Data Scientist All level

Interclypse is seeking Data Scientists.

The Interclypse difference is our emphasis on employee growth and development through continuous learning, mentorship, and empowerment. Interclypse employees grow in a positive cultivating work environment with endless career opportunities. Let Interclypse empower you by putting you in the driver's seat of your career.

Currently, Interclypse is seeking motivated, career and customer-oriented Data Scientists to join our team to provide exemplary support to our customers and to begin an exciting and rewarding career within Interclypse. As a Data Scientist, you will enjoy leading edge work developing innovative solutions to address data analytics challenges, to 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.

Requirements

Education

Degree must be 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, to 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.
• To succeed in this position; you need to be curious, creative, and tech-savvy.
• You need to stay up to date with data processing software and algorithms, have an in-depth understanding of statistics and mathematics and be proficient in writing data processing algorithms.
• You must be persistent and have excellent analytical and problem-solving skills.
• Devise strategies for extracting semantic value from large datasets.
• Develop conclusions from data using mathematics, statistics, computer science, and application specific knowledge and concisely communicate these conclusions.
• Provide informed recommendations regarding competing technical solutions through awareness of the constantly shifting collections, processing, storage and analytic capabilities and limitations.

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
• Ability to work in a dynamic team-oriented environment, demonstrate teamwork and initiative, and function 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 a plus
• Experience with Data catalogs and data management
• Ability to help visualize the data for analysis and to display results

Why You Might Like This Job:

• You’re tired of working for a massive organization.
• You want to work for an established company that values your stable career.
• You want to work with a team who loves their job and making cool stuff.
• You want to be part of a team focused on making a positive impact.
• You want to grow your skills in management or work toward becoming an expert.
• You want to have the option for career mentorship, both in technology and in business.
• You value a company with a strong culture of growth and support.