelines
  • data integration
  • data modeling
  • data preparation

Summary

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91172751
  • Position Id: 9087358
  • Posted 4 hours ago

Company Info

About SnapCode Inc

Snapcode Inc., a US-based IT staffing firm, provides specialized technology professionals to businesses seeking their expertise. The company’s mission is to connect talented individuals in the IT sector with organizations that are striving to achieve their business objectives.

Core Services
Snapcode Inc provides a range of staffing solutions tailored to the diverse needs of its clients:
•    Contract Staffing: Temporary placements to fill short-term roles for project-specific needs.
•    Permanent Staffing: Recruitment of candidates for full-time positions within organizations.
•    Managed Services: Comprehensive IT solutions, including team management and project execution.
•    Executive Search: Services to identify and place top-level IT executives in leadership roles.

Industries Served
Snapcode Inc specializes in staffing for multiple industries:
•    Information Technology
•    Financial Services
•    Healthcare
•    Retail and E-commerce
•    Telecommunications

Commitment to Excellence
Snapcode Inc. emphasizes a customer-centric approach, ensuring that both its clients and candidates derive personalized benefits from its solutions. The company employs stringent screening procedures and maintains a comprehensive network of highly skilled professionals, enabling it to meet the demands of rapidly changing technological landscapes.

Conclusion
Snapcode Inc. stands out in the competitive US IT staffing market due to its commitment to quality and its capacity to adapt to industry-specific challenges. By aligning expertise and innovation, the firm provides staffing solutions that enable organizations to flourish in the digital era.

Contact the job poster
Praveeth Chava

Praveeth Chava

Recruiter @ SnapCode Inc
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