[Hiring] Data Scientist @Jensen Hughes

Role Description

We are seeking a skilled and motivated Data Scientist to join our team. The ideal candidate will leverage data science techniques to develop predictive models, generate insights, and support strategic decision-making, particularly in revenue forecasting and financial analytics. This role offers the chance to work in a fast-paced environment and advance your career within a supportive and diverse team. This is a remote role in the U.S. and will be responsible for supporting global operations.

• Apply statistical techniques (regression, distribution analysis, hypothesis testing) to derive insights from data and create advanced algorithms and statistical models such as simulation, scenario analysis, and clustering.
• Explain complex models (e.g., RandomForest, XGBoost, Prophet, SARIMA) in an accessible way to stakeholders.
• Visualize and present data using tools such as Power BI, ggplot, and matplotlib.
• Explore internal datasets to extract meaningful business insights and communicate results effectively.
• Write efficient, reusable code for data improvement, manipulation, and analysis.
• Manage project codebase using Git or equivalent version control systems.
• Design scalable dashboards and analytical tools for central use.
• Build strong collaborative relationships with stakeholders across departments to drive data-informed decision-making.
• Enable quick prototype creation for analytical solutions and develop predictive models and machine learning algorithms to analyze large datasets and identify trends.
• Communicate analytical findings in clear, actionable terms for non-technical audiences.
• Mine and analyze data to improve forecasting accuracy, optimize marketing techniques, and inform business strategies.
• Develop and manage tools and processes for monitoring model performance and data accuracy.
• Work cross-functionally to implement and evaluate model outcomes.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related technical field.
• 3+ years of relevant experience in data science and analytics and adept in building and deploying time series models.
• Familiarity with project management tools such as Jira along with experience in 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 along with strong knowledge of data cleaning packages (pandas, numpy).
• Proficiency in machine learning libraries (statsmodels, prophet, mlflow, scikit-learn, 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 along with experience using visualization tools such as Power BI.
• Strong communication and collaboration skills, with the ability to explain complex concepts to non-technical audiences.

Requirements

• 3+ years of relevant experience in data science and analytics.
• Adept in building and deploying time series models.
• Familiarity with project management tools such as Jira.
• Experience in 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 (pandas, numpy).
• Proficiency in machine learning libraries (statsmodels, prophet, mlflow, scikit-learn, pyspark.ml).
• Knowledge of statistical and data mining techniques.
• Competence in SQL and relational databases.
• Experience using visualization tools such as Power BI.
• Strong communication and collaboration skills.

Benefits

• Competitive total rewards package.
• Retirement plan.
• Healthcare coverage.
• A broad range of other benefits.