Data Scientist

Company OverviewThroughout our worldwide network of experts, clients and communities, we are renowned for our leadership in fire protection engineering – a legacy of responsibility we have proudly upheld since 1939. Today, our expertise extends broadly across closely related security and risk-based fields – from accessibility consulting and risk analysis to process safety, forensic investigations, security risk consulting, emergency management, digital innovation and more.Our engineers and consultants collaborate to solve complex safety and security challenges, ensuring our clients can protect what matters most. For over 80 years, we have helped mitigate risks that threaten lives, property and reputations. Through technology, expertise and industry-leading research, we remain dedicated to our purpose of making our world safe, secure and resilient.At Jensen Hughes, we believe that creating and sustaining a culture of trust, integrity and professional growth starts with putting our people first. Our employees are our greatest strength, and we value the unique perspectives and talents they bring to our organization. Our wide range of Global Employee Networks connect people from across the organization, supporting career development and providing forums for individuals to share experiences on topics they're passionate about. Together, we are cultivating a connected culture where everyone has the opportunity to learn, grow and succeed together.Job OverviewWe 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.Responsibilities:Apply statistical techniques (regression, distribution analysis, hypothesis testing) to derive insights from data and create advanced algorithms and statistical models such simulation, scenario analysis, and clusteringExplain complex models (e.g., RandomForest, XGBoost, Prophet, SARIMA) in an accessible way to stakeholdersVisualize and present data using tools such as Power BI, ggplot, and matplotlibExplore internal datasets to extract meaningful business insights and communicate results effectively and write efficient, reusable code for data improvement, manipulation, and analysisManage project codebase using Git or equivalent version control systemsDesign scalable dashboards and analytical tools for central useBuild strong collaborative relationships with stakeholders across departments to drive data-informed decision-making while also helping in the identification of opportunities for leveraging data to generate business insightsEnable quick prototype creation for analytical solutions and develop predictive models and machine learning algorithms to analyze large datasets and identify trendsCommunicate analytical findings in clear, actionable terms for non-technical audiencesMine and analyze data to improve forecasting accuracy, optimize marketing techniques, and informed business strategies, developing and managing tools and processes for monitoring model performance and data accuracyWork cross-functionally to implement and evaluate model outcomesRequirements and Qualifications:Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or related technical field3+ years of relevant experience in data science and analytics and adept in building and deploying time series modelsFamiliarity with project management tools such as Jira along with experience in cloud platforms and services such as DataBricks or AWSProficiency with version control systems such as BitBucket and Python programmingExperience with big data frameworks such as PySpark along 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 miningCompetence in SQL and relational databases along with experience using visualization tools such as Power BIStrong communication and collaboration skills, with the ability to explain complex concepts to non-technical audiencesPlease note that the salary range provided is a good faith estimate for the position at the time of posting and not a guarantee of compensation. Final compensation may vary based on factors, including but not limited to, responsibilities of the job, education, experience, knowledge, skills, and abilities, geographic location, internal equity, alignment with market data.Jensen Hughes offers a competitive total rewards package, which includes a retirement plan, healthcare coverage, and a broad range o