Job Location: Reston, VA
Eliassen Group is looking for a Lead Data Scientist to help join a growing team within a large federal medical insurance organization located in Reston, VA. The lead will be helping manage a team of 2 Sr. Data Scientists and 2 mid level Data Scientists on a highly versatile and agile project helping with machine learning and AI for the overall enterprise. This team is not very senior/ developed within this client but they are growing substantially! This will be a great time to help bring new ideas and push the team forward! If you feel like you would be a great fit feel free to apply today.
Eliassen Group offers a wide range of benefits from 401 match to medical and dental insurance for those who qualify
Due to client requirements this role will be open to W2 US Citizens and Green Card Holders Only
DUTIES & RESPONSIBILITIES:
1) Product Leadership (30%)
• Evaluating and defining use cases for potential product ideas
• Lead a team of data scientists to implement complex ML solutions and data products
• Influencing business partners through presentation of data-based recommendations
• Communicating of state of business, experiment results, etc. to internal and external partners
• Spreading best practices to analytics teams
2) Exploratory Analysis (30%)
• Proposing what to build in the next roadmap
• Understanding ecosystems, user behaviors, and long-term trends
• Identifying levers to help move key metrics
• Evaluating and defining metrics
• Building models of user behaviors for analysis or to power production systems
3) Data Infrastructure (20%)
• Working in Hadoop and HIVE primarily
• Explore the AWS Cloud platform and AWS SageMaker tool
• Authoring pipelines via SQL and Spark or Python based ETL framework
• Building key data sets to empower operational and exploratory analysis
• Performing and automating analyses using statistical language R & Python
4) Product Operations (20%)
• Designing and evaluating experiments monitoring key product metrics, understanding root causes of changes in metrics
• Building and analyzing dashboards and reports
Required qualifications:
• 6-9 Years data science research or industry experience
• Python proficiency –This team loves Jupyter
• MS or PhD in CS or STEM
• Team Lead Experience – Experience leading a data science team to implement ML solutions
• Machine Learning experience — Successful implementation of ML solutions
• Communication Ability — Experience/comfort in presenting abstract concepts
• Project Management Experience — Experience leading large DS/ML projects
• Cloud Technology Experience – Experience working with cloud infrastructure and track record in successful migration to cloud from on-prem
• Healthcare Experience — Experience with data science/ML techniques as applied to Healthcare, specifically experience on recommendation engines for members and claims anomaly detection
Required abilities and skills:
• Advanced proficiency in Python and Spark/Scala for classical statistical analysis and data modeling, machine learning and ETL processes.
• Ability to write production-ready code including documentation and unit tests.
• Team Lead experience (i.e., managing tasks for other Data Scientists; Lead communicator to client and other DEA Team Leads; good communication skills orally and in writing)
• Experience with machine learning methods like k-nearest neighbors, random forests, ensemble methods and more.
• Proficiency in data science modeling – AI, Machine Learning, Deep Learning, Decision Trees, Random Forest, Neural Networks, Supervised/Unsupervised Learning, Forecasting, Predictive Modeling and Clustering.
• Strong background in machine learning using unsupervised and supervised methods.
• Deep knowledge of fundamentals of machine learning, data mining and statistical predictive modeling, and extensive experience applying these methods to real world problems
• Fluency in SQL and other programming languages. Some development experience in at least one scripting language (PHP, Python, Perl, etc.)
• Proven experience of using Python Machine Learning & Data Pre-processing Libraries. (Scikit Learn, Numpy, Pandas)
• Experience working with cloud technologies and infrastructure
• Ability to initiate and drive projects to completion with minimal guidance
• The ability to communicate the results of analyses in a clear and effective manner
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