Develop innovative data analytics solutions; collect data from varied sources; cleanse, transform, and interpret data; derive conclusions; communicate findings to stakeholders; advise on technical solutions.
Stay up to date with data processing software, algorithms, statistics, and mathematics; write data processing algorithms; work effectively in a dynamic team.
Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science.
Experience with SQL databases and data models (e.g., PostgreSQL, Amazon Aurora).
Proficiency in R, Python, Java; experience with NoSQL databases (MongoDB, Accumulo).

Key requirements

Develop innovative data analytics solutions; collect data from varied sources; cleanse, transform, and interpret data; derive conclusions; communicate findings to stakeholders; advise on technical solutions.
Stay up to date with data processing software, algorithms, statistics, and mathematics; write data processing algorithms; work effectively in a dynamic team.
Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science.
Experience with SQL databases and data models (e.g., PostgreSQL, Amazon Aurora).
Proficiency in R, Python, Java; experience with NoSQL databases (MongoDB, Accumulo).

Jobs at Interclypse

5 active roles from this employer in the JobMatcher catalog.

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Jobs at Interclypse

5 active roles from this employer in the JobMatcher catalog.

All company jobs

About the role

Interclypse is seeking Data Scientists to join our team. We emphasize employee growth and development through mentorship and empowerment, providing opportunities for career advancement in a positive, collaborative environment. As a Data Scientist, you will work on leading-edge projects to address data analytics challenges, collect large volumes of data from diverse sources, perform data cleansing and transformation, analyze and model data, derive insights, and communicate results to stakeholders.

Responsibilities

Required qualifications: Desired skills:

Develop innovative data analytics solutions; collect data from varied sources; cleanse, transform, and interpret data; derive conclusions; communicate findings to stakeholders; advise on technical solutions.
Stay up to date with data processing software, algorithms, statistics, and mathematics; write data processing algorithms; work effectively in a dynamic team.
Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science.
Experience with SQL databases and data models (e.g., PostgreSQL, Amazon Aurora).
Proficiency in R, Python, Java; experience with NoSQL databases (MongoDB, Accumulo).
Experience designing data models; experience in cloud environments (AWS, Azure); experience with Linux.
Strong interpersonal skills and ability to work with data scientists, engineers, and customers at all levels.
TensorFlow or PyTorch; Hadoop, MapReduce; Tableau; Cognos; REST APIs; RDF/OWL, SPARQL, Semantic Web.
Experience with stat

About the role

Interclypse is seeking Data Scientists to join our team. We emphasize employee growth and development through mentorship and empowerment, providing opportunities for career advancement in a positive, collaborative environment. As a Data Scientist, you will work on leading-edge projects to address data analytics challenges, collect large volumes of data from diverse sources, perform data cleansing and transformation, analyze and model data, derive insights, and communicate results to stakeholders.

Responsibilities

Required qualifications: Desired skills:

Develop innovative data analytics solutions; collect data from varied sources; cleanse, transform, and interpret data; derive conclusions; communicate findings to stakeholders; advise on technical solutions.
Stay up to date with data processing software, algorithms, statistics, and mathematics; write data processing algorithms; work effectively in a dynamic team.
Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science.
Experience with SQL databases and data models (e.g., PostgreSQL, Amazon Aurora).
Proficiency in R, Python, Java; experience with NoSQL databases (MongoDB, Accumulo).
Experience designing data models; experience in cloud environments (AWS, Azure); experience with Linux.
Strong interpersonal skills and ability to work with data scientists, engineers, and customers at all levels.
TensorFlow or PyTorch; Hadoop, MapReduce; Tableau; Cognos; REST APIs; RDF/OWL, SPARQL, Semantic Web.
Experience with stat

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