Data Scientist

What is the preferred candidate location: Local or Drive in Candidates ONLY

What schedule is the candidate required to work:

• Alternate weeks in Richmond VA office; other week remote. (5 days in office, 5 days remote, repeating). Local drive in candidate ONLY, No 100% remote

Top Required Skills

1. Experience with R/Python etc. on Hadoop platform and date used
2. Experience with automated testing, versioning, and deployment workflows (e.g., MLflow, Dataiku, or similar)
3. Experience with using or monitoring of ML models, including model drift detection, performance tracking, reproducibility, and scalable production architecture
4. Experience with developing reports and apps with tools like RShiny to allow stakeholders to interact with data
5. Experience with Predictive Modeling and Machine Learning: Classification, Regression & Clustering

What soft skill requirements do you have (team fit and personality requirements)?

• Strong communication skills both verbal and written
• Ability to lead, collaborate, or work effectively in a variety of teams, including multi-disciplinary teams

High Level Project Overview:
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 Product 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

Required Years of Experience:

• MUST have 5 years of experience in Data Science using R/Python etc. on Hadoop platform

Required Education:

• Minimum of High School Diploma or Equivalency
• Education: Bachelors or higher preferred - Discipline: Computer Science, Information Systems, Mathematics

Are there any specific companies/industries youd like to see in the candidates experience?

• Regulated industry

Preferred Interview Process Overview (High level):

• Teams Camera ON