Data Scientist

The Wilson Group KW23; Fairbanks (AK); Remote; USD 90,000 - 150,000; Full time

Benefits offered by this job

Flexible work hours

Competitive pay

Professional development opportunities

Supportive workplace culture

Job summary

A data-driven company is looking for a passionate Data Scientist to support their team in uncovering trends and solving complex problems using large datasets. The ideal candidate will have at least three years of experience and a strong background in mathematics or computer science, capable of developing statistical models and data-driven solutions. This position offers flexible working hours and a competitive benefits package in a supportive and innovative environment.

Qualifications

• Permanent residents or legal citizens from the United States.
• Three years or more of relevant employment experience as a data scientist.
• Strong grasp of statistics and experimental design.
• Proficient in SQL, R, or Python; experience with Hadoop or Spark is a plus.
• Experience with ML models and libraries (Keras, TensorFlow, scikit-learn).
• Strong statistics, visualization, and experimental design.
• Experience with data wrangling and large data sets.
• Excellent communication.

Responsibilities

• Identify and solve business problems using data.
• Analyze large data sets for trends and patterns.
• Collaborate with teams to strengthen data pipelines.
• Design and run experiments (A/B testing).
• Collaborate with analysts and engineers to strengthen data pipelines.
• Create visualizations and dashboards to monitor data.
• Maintain data quality and integrity.
• Stay current with new methods.

Skills

Data analysis

Machine learning

Statistical modeling

Data visualization

Communication skills

A/B testing

Big data (Hadoop/Spark)

Cloud platforms

Keras

TensorFlow

scikit-learn

Education

Master’s or Ph.D. in relevant field

PhD

Tools

SQL

Python

R

Hadoop

Spark

AWS

GCP

Azure

Job description

Overview

Regarding decisions, inspiring creativity, and driving development, we really believe in the power of data. By means of modern data analytics, we streamline mountains of data and derive insightful conclusions, therefore confirming our leadership in [industry]. We are looking for a Data Scientist that is passionate and competent to join our team and help us to uncover trends, solve difficult problems, and guide our strategy with data-driven decisions.

Responsibilities

• Identify problems the business faces, compile pertinent information, and create models to solve those problems and raise performance.
• Analyze large data sets to discover trends, patterns, and linkages.
• Develop and run statistical models, machine learning methods, and predictive analytics.
• Create data-driven solutions and experiments (A/B testing).
• Collaborate with analysts and engineers to strengthen data pipelines and frameworks.
• Visualize insights with clear and compelling visualizations.
• Create and update dashboards to monitor key corporate data points.
• Maintain data correctness, quality, and integrity.
• Keep up to date with latest methods and techniques.

Qualifications

• Permanent residents or legal citizens from the United States.
• Strong background in mathematics, statistics, data science, computer science, or related field (Master’s or Ph.D. advised).
• Three years or more of relevant employment experience as a data scientist or similar, with body of work to highlight.
• Knowledge of SQL, R, or Python; experience with large data systems like Hadoop or Spark is a benefit.
• Competent in applying several machine learning models and libraries like Keras, TensorFlow, and scikit-learn.
• Strong grasp of statistics, data visualization techniques, and experimental design.
• Mastery of large data collections, data cleansing and transformation, and data wrangling.
• Excellent written and verbal communication; proficient in explaining results to lay and expert audiences.
• Experience with cloud platforms (AWS, GCP, Azure) is a benefit.

Benefits

• Work flexible hours from anywhere.
• Competitive pay scale and benefits package.
• Opportunity to develop skills and advance professionally.
• Workplace norms supporting diversity, innovation, and teamwork.
• Chance to support creative, practically significant data science projects.