Data Scientist - All Levels

About the role

Interclypse is seeking Data Scientists to join our team. We emphasize employee growth and development through continuous learning, mentorship, and empowerment. As a Data Scientist, you will engage in developing innovative solutions to address data analytics challenges, collect large volumes of data from various sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.

Requirements

• Education: Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science is required.
• Primary Responsibilities: Engage in developing innovative solutions to address data analytics challenges, collect large volumes of data from varying sources, perform data cleansing, transformation, interpretation, inferencing, create solutions to overcome mission challenges, and communicate with interested stakeholders.

Required Skills/Experience

• Experience with SQL databases and data models (e.g., PostgreSQL, Amazon Aurora)
• Experience with programming in R, Python, Java
• Experience with NoSQL databases (e.g., MongoDB, Accumulo)
• Experience designing data models and approaches
• Experience working in a cloud environment (e.g., AWS, Azure)
• Experience with Linux
• Excellent interpersonal skills and ability to get along with data scientists, engineers, and customers at all levels
• Experience working in a dynamic team-oriented environment, demonstrating teamwork and initiative, and functioning productively in a dynamic work environment

Desired Skills/Experience

• Experience with programming in TensorFlow, PyTorch
• Experience with Hadoop, MapReduce
• Experience with Tableau
• Experience with Cognos
• Experience with designing, implementing, and using REST APIs
• Experience with RDF/OWL, SPARQL, and Semantic Web technologies
• Experience with Statistical and ML analytics and modeling (e.g., R, Spark, etc.) or other deep learning frameworks
• Experience with Data catalogs and data management
• Experience with visualizing data for analysis and displaying results

Benefits

• Employee Impact Program: Opportunities to define and get rewarded for contributions to the company, customer, and employee.
• Comprehensive time off and leave programs: 31 days of paid personal time off, parental leave, bereavement leave, military reserve leave, jury duty leave, retirement with unlimited 401K match up to 8%, medical, dental, vision insurance, accidental death and dismemberment insurance, short-term and long-term disability coverage, educational support, and company apparel.
• Health and wellness benefits: Vision and dental insurance, life insurance, and disability coverage.
• Social events: Holiday party, spring picnic, fall picnic, and more.

Pay

The base salary range provided is not adjusted for geographic differences associated with where the work is being performed. Actual salaries will vary depending on factors including but not limited to location, candidate’s experience and education/training, internal peer equity, and market and business considerations.

Schedule

Details on the schedule are not specified in the job posting.