Skills Required
- Strong programming skills: must be proficient in programming languages such as Python, R, and SQL to collect, manipulate, and analyze data effectively.
- Expertise in statistical analysis, machine learning, and data visualization: have a deep understanding of statistical analysis, machine learning algorithms, and data visualization tools.
- Familiarity with tools like Tableau or Power BI.
- Knowledge of big data technologies: familiar with big data technologies such as Hadoop, Spark, and NoSQL databases to process and store large datasets.
- Proficient in big data technologies like Hadoop and AWS native services.
- Experience with data mining, data cleaning, and data preprocessing: must have the skills to identify patterns and extract meaningful insights from raw data. This involves cleaning and preprocessing the data to ensure its quality and relevance.
- Ability to undertake data science exploratory projects/use cases independently and present/demo the analysis and conclusion to the internal and external user community.
- Strong communication and collaboration skills: must possess excellent communication skills and excellent problem-solving skills with the ability to think analytically.
Minimum Requirements
- 3+ years of experience in software development using Python, and R.
- 3+ years of experience in one or more of the following solution areas:
- Data Standardization
- Aggregation
- Text mining
- Web Scraping
- Classical Machine learning modeling.
- Experience working with Natural Language Processing (NLP)
- Experience with version control software.
- Experience with documenting models.
- SAS, Github experience, and cloud computing are a plus.
Educational Requirement:
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field
Work Authorization: US Citizen
Work Module: Hybrid Role
Job Type: Full-time
Pay: $100,000.00 - $125,000.00 per year
Benefits:
- Dental insurance
- Health insurance
- Paid time off
- Retirement plan
- Tuition reimbursement
- Vision insurance
Schedule:
Work Location: Hybrid remote in Herndon, VA 20170
