Data Scientist

Hello,

Hope you are doing great!

If you are actively or passively searching for new opportunities, I would like to make you aware of the Data Scientist role. I will be happy to discuss what you may be looking for in your next role and what this position will offer your career.

Job Title: Data Scientist

Location: Remote (USA)

Duration: 6-month contract

Experience Required: 10+ Years

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.