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We are looking for an experienced and innovative Data Scientist to join our team. In this role you will apply advanced statistical and machine learning techniques to solve complex business problems and derive insights from large datasets. The ideal candidate will have a strong foundation in data science programming and data visualization and a passion for making datadriven decisions that drive business success.
Key Responsibilities:
Develop and implement machine learning models to solve business problems.
Perform exploratory data analysis (EDA) to identify trends correlations and actionable insights.
Create predictive models and algorithms using statistical and machine learning techniques.
Design and maintain data pipelines and workflows to ensure efficient data processing.
Optimize models and algorithms for improved performance and scalability.
Continuously monitor and refine models to ensure accuracy and relevance over time.
Qualifications:
Bachelors or Masters degree in Data Science Computer Science Mathematics Statistics or a related field.
Proven experience in data science with a strong understanding of machine learning statistics and data analysis techniques.
Proficiency in programming languages such as Python R or similar.
Strong knowledge of SQL and database management.
Experience building and deploying machine learning models in production environments.
Excellent problemsolving skills and ability to work independently or as part of a team.
Excellent communication skills with the ability to present complex data insights to stakeholders.
Eligibility Requirements:
To be considered for this role applicants must be able to provide proof of U.S. citizenship as a condition of employment.
Eligible to work across all U.S. states without the need for employer sponsorship.
Ability to work independently and as part of a team.
If you are passionate about data science love tackling complex challenges and want to contribute to impactful data driven solutions we encourage you to apply.
How to Apply:
Please submit your resume and a cover letter highlighting your experience and motivation for applying. We look forward to hearing from you
Full Time