Senior Data Scientist

At ControlUp, we've built a platform that shatters the barriers holding IT teams back, empowering them to focus on what really matters: delivering a seamless, optimized workspace that unleashes productivity across any desktop, any application, anywhere.
We are seeking an experienced Senior Data Scientist to drive the AI transformation of the company’s solutions and guide our team of engineers toward autonomous solutions.
If you are passionate about Machine Learning and AI, about solving complex technical challenges and delivering meaningful value to some of the largest companies on earth , we want to hear from you.
About the role:
Assume ownership of multiple AI/ML solutions and features research and deliver value to our customers
Conduct data discovery of big data sources to identify potential applications and address specific problems
Design, implement, and guide end-to-end machine learning pipelines
Think creatively about complex problems and deliver technological Innovation
What You'll Be Doing:
Statistical Analysis and Modeling: Apply statistical methods and mathematical models to identify patterns, trends, and relationships in data sets, and develop predictive models
Machine Learning: Develop and implement machine learning algorithms, such as classification, regression, clustering, with classic ML methods (SVM, knn, random forest, XGBoost, logistic regression, etc..) and deep learning, to solve business problems and improve processes
Feature Engineering: Extract relevant features from structured and unstructured data sources, and design and engineer new features to enhance model performance
Model Development and Evaluation: Build, train, and optimize machine learning models and evaluate model performance using appropriate metrics
Data Visualization: Present complex analysis results in a clear and concise manner using data visualization techniques, and communicate insights to stakeholders effectively
Collaborative Problem-Solving: Collaborate with cross-functional teams, including product managers, data engineers, software developers, and business stakeholders to identify data-driven solutions and implement them in production environments
Qualifications:
M.Sc. in Computer Science, Engineering, or Mathematics6+ years expertise driving multiple and scalable ML solutionsExperience in data science tools and libraries such as PyTorch/TensorFlow/KerasSolid foundation in statistical concepts and techniques, including hypothesis testing, regression analysis, time series analysis, and experimental designExperience in data visualization and data exploration to create meaningful representations of dataExperience working with Big data technologies such as Kafka/Spark/OpenSearch, Parquet/protobuf/Avro/Splunk/ELK stack.Good knowledge in GenAI tools such as LLM Orchestrations and integration packages, Agents, RAG systemsStrong communication and collaboration skillsDemonstrated ability to work effectively alone and in cross-functional teams, collaborate with colleagues, and contribute to a positive work environment
Advantages:
Experience in the IT domain
Strong analytical and critical thinking skills to approach business problems, formulate hypotheses, and translate them into actionable solutions
Experience with Azure Devops, PySpark, Docker and K8S