Senior Data Scientist
- Local Richmond, VA candidates only, please.
- This is a hybrid position. Candidates will be required to report on site in Richmond, VA on a weekly basis. One week will be spent fully on site, the next week remote, and so on and so forth.
Job Description:
- In this advanced level role, the Senior Data Science Analyst works independently on the most complex programs.
- Researches and applies knowledge from existing and emerging data science principles, theories and practices to identify and solve complex analytic problems using established procedures, tools and platforms.
- Conducts requirements gathering and design sessions and defines and documents the scope and objectives for the business use case/solution.
- Performs detailed analysis and feature engineering on data.
- Works at a high technical level in all phases of data analysis, design, development and support of analytic solutions including design and development of data structures, data integration processes and user interfaces to illustrate the analytical insights.
- Guides and/or leads less experienced Data Science Analysts analytic projects, as needed.
- Delivers oral briefs, presentations and insights from analysis performed or solutions developed.
- Tests, compares and validates the results from Machine Learning models before implementing the solution.
- Works company-wide, in multi-platform environments, on multiple project assignments.
Skills and Experience
- At least 5 years of experience in Data Science using R/Python etc. on Hadoop platform
- Strong skills in statistical application prototyping with expert knowledge in R and/or Python development
- Design machine learning projects to address business problems determined by consultation with business partners.
- Work on a variety of datasets, including both structured and unstructured data.
- Deep knowledge of machine learning, data mining, statistical predictive modeling, and extensive experience applying these methods to real world problems
- Extensive experience in Predictive Modeling and Machine Learning: Classification, Regression & Clustering
- Understanding and experience working on Big Data Ecosystems is preferred : Hadoop, HDFS, Hive, Sqoop, Spark: pySpark, SparkR, SparkSQL, Jupyter & Zeppelin notebooks
- Understanding and/or Experience with data engineering is a plus
- Experience with cloud technologies(AWS, Azure, GCP, Snowflake) is big plus
- Create Interpretable visualizations that tell a story and paint a vision
Qualifications:
- Education: Bachelors or higher preferred
- Discipline: Computer Science, Information Systems, Mathematics
Proper email communication will only be done to and from @astyra.com email addresses. Please ensure you are communicating with approved Astyra recruiters by checking this point when receiving offers and messages from us. Please ensure you are communicating within these guidelines and proper channels for the quickest possible interview consideration!
#ASTHIGH
Job Type: Contract
Pay: $58.00 - $63.00 per hour
Benefits:
- Dental insurance
- Health insurance
- Vision insurance
Experience level:
Schedule:
- Day shift
- Monday to Friday
Application Question(s):
- Are you a US citizen or permanent resident?
Education:
Experience:
- R: 5 years (Preferred)
- Python: 5 years (Preferred)
- Data science: 5 years (Preferred)
- Statistical application prototyping: 5 years (Preferred)
- Machine learning: 5 years (Preferred)
- Datasets: 5 years (Preferred)
- Predictive modeling: 5 years (Preferred)
- Big data: 5 years (Preferred)
- Data engineering: 5 years (Preferred)
- Cloud technologies: 5 years (Preferred)
Work Location: Hybrid remote in Richmond, VA 23219