Data Scientist

Key Skills

Algorithms, Elasticsearch, Jupyter Notebook, Machine learning techniques, NoSQL, PostgreSQL, Python Programming, Scikit-learn, SQL

Job Description

What we're looking for:

• Work with a team of passionate data scientists to further the mission of Iodine and the Data Science team
• Collaborate with teams, including both technical and business teams, from different functional areas to solve complex problems
• Develop statistical and machine learning algorithms, named entity recognition/named entity linking models, inference rules, probabilistic models, simulation models, and visualizations for client pilots and scaled solutions
• Conduct directed research and development in natural language processing and applied machine learning on healthcare datasets
• Lead multiple projects in parallel and assist other team members
• Present results and overviews to internal and external audiences
• Consult with business teams to provide guidance and capture feedback as required
• Perform exploratory data analysis (EDA), data profiling, and data cleaning on a variety of datasets
• Learning and identifying data relationships across multiple contributing sources, developing and discovering direct and inferred data relationships where rules can be defined and consistently applied, and other strategies to optimize the efficiency and quality of the data being collected, normalized, and delivered
• Acquire data from primary or secondary data sources to maintain data quality programs, and leverage these sources to identify and interpret trends or patterns in complex datasets
• Create innovative frameworks and solutions for extracting value from client data

Requirements

• 3-5 years hands-on experience in machine learning, statistics or experiment design.
• Strong sense of teamwork, and a willingness to help others
• Ability to effectively communicate technical concepts to both technical and non-technical staff members
• Good interpersonal, presentation, and communication skills
• Self-motivated and self-directed, able to learn new technologies quickly and adapt to a rapidly changing environment
• Proficiency in ML/Data Science languages including Python (and packages including but not limited to pandas, numpy, scikit-learn) and SQL
• Proficiency in using SQL and noSQL databases, including PostgreSQL, ElasticSearch
• Master’s Degree or PhD strongly preferred in Computer Science, Statistics, Mathematics, Econometrics, Operations Research, Physics or a related field with a substantial research component and focus on data analysis
• Ability to demonstrate proficiency in machine learning, statistics, data analysis. Must have an excellent knowledge of advanced methods, and experience in applying those methods to a variety of problems
• Solid grasp of probability, statistical or mathematical modeling with analytical and quantitative problem-solving ability. Experience with healthcare data is strongly preferred.
• Demonstrated experience in applying machine learning to real-world problems
• Familiarity with software development cycles, version control systems (including Git), interacting with RESTful APIs, Mac and Linux platforms
• Experience with Jupyter notebooks
• Excellent communication skills
• Experience working in an agile team environment. Understanding of code promotion, code turnover to operations, version control, and QA procedures. Conduct code walkthroughs, peer reviews, and produce technical documentation

Desired additional experience/skills

• Familiarity with big data and distributed computing technologies such as Airflow, Kafka, Apache Spark, Databricks, AWS platform data services
• Knowledge of healthcare data space, including clinical data formats and workflows is strongly preferred
• Very strong scripting and automation skills – you believe you can automate everything)
• Understand database platform layouts and configurations
• Ability to efficiently balance multiple projects in a rapidly changing environment
• Experience in a professional services environment with exposure to senior functional leaders