Lead Data Scientist

We are looking for a highly skilled Data Scientist with expertise in computer science, mathematics, or statistics. The ideal candidate will have at least 7 years of experience in developing and implementing advanced data science solutions.

Remote/Contract to Hire and open to GC and USC.

Qualified candidates, please apply or submit your resume to: savitha@xsellresources.com

Responsibilities:

• Develop and implement advanced data science solutions to drive business growth and innovation
• Design and execute exploratory data analysis (EDA) to identify trends, patterns, and correlations in complex data sets
• Develop and deploy natural language processing (NLP) models to extract insights from unstructured data
• Design, train, and validate machine learning (ML) models to predict outcomes and drive business decisions
• Collaborate with cross-functional teams to implement data-driven solutions and integrate with existing systems
• Work with large datasets, including sensor data, to develop predictive models and identify trends
• Develop and implement data visualization tools to communicate insights and results to stakeholders
• Stay up-to-date with industry trends and emerging technologies, applying this knowledge to drive innovation and improvement

Qualifications:

Bachelors, Master's or Ph.D. degree in Computer Science, Mathematics, Statistics, or related field

Required Skills:

• Minimum 5 years of experience in data science, with a focus on EDA, NLP, ML model development, validation, and implementation
• Experience working with sensor data, cyber security, or IoT is highly desirable
• Strong programming skills in languages such as Python, R, or SQL
• Experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch
• Experience with NLP libraries such as NLTK, spaCy, or Stanford CoreNLP
• Strong data visualization skills, with experience using tools such as Tableau, Power BI, or D3.js
• Excellent communication and collaboration skills, with ability to work with cross-functional teams
• Strong business acumen, with ability to drive business outcomes and communicate insights to stakeholders

Preferred Skills:

• Experience working with cloud-based technologies such as AWS, Azure, or Google Cloud
• Experience with containerization using Docker
• Experience with agile development methodologies such as Scrum or Kanban