Jensen Hughes

Jensen Hughes

Jensen Hughes is a global leader in safety, security, and risk-based engineering and consulting services for the built environment. With a team of engineers, scientists, and consultants, they offer a wide range of services including fire protection sys...

Construction & Engineering
1K-5K
Founded 1980

Description

  • Apply statistical techniques such as regression, distribution analysis, hypothesis testing, simulation, scenario analysis, and clustering to derive insights from data.
  • Develop predictive models and machine learning algorithms to analyze large datasets, identify trends, and improve forecasting accuracy.
  • Explain complex models and analytical results to stakeholders in clear, accessible terms.
  • Visualize and present data using tools such as Power BI, ggplot, and matplotlib.
  • Explore internal datasets to extract business insights and communicate findings effectively.
  • Write efficient, reusable code for data manipulation, analysis, and improvement.
  • Manage the project codebase using Git or equivalent version control systems.
  • Design scalable dashboards and analytical tools for central use.
  • Build collaborative relationships with stakeholders across departments to support data-informed decision-making.
  • Develop and manage tools and processes for monitoring model performance and data accuracy.
  • Work cross-functionally to implement and evaluate model outcomes.
  • Mine and analyze data to optimize forecasting, marketing techniques, and broader business strategies.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related technical field.
  • 3+ years of relevant experience in data science and analytics.
  • Experience building and deploying time series models.
  • Familiarity with project management tools such as Jira.
  • Experience with cloud platforms and services such as Databricks or AWS.
  • Proficiency with version control systems such as Bitbucket and Python programming.
  • Experience with big data frameworks such as PySpark.
  • Strong knowledge of data cleaning packages such as pandas and numpy.
  • Proficiency in machine learning libraries such as statsmodels, Prophet, MLflow, scikit-learn, and pyspark.ml.
  • Knowledge of statistical and data mining techniques such as GLM/regression, random forests, boosting, and text mining.
  • Competence in SQL and relational databases.
  • Experience using visualization tools such as Power BI.
  • Strong communication and collaboration skills, including the ability to explain complex concepts to non-technical audiences.

Benefits

  • Opportunity to work remotely while supporting global operations.
  • Opportunity to grow within a supportive and collaborative team environment.
  • Access to training and development programs.
  • Clear career advancement framework with defined expectations and opportunities for progression.

Interested in this position?

Apply directly on the company website

Apply Now

Similar Roles

Sr Staff Quantitative User Researcher

Mozilla 251-1K Internet Software & Services

Mozilla is hiring a Senior Staff Quantitative User Researcher to lead research for Firefox, using quantitative evidence to inform product and design strategy and improve user-centered decision-making at scale.

Agile R SQL
23 minutes ago

Director, Statistical Programming

Definium Therapeutics 51-250 Health Care Providers & Services

Definium Therapeutics is seeking a Director of Statistical Programming to lead clinical programming support for analysis, reporting, regulatory filings, and commercialization across its brain health pipeline.

Statistics
38 minutes ago

Senior Data Scientist, Marketing

Dropbox 1K-5K Internet Software & Services

Senior Data Scientist at a company partnering with Marketing, Brand, Product, and Finance to measure and improve the effectiveness of marketing across paid and owned channels.

Hadoop Machine Learning Python R SQL Statistics
38 minutes ago

Staff Data Scientist, Revenue

Mozilla 251-1K Internet Software & Services

Mozilla is hiring a Staff Data Scientist to own revenue forecasting and executive reporting for its Revenue Data Science team, partnering with Finance and senior leadership to provide trusted insights that guide planning and decision-making.

Python SQL
38 minutes ago

You're on a roll! Sign up now to keep applying.

Sign Up

Already have an account? Log in

Used by 14,729+ remote workers