Senior Data Scientist - 142468-1
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6 month contract. - W2 only
Hybrid in the Pittsburgh, Pa area or in the Cleveland, Oh area.
This is a W2 contract. Candidates must be able to work on our W2 without restrictions, sponsorship or the need for an additional employer so 3rd party resumes cannot be considered at this time.
As a Data Scientist, your primary responsibilities will include developing and executing use cases to address various business challenges and opportunities. This involves a thorough process of analyzing, preparing, and wrangling data to ensure it is in the optimal state for advanced analytics. You will be tasked with creating and refining advanced analytics models that can provide actionable insights to drive business decisions. Additionally, you will develop scripts for deploying these models into production environments, ensuring they are seamlessly integrated and operational.
Effective communication is crucial in this role, as you will need to present your findings and recommendations to stakeholders in a clear and compelling manner. This includes preparing detailed reports and presentations that can be understood by both technical and non-technical audiences.
To be successful in this role, you must have a strong technical skill set. Proficiency in Python is essential, along with experience using data science tools such as Scikit-Learn, XGBoost, and LightGBM. You should also have knowledge of big data technologies like Spark, which will enable you to handle large datasets efficiently. A solid foundation in statistics is necessary to perform rigorous data analysis, and familiarity with deep learning libraries such as Keras/TensorFlow, PyTorch, and MXNet will be beneficial for developing complex models. An understanding of Bayesian statistical methods will further enhance your analytical capabilities.
In addition to these technical skills, you should be proficient in using Microsoft Word and PowerPoint for documentation and presentations. Experience with SQL is also required for database management and querying.
While not mandatory, project management skills are a valuable asset in this role, as they will help you manage multiple projects and deadlines effectively. Excellent written and verbal communication skills are essential for collaborating with team members and conveying your insights to stakeholders.
A Masters degree in Computer Science, Statistics, or a related field is preferred, although relevant work experience can also be considered. During the interview process, you should be prepared to discuss and provide examples of your previous work, demonstrating your expertise and experience in the field.
