Data Scientist II

McCoy Corporation•San Marcos, TX

5d•Onsite

About The Position

The Data Scientist II supports the Information Services department by performing advanced data analysis, developing and training machine learning models, and building data-driven applications. This role partners with cross‑functional teams to translate business needs into scalable data solutions and contributes to the ongoing evolution of the organization’s data environment.

Requirements

Excellent organizational skills and attention to detail and able to independently work on projects.
Reads, analyzes, and interprets technical journals and financial reports.
Effectively presents information to top management.
Applies concepts such as fractions, percentages, ratios, and proportions to practical situations and works with mathematical concepts such as probability and statistical inference.
Applies principles of such as probability and statistical inference.
Applies principles of logical or scientific thinking to practical problems and deals with a variety of abstract and concrete variables.
Utilizes strong multi-tasking, organizational, prioritization, and follow-up skills necessary for managing multiple systems issues and projects at one time in a team environment.
Must have a current driver’s license and auto liability insurance.
Bachelor's degree from four-year college or university or two to three years related experience and/or training; or equivalent combination of education and experience.
Minimum of two years of data science experience (additional education may substitute for experience).
Experience with general programming languages (Python preferred).
Experience querying datasets using SQL.
Strong technical knowledge of SQL required.

Nice To Haves

Experience with GCP Looker, IBM Cognos, or similar reporting applications preferred.
Experience working with large datasets (3–4 TB) preferred.
Certifications in data analytics or data science preferred.

Responsibilities

Leads data science, data warehouse architecture, data modeling, and other team projects.
Trains a variety of machine learning models.
Researches algorithms and models and apply them to ongoing projects.
Handles multiple projects concurrently and engages in project management.
Gathers business requirements and works all phases of the project lifecycle.
Translates business requests into data science projects.
Collaborates with interdisciplinary teams to move projects from concept to production.
Develops SQL queries to be used by the data warehouse and/or other relational databases.
Assists with ETL changes and development.
Performs complex data analysis by leveraging statistical techniques.
Examines data to identify trends, outliers, spikes, and noise.
Uses general programming (Python, etc.) to perform data analysis and data science.
Provides support for production and development applications.
Mentors junior team members and contributes to knowledge‑sharing within the team.
Attends and participates in team meetings, training sessions, and company-sponsored programs.
Responds to all emails and calls within a reasonable amount of time.
Keep current with the latest developments in data analytics and data science.
Other assignments and duties as assigned by management.