Data Scientist
--Kloudlyn--
The Data Scientist will play a critical role in developing and deploying machine learning models, analyzing complex datasets, and generating actionable insights to enhance our AI products. This role requires a blend of statistical expertise, programming skills, and domain knowledge to solve challenging problems in a dynamic startup environment. You will collaborate with engineering, product, and research teams to build scalable AI solutions that deliver value to our customers.
Responsibilities
- Model Development: Design, develop, and deploy machine learning models and algorithms to support AI-driven products and features.
- Data Analysis: Analyze large, complex datasets to uncover trends, patterns, and insights that inform product development and business strategy.
- Data Pipeline Development: Build and optimize data pipelines to ensure efficient data collection, preprocessing, and integration for model training and deployment.
- Experimentation: Conduct experiments to test hypotheses, validate models, and improve performance through iterative refinements.
- Collaboration: Work closely with cross-functional teams, including software engineers and product managers, to integrate models into production systems.
- Feature Engineering: Identify and create relevant features from raw data to enhance model accuracy and performance.
- Model Evaluation: Evaluate model performance using appropriate metrics and techniques, ensuring robustness and reliability in real-world applications.
- Research & Innovation: Stay current with the latest advancements in machine learning, AI, and data science, applying cutting-edge techniques to solve business problems.
- Documentation: Document methodologies, experiments, and findings to ensure reproducibility and knowledge sharing within the team.
Must Have
- Education: Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field. Bachelor’s degree with exceptional experience considered.
- Experience: 3+ years of experience in data science, with a focus on machine learning, statistical modeling, or AI development.
- Proficiency in programming languages such as Python or R, and libraries like TensorFlow, PyTorch, scikit-learn, or pandas.
- Strong understanding of machine learning algorithms (e.g., regression, classification, clustering, deep learning).
- Experience with data manipulation and analysis tools (e.g., SQL, NumPy, Pandas).
- Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud, Azure).
- Excellent problem-solving skills and ability to translate business requirements into technical solutions.
- Strong communication skills to explain complex technical concepts to non-technical stakeholders.
Nice to have
- Experience deploying models in production environments.
- Knowledge of AI domains such as NLP, computer vision, or reinforcement learning.
- Familiarity with MLOps practices and tools (e.g., MLflow, Kubeflow).
- Contributions to open-source projects or publications in relevant fields.
What's great in the job?
- Join a mission-driven AI startup at the forefront of technological innovation.
- Work in a collaborative, fast-paced environment with opportunities to shape the future of AI.
- Competitive salary, equity options, and comprehensive benefits package.
- Flexible work arrangements, including remote work options.
Our Product
What We Offer
Each employee has a chance to see the impact of his work.
You can make a real contribution to the success of the company.
Several activities are often organized all over the year, such as weekly
sports sessions, team building events, monthly drink, and much more
Perks
A full-time position
Attractive salary package.
Trainings
12 days / year, including
6 of your choice.
Sport Activity
Play any sport with colleagues,
the bill is covered.
Eat & Drink
Fruit, coffee and
snacks provided.
