Data Scientist (Financial Analytics)

TL;DR

Data Scientist (Financial Analytics): Developing predictive models and generating insights to support strategic decision-making with an accent on revenue forecasting and financial analytics. Focus on building time series models, optimizing forecasting accuracy, and designing scalable analytical tools for global operations.

Location: Remote - Must be based in the United States

Salary: $94,800 – $142,200 USD

Company

hirify.global is a global leader in fire protection engineering and risk-based security consulting, dedicated to making the world safe, secure, and resilient.

What you will do

• Apply statistical techniques (regression, distribution analysis, hypothesis testing) to create advanced algorithms and models.
• Develop and explain complex models such as RandomForest, XGBoost, Prophet, and SARIMA to stakeholders.
• Visualize data and design scalable dashboards using Power BI, ggplot, and matplotlib.
• Build predictive models and ML algorithms to analyze large datasets and identify trends.
• Mine and analyze data to improve forecasting accuracy and optimize business strategies.
• Collaborate cross-functionally to implement and evaluate model outcomes.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or Engineering.
• 3+ years of experience in data science and analytics.
• Proficiency in Python, SQL, and big data frameworks like PySpark.
• Expertise in building and deploying time series models.
• Experience with cloud platforms (AWS, DataBricks) and version control (Git/BitBucket).
• Knowledge of ML libraries including scikit-learn, statsmodels, prophet, and mlflow.

Culture & Benefits

• Competitive total rewards package including a retirement plan and healthcare coverage.
• Supportive and diverse team environment focused on professional growth.
• Access to Global Employee Networks for career development and knowledge sharing.
• Flexible remote work arrangement within the US.