atlassian
💼 Senior Data Scientist – GTM Analytics
📍 Locations: San Francisco, Austin, Mountain View, New York, Washington DC, or Remote
🕒 Employment Type: Full-Time
🔍 Company Overview
At Atlassian, we are driven by a single goal: to unleash the potential of every team. Our software products help teams around the world collaborate and achieve more, making what may seem impossible, possible. We are committed to diversity, inclusion, and offering flexible working environments to suit the unique needs of every Atlassian. Join our global team and contribute to shaping the future of teamwork.
🧑💼 Position Overview
As a Senior Data Scientist in the Go-To-Market (GTM) Analytics team, you will partner with key stakeholders across product, marketing, and sales to forecast future business cycles and provide data-driven strategies. Your role will be instrumental in solving complex business problems by applying technical expertise in quantitative analysis and time-series forecasting.
🔧 Responsibilities
- Collaborate with cross-functional teams to solve business problems and provide clarity on complex product and business challenges.
- Develop forecasts and strategies based on quantitative analysis and time-series forecasting.
- Use your technical skills to apply statistical models and machine learning techniques to optimize business operations and strategies.
- Measure and monitor product metrics to assess trends and guide decision-making.
- Become a trusted strategic partner by delivering clear and actionable insights to business leaders.
📌 Key Qualifications
- Bachelor’s degree or equivalent in a STEM field (e.g., statistics, mathematics, computer science, data science).
- 4+ years of experience in Data Science or a related field.
- Expertise in SQL and proficiency in another data manipulation language (e.g., Python, R, Scala).
- Strong skills in Microsoft Excel and Google Sheets.
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
- Solid understanding of statistical concepts (e.g., regression, clustering, probability).
- Experience building machine learning models, particularly in supervised learning techniques (e.g., Naive Bayes, SVM, Regression).
- Ability to communicate complex analysis clearly and effectively.
💡 Nice-to-Have Skills
- Experience with Jupyter Notebook or Databricks.
- Experience in sales data forecasting and pipeline modeling.
- Proficiency in time-series analysis tools like FB Prophet or LSTM.
- Understanding of SaaS business models and key metrics.
💰 Compensation
Base Pay (per geographic zone):
- Zone A: $149,000 – $198,700
- Zone B: $134,100 – $178,800
- Zone C: $123,700 – $164,900
This role is also eligible for benefits, bonuses, commissions, and equity. For more information on pay zones, please visit Atlassian Pay Zones.
🌟 Perks & Benefits
At Atlassian, we offer a variety of perks to support your personal and professional growth, including:
- Health coverage and wellness resources.
- Paid volunteer days to give back to the community.
- Comprehensive benefits packages tailored to your needs. Visit Atlassian Perks & Benefits for more details.
💼 Equal Opportunity Employer
At Atlassian, we believe in fostering a diverse and inclusive environment where every voice is valued. We do not discriminate based on race, religion, gender identity, sexual orientation, disability, or any other protected status. All your information will be kept confidential according to EEO guidelines.
📢 Apply Now
Ready to take on the challenge? Apply now to become part of a team that’s helping shape the future of teamwork!
