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60 Acquire Data Scientist Jobs Hiring Near You

Data Scientist

Mcleese Lake, BC · On-site

CA$102K - CA$128K/yr

Position Title Data Scientist, Technical Services Employment Type Full-Time Organization Gibraltar ... from acquiring the Gibraltar Mine in BC for a single dollar and building it into Canada's second ...

Exposure to acquiring and integrating company technologies. * Familiarity with highly specialized enterprise data environments. * Ability to bridge data science and domain-specific business needs.

Data Scientist

Mclean, VA · On-site

$200K - $240K/yr

Description SAIC is seeking a Data Scientist to provide specialized support across multiple ... Review and acquire data from primary or secondary cost recovery data sources and maintain databases ...

Data Scientist

Dallas, TX · On-site

$85K - $130K/yr

The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting ... Upon acquiring new business, the DSC owns the remaining phases of the project lifecycle:definition ...

Data Scientist

Chicago, IL · On-site

$90K - $130K/yr

The Data Scientist Consultant (DSC) actively pursues new business opportunities for consulting ... Upon acquiring new business, the DSC owns the remaining phases of the project lifecycle:definition ...

Data Scientist This role has been designed as "Onsite" with an expectation that you will primarily ... acquired through specialized training, education, or previous experience. Acts as team member by ...

In-depth experience with data science cloud platforms and their integration into business solutions ... Track record of rapidly acquiring new technical skills and adapting to cutting-edge technologies.

In-depth experience with data science cloud platforms and their integration into business solutions ... Track record of rapidly acquiring new technical skills and adapting to cutting-edge technologies.

The Data Scientist role involves working on all stages of the data science pipeline, from acquiring and assessing data, selecting appropriate models and algorithms and/or deriving custom algorithms ...

The Data Scientist role involves working on all stages of the data science pipeline, from acquiring and assessing data, selecting appropriate models and algorithms and/or deriving custom algorithms ...

The Data Scientist is responsible for supporting data science initiatives that drive business ... The knowledge, skills and abilities typically acquired through the completion of a bachelor ...

$94K - $175K/yr

This role develops and applies quality and confidence methodologies to ensure that newly acquired ... The Data Scientist contributes to the design and refinement of analytical techniques, supports ...

In-depth experience with data science cloud platforms and their integration into business solutions ... Track record of rapidly acquiring new technical skills and adapting to cutting-edge technologies.

Data Scientist

Mcleese Lake, BC · On-site

CA$102K - CA$128K/yr

Position Title Data Scientist, Technical Services Employment Type Full-Time Organization Gibraltar ... from acquiring the Gibraltar Mine in BC for a single dollar and building it into Canada's second ...

... agency can acquire the capability; prepare technical or journeyman's manuals with associated ... Bachelor's Degree in Data Science or equivalent * 5 (Five) or more years of professional experience ...

DATA SCIENTIST

Rome, NY · On-site

$49K/yr

The PALACE Acquire Program offers you a permanent position upon completion of your formal training ... Mathematics, statistics, computer science, data science or field directly related to the position.

Showing results 21-40

Data Scientist

Mcleese Lake, BC • On-site

CA$102K - CA$128K/yr

Full-time

Re-posted 17 days ago


Job description

Position Title

Data Scientist, Technical Services

Employment Type

Full-Time

Organization

Gibraltar Mine

Location

Mcleese Lake, BC

Reporting Relationship

Senior Engineer, Process Control

Salary Range

$102,700 to $128,300

About Trekor

Headquartered in Vancouver, British Columbia (BC), Canada, Trekor Metals Limited (Trekor) is a leading North American copper producer with a robust development pipeline of minerals projects and properties in Canada and the United States.

Known for seeing opportunities where other mining companies do not, Trekor has a two-decade track record of delivering value for shareholders, employees, communities where we operate, and others — from acquiring the Gibraltar Mine in BC for a single dollar and building it into Canada's second-largest copper producer, to transforming Arizona’s Florence Copper into the world's first greenfield in-situ copper recovery operation.

Trekor goes Beyond Potential.

For more information visit our website www.Trekormetals.com.

Role Overview

We are looking for an enthusiastic data scientist to join our technical services team. This role presents an opportunity to expand the site’s data science capabilities and support our data science lead.

Gibraltar Mine currently uses machine learning tools in our milling processes. This role’s key function would be to assist in developing and maintaining these tools by:

  • Training machine learning models on observational data sets from sensors and assays in the mine and mills.
  • Conducting exploratory data analyses to discover opportunities for process improvements, feature engineering, new targets for optimization schemes, and validating data/model health.
  • Designing reports and visualizations to communicate KPIs and insights.

The position will also support other departments by providing broader on-site data management, wrangling, analysis, and modeling to support complex mining and milling processes.

Core Responsibilities
  • Contribute to ongoing model maintenance and optimization activities for existing machine learning tools.
  • Design and implement secure, automated end-to-end data pipelines from source data to analytics-ready datasets for use in production environments.
  • Conduct exploratory data analyses and correlation studies in collaboration with the milling and mining departments.
  • Develop scalable, testable, and reliable internal data science tools, primarily in Python.