Senior Data Scientist

We are seeking a motivated and analytical Data Scientist to develop machine learning models and advanced analytics solutions that drive business value across the organization. In this role, you'll partner with cross-functional teams to solve complex business problems, uncover actionable insights, and transform data into scalable, data-driven solutions.

What You Will Do

Develop and deploy machine learning models and predictive analytics solutions, build custom data models and algorithms to solve complex business problems, apply statistical techniques and advanced analytics to generate actionable insights, and use data exploration techniques to identify trends and uncover new opportunities.

Why It Might Be a Fit

The ideal candidate has a strong foundation in statistics, machine learning, and programming, along with a passion for solving real-world challenges through data. If you enjoy working with large, complex datasets and collaborating to deliver innovative solutions, we'd love to hear from you.

Requirements

• Bachelor’s degree in computer science, Data Science, Analytics, Statistics, Business, Information Science, or a related field
• 5+ years of experience in data science, analytics, machine learning, or a related discipline
• Strong problem-solving skills with the ability to apply quantitative and qualitative analytical methods
• Proficiency in Python, R, SQL, PySpark, or similar programming languages used for data analysis
• Knowledge of machine learning techniques, including clustering, decision trees, random forests, logistic regression, linear regression, gradient boosted trees, and naïve Bayes classifiers
• Understanding of big data architectures, distributed computing concepts, and large-scale data processing
• Experience working with relational databases and large, complex datasets
• Strong communication skills with the ability to present analytical findings to technical and non-technical stakeholders
• Experience with Spark MLlib and strong software development skills
• Basic understanding of unstructured data analysis
• Experience with data visualization tools such as Tableau, Power BI, or Qlik

Benefits

• Tuition reimbursement
• Medical, dental, and vision insurance
• Prescription drug coverage
• 401(k) retirement plan
• Short-term disability insurance
• 8 weeks paid birthing leave
• 2 weeks paid bonding leave
• Life and long-term disability insurance
• 12 days paid time off
• 2 paid well-being days
• 1 paid volunteer day
• 12 paid holidays
• 3 floating holidays per year