Senior Data Scientist developing advanced analytical solutions to enhance customer data transformation at CI&T. Collaborating on strategic projects requiring strong analytical skills and cloud experience.
About the role
- Lead Data Scientist responsible for scalable AI/ML models and application backends at Cloudflare. Collaborate with teams to deliver features and operate data platforms in a hybrid environment.
Responsibilities
- Partner and align with business leaders, stakeholders, product managers and internal teams to understand the business and product challenges and goals and address them using predictive analytics in a globally distributed environment.
- Understand data landscape i.e tooling, tech stack, source systems etc. and work closely with the data engineering team to improve the data collection and quality.
- Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals.
- Strong audience focused presentation and storytelling skills focused on key takeaways in a crisp and concise manner.
- Define, implement, and train statistical, machine learning, deep learning and generative AI models.
- Use software engineering best practices to publish model scores/insights/learnings at scale within the company.
- Ability to define and spot macro and micro levels trends with statistical significance on a regular basis and understand key drivers driving those trends.
- Active role in hiring, growing, and mentoring the data scientist team in Austin.
Requirements
- M.S or Ph.D in Computer Science, Statistics, Mathematics, or other quantitative fields.
- 5+ years of data scientist experience with proven industry experience in a large scale environment (PBs scale & globally distributed teams)
- Strong experience working with business functions such as Finance, Sales, and Marketing to build models and drive impactful business outcomes (eg: customer and revenue growth)
- 2+ years experience with a fast-growing SaaS business based company is preferred.
- Strong experience in scientific computing using Python.
- Experience with Spark, SQL, Tableau, Google Analytics, BigQuery (or any other Big data/Cloud equivalent) etc.
- Strong cross-functional collaboration experience with data engineering and data analysts teams within the function.
- Proven track record of applying data insights and machine learning in order to address business needs and drive revenue.
- Proficiency in large language models and the frameworks (Langchain, Langgraph, etc.) necessary for implementing GenAI applications, such as AI Agents, chatbots and related use cases.
- Experience in hiring data scientists and establishing team best practices is preferred.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Scientist developing predictive models for vehicle budgeting solutions at Cilia Tecnologia. Collaborating with engineering team to implement models and monitor production performance.
Data Science Intern joining Seagate's Product Development Group to leverage AI and ML technologies. Gaining hands - on experience in data analysis and model development on real - world projects.
Staff Data Scientist at Pagaleve developing advanced ML models for credit and fraud solutions. Lead technical expertise in a fintech setting, bridging data science and engineering teams.
Intern supporting the development of AI applications and models for vehicle distribution. Collaborating with an agile product team at BMW in Munich.
Senior Enterprise Solutions Technical Lead at City of Toronto overseeing BI & Data services. Leading a team in data management and analytics aligned with organizational goals.
Data Scientist at Kpler enhancing Gas and Power teams to aggregate data for future forecasts. Collaborating with engineers and product teams for model deployment and performance enhancement.
Manage Data Science functions and mentor teams at Satori Analytics. Oversee AI delivery and design scalable ML architectures.
Data Scientist developing ML models and analyzing various data sources at Taikonauten GmbH. Contributing to user - centered product and project development in R&D team.
Lead AI and Data Scientist shaping impactful AI solutions in Madrid's EMEA Digital Innovation Hub. Collaborating globally to apply advanced machine learning techniques and foster innovation.