Data Scientist

IMCS Group; Englewood (CO); Hybrid; USD 107,000 - 196,000; Full time

Job summary

IMCS Group in Englewood, CO seeks a data analytics engineer for a 12-month contract. Hybrid onsite work in Englewood, local candidates only.

The role requires expert Python or R or MATLAB, Spark, ML, data preprocessing, SQL, and experience with high-performance languages like Scala/Java/C++. Strong modelling, multicollinearity handling, and data architecture knowledge are expected, with a commitment to learning and knowledge sharing.

Qualifications

• Expert-level analytics languages, preferably Python, R, or MATLAB.
• Experience with Big data tools, particularly Spark.
• Advanced quantitative analysis including model results, causality, and multicollinearity.
• Ability to work in compiled high-performance languages (Scala/Java/C++).
• Experience with relational databases (SQL).
• Broad modelling experience with ML and Graph/Network analytics.
• Data pre-processing and exploratory data analysis.
• Understanding of data architecture, data warehouse, data marts.
• Eagerness to learn and share knowledge.

Skills

Python

R

MATLAB

Spark

Scala

Java

C++

SQL

Machine Learning

Graph Analytics

Data Pre-processing

EDA

Data Architecture

Data Warehousing

Team Learning

Job description

Location: Englewood, CO 80111 (Onsite-Hybrid. LOCAL CANDIDATES ONLY!)

Type: Contract

Duration: 12 months

Must Have Skills:

• Expert-level skills with analytics languages such as Python (preferred), R, or MATLAB
• Experience with Bigdata tools, particularly Spark
• Expert-level quantitative analysis skills including interpretation of model results, consideration of causality, treatment of multicollinearity
• The ability to work in compiled, high-performance languages (e.g., Scala, Java, C++)
• Experience with relational databases
• Broad experience and solid theoretical foundation on the modelling process using a variety of algorithmic techniques, including Machine Learning, and Graph/Network Analytics
• Data pre-processing, exploratory data analysis using a variety of techniques
• Basic understanding of data architecture, data warehouse, and data marts
• Demonstrated ability and desire to continually expand skill set, and learn from and teach others