Data Scientist

We are seeking a highly skilled Data Scientist with expertise in statistical modeling, machine learning, and coding, who can translate complex data into actionable business insights. In this role, you will work cross-functionally with product, marketing, and business teams to drive data-driven decision-making. The ideal candidate has a strong technical foundation, analytical mindset, and a passion for solving real-world business problems.

Key Responsibilities

• Develop, test, and implement predictive models and machine learning algorithms to solve business challenges.
• Analyze large datasets to identify trends, patterns, and insights that inform strategic decisions.
• Write efficient, scalable code for data analysis, model development, and automation using Python, R, SQL, or similar tools.
• Design and execute experiments (A/B testing, causal inference, etc.) to measure the impact of business initiatives.
• Collaborate with stakeholders to translate business questions into data science problems and communicate findings effectively.
• Build and maintain data pipelines and ETL processes to ensure data quality and availability.
• Present data-driven recommendations to executives and cross-functional teams in a clear and actionable manner.
• Stay updated on the latest advancements in data science, machine learning, and AI.
  
  

Qualifications

• Master’s or Ph.D. in Data Science, Computer Science, Statistics, Economics, or a related field.
• 3 years of experience in data science, analytics, or a similar role.
• Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) or R for modeling and analysis.
• Solid experience with SQL for querying and managing structured data.
• Knowledge of machine learning, statistical modeling, and optimization techniques.
• Experience working with cloud platforms (AWS, GCP, Azure) and big data technologies.
• Ability to communicate complex findings to non-technical stakeholders in a clear, concise manner.
• Experience with data visualization tools (Tableau, Power BI, Matplotlib, Seaborn).
• Familiarity with business intelligence, marketing analytics, or financial forecasting is a plus.
  
  

Preferred Skills

• Experience in causal inference, econometrics, or Bayesian methods.
• Hands-on experience with ML Ops, model deployment, or data engineering workflows.
• Understanding of business metrics, growth strategies, and financial modeling.
• Ability to work in a fast-paced, cross-functional environment.
  
  

Why You’ll Like Working for DigitalOcean

• We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
• We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000 courses to support their continued growth and development.
• We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
• We reward our employees. The salary range for this position is $165,000 - $195,000 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
• We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
• This is a remote role