Junior Data Scientist

Job Description

Salary: Exempt, DOE

Be a part of a Data Analysis team - implement new systems and support existing core. Ability to learn the business of our commercial, federal government, and healthcare clients from the ground up. Build a career on a strong foundation and lastly, be valued as a FORCE MULTIPLIER.

Qualifications:

You have a background in data science and enjoy teaching and explaining to others both the theory and practical application behind the methodologies your utilizing

You are a wizard with extracting data from varied sources, and bringing to bear cutting-edge algorithms and techniques on that data – but most importantly, you are detail oriented and have the ability to audit your own work.

The ideal candidate should have experience with KNIME and a good understanding of machine learning

The main tasks will include the creation of workflows for various projects, troubleshooting performance issues, optimizing workflows for large datasets, and providing guidance on how to handle large datasets efficiently

Proficient in creating documentation related to design documents, testing, handover and walk-through documents

Excellent analytical, interpersonal and leadership skills along with excellent oral and written communication skills

Knowledge of Data Ethics and Privacy: Understanding of data privacy laws (like GDPR) and ethical considerations in data science.

Knowledge of cloud platforms, such as AWS or Azure, and experience working with big data technologies are desirable

Proficiency in programming languages such as Python ( 1 to 2 Years) or R ( 1 to 2 Years) for data manipulation, analysis, and modeling

Bachelor's degree in Data Science, Computer Science, Statistics, or a related field

Desire to take ownership and run the show end to end

2+ experience working on Data Analytics platforms like Alteryx, Altair, RapidMiner, Knime etc, including developing and creating workflows

Ability to work under pressure and meet tight deadlines

Experience with data preprocessing, feature engineering, and data cleaning techniques.

Basic knowledge of SQL for data querying and manipulation

Knowledge of HIPAA, GDPR, CPRA, and other data privacy regulations

Collaborating and communicating effectively with multiple teams

Willing to learn and implement new technologies

Working as a team player

Responsibilities:

Assist in data collection, preprocessing, and cleaning to ensure data quality and usability for analysis.

Perform exploratory data analysis to identify patterns, trends, and relationships in the data.

Assist in developing and maintaining data pipelines and workflows for data ingestion, transformation, and analysis

Stay abreast of the latest data science techniques, tools, and methodologies, and apply them to enhance analytics capabilities.

Collaborate with data engineering and IT teams to ensure seamless integration and availability of data for analysis.

Contribute to the development and improvement of data science workflows and best practices.

Document and communicate the methodology, assumptions, and limitations of data models and analyses.

Data Quality Assurance: Regularly check data sources for integrity and accuracy.

**This is a 100% Onsite position and we prefer Local Candidates**