Data Scientist
Remote - United States
Company Overview
Throughout 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 Overview
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.
Responsibilities:
Apply statistical techniques (regression, distribution analysis, hypothesis testing) toderive insights from data and create advanced algorithms and statistical modelssuch simulation, scenario analysis, and clustering
Explain complex models (e.g., RandomForest, XGBoost, Prophet, SARIMA) in anaccessible 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 communicateresults effectively and 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 todrive data-informed decision-making while also helping in the identification ofopportunities for leveraging data to generate business insights
Enable quick proto@type creation for analytical solutions and develop predictivemodels and machine learning algorithms to analyze large datasets and identifytrends
Communicate analytical findings in clear, actionable terms for non-technicalaudiences
Mine and analyze data to improve forecasting accuracy, optimize marketingtechniques, and informed business strategies, developing and managing tools andprocesses for monitoring model performance and data accuracy
Work cross-functionally to implement and evaluate model outcomes
Requirements and 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 buildingand deploying time series models
Familiarity with project management tools such as Jira along with experience incloud platforms and services such as DataBricks or AWS
Proficiency with version control systems such as BitBucket and Pythonprogramming
Experience with big data frameworks such as PySpark along strong knowledge ofdata 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 usingvisualization tools such as Power BI
Strong communication and collaboration skills, with the ability to explain complexconcepts to non-technical audiences
LI-KV1
Please 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 of other benefits. Incentives and/or benefit packages may vary depending on the position and location.
National Pay Range
$94,800-$142,200USD
Jensen Hughes is an Equal Opportunity Employer. Qualified candidates will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
At Jensen Hughes, we embrace innovation and understand that people are increasingly using artificial intelligence (AI) tools like ChatGPT and other generative platforms to learn, prepare and communicate. We have provided some guidelines regarding the responsible use of AI in the recruitment process. Please click here (https://www.jensenhughes.com/careers/responsible-use-of-ai-in-the-jensen-hughes-recruitment-process) to review.
The security of your personal data is important to us. Jensen Hughes has implemented reasonable physical, technical, and administrative security standards to protect personal data from loss, misuse, alteration, or destruction. We protect your personal data against unauthorized access, use, or disclosure, using security technologies and procedures, such as encryption and limited access. Only authorized individuals may access your personal data for the purpose for which it was collected, and these individuals receive training about the importance of protecting personal data. Jensen Hughes is committed to compliance with all relevant data privacy laws in all areas where we do business, including, but not limited to, the GDPR and the CCPA. Additionally, our service providers are contractually bound to maintain the confidentiality of personal data and may not use the information for any unauthorized purpose.
*Policy on use of 3rd party recruiting agency for direct placements
Jensen Hughes will occasionally augment a recruiting search through agencies for certain positions when business conditions warrant. Jensen Hughes will not accept resumes, inquiries or proposals from recruiting agencies as an acceptable method to consider a candidate. 3rd party recruiting agencies must sign a standard Jensen Hughes agreement after being evaluated and accepted by a Human Resources or Talent Acquisition manager, or member of the talent acquisition team. Hiring managers and employees of Jensen Hughes are not authorized to accept resumes, engage in fee-based searches through recruiting firms or sign a search agreement. Please note this policy does not apply to "staffing firms" or firms that are involved with hiring temporary staff. Any recruiting agency interested in being considered may contact our recruiting team at jensenhughesrecruiting.com.
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