Senior Data Scientist en Flexerasoftware

Revenera helps product executives build better products, accelerate time to value and monetize what matters.  Revenera’s leading solutions help software and technology companies drive top line revenue with modern software monetization, understand usage and compliance with software usage analytics, empower the use of open source with software composition analysis and deliver an excellent user experience—for embedded, on premises, cloud, and SaaS products.

Job Summary:

We are seeking an accomplished and forward-thinking Data Scientist to join our Data

Intelligence team. The ideal candidate will drive the transformation of manual data curation

processes into automated, AI/ML-powered workflows, ensuring higher efficiency and accuracy in

how we manage and utilize data. This role involves collaborating with cross-functional teams—

including product managers, operations, and data engineering—to implement innovative solutions

that enhance data quality, reduce manual effort, and drive business value.

Key Responsibilities:

• Identify manual data curation and processing workflows, then design and implement AI/ML-

driven automation solutions to improve efficiency.

• Lead the end-to-end development of ML solutions for data cleaning, validation, and

standardization.

• Utilize statistical, machine learning, and deep learning techniques to solve complex data

intelligence challenges.

• Perform exploratory data analysis to uncover insights, refine model features, and guide

decision-making.

• Collaborate with data engineering teams to ensure robust and efficient data pipelines that

feed into AI/ML systems.

• Research and implement state-of-the-art methodologies in ML, deep learning, and related

fields.

• Oversee iterative experimentation, including A/B testing and model optimization.

• Mentor junior data scientists, reviewing code, models, and workflows for best practices.

• Communicate findings effectively to both technical and non-technical audiences.

• Champion AI/ML initiatives across the organization and identify new areas for innovation.

Required Skills and Qualifications:

• 5 years of hands-on experience in Data Science or Machine Learning roles, with a strong

focus on automating data-centric processes.

• Proficiency in Python or R and core data science libraries (e.g., NumPy, Pandas, scikit-learn).

• Expertise in at least one deep learning framework (e.g., TensorFlow, PyTorch, Keras).

• Strong foundation in statistics, mathematics, or related quantitative fields.

• Proven experience deploying ML models or automation solutions in cloud environments

(AWS, Azure, or GCP).

• Demonstrated success in reducing manual workload through ML-driven data curation or

process optimization.

• Familiarity with version control (Git) and CI/CD workflows in a data science context.

• Exceptional problem-solving and analytical skills.

• Effective communication skills for presenting complex insights to diverse stakeholders.

Preferred Qualifications:

• Experience with large-scale data processing frameworks (e.g., Spark) and distributed

computing.

• Familiarity with specialized domains like Natural Language Processing or Computer Vision.

• Knowledge of MLOps tools (MLflow, Databricks, Kubeflow) and best practices for continuous

model delivery.

• Background in experimentation methodologies, A/B testing, and performance evaluation.

• Experience in data governance, data lineage, or data stewardship best practices.

• Publications in AI/ML conferences or journals

Revenera is proud to be an equal opportunity employer.  Qualified applicants will be considered for open roles regardless of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by local/national laws, policies and/or regulations.  Regarding disability, we encourage candidates requiring accommodations to please let us know by emailing [email protected].