Senior Data Scientist
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Job Location:
Monthly Salary:
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Revenera helps product executives build better products accelerate time to value and monetize what matters. Reveneras 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 experiencefor 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 engineeringto 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 .
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
