Data Scientist

WEKA is architecting a new approach to the enterprise data stack built for the AI era. The WEKA® Data Platform sets the standard for AI infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that make GPUs, AI, and other performance-intensive workloads run faster, work more efficiently, and consume less energy. WEKA is a pre-IPO, growth-stage company on a hyper-growth trajectory. We’ve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the world’s most innovative enterprises and research organizations, including 12 of the Fortune 50, reach discoveries, insights, and outcomes faster and more sustainably. We’re passionate about helping our customers overcome complex data challenges to accelerate their innovation and help grow their businesses. If you share our passion, we invite you to join us on this exciting journey.

What’s Cool About This Job

Weka is looking for a strong Customer Success Data Scientist to find the stories buried in our data. As a Data Scientist in the Customer Success Department, you will leverage your analytical skills and expertise in data science to support and optimize our Technical Support, Premium Services, Professional Services, and Customer Success Management teams. Your work will directly impact customer satisfaction, retention, and overall success by providing actionable insights, predictive models, and strategic recommendations.

Responsibilities include: 

• Offer precise, proactive, and detail-oriented insights into account statuses.
• Analyze customer data to identify trends, patterns, and key metrics that influence customer satisfaction and success.
• Develop predictive models to anticipate customer needs, potential issues, and opportunities for upselling or cross-selling.
• Conduct deep-dive analysis to understand customer behavior, product usage, and pain points.
• Create and maintain dashboards and reports to track key performance indicators (KPIs) for the Customer Success teams.
• Present findings and recommendations to stakeholders in a clear and actionable manner.
• Collaborate with cross-functional teams, including Product, Engineering, and Sales, to drive customer-centric initiatives.
• Collaborate with our BI team to improve our analytics infrastructure and data quality.
• Focus on analyzing customer journeys and touchpoints.
• Identifies pain points and opportunities for improving the customer experience.
• Works with the customer success team to implement data-driven improvements.

Desired Qualifications

• Bachelor’s degree in Business, Communications, Information Systems, Data Science or a related field
• 5-10 years of proven experience in similar positions.
• Analytical Skills: Proficient in analyzing metrics to identify trends, correlations, and opportunities for optimizing customer success strategies and driving positive outcomes.
• Advanced reporting skills with the ability to communicate operational data effectively to cross-functional internal stakeholders, informing decision-making and driving alignment.
• Familiarity in SQL for data querying and manipulation, with experience in Salesforce reports.
• Ability to work independently and as part of a team in a fast-paced environment
• A customer-centric mindset with a passion for helping others and ensuring customer satisfaction
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Proficiency in programming languages such as Python or R.
• Knowledge of machine learning algorithms and statistical analysis.

Concerned you don’t meet every qualification? Don’t let it stop you from applying!
WEKA is committed to building a diverse, inclusive, and authentic workplace. If you are excited about this position but don’t meet every qualification in the job description, we encourage you to apply anyway – you may just be the right candidate for this or other positions at WEKA. WEKA is an equal-opportunity employer that prohibits discrimination and harassment of any kind. We provide equal opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.