Posted:1 day ago|
Platform:
On-site
Full Time
Flexera saves customers billions of dollars in wasted technology spend. A pioneer in Hybrid ITAM and FinOps, Flexera provides award-winning, data-oriented SaaS solutions for technology value optimization (TVO), enabling IT, finance, procurement and cloud teams to gain deep insights into cost optimization, compliance and risks for each business service. Flexera One solutions are built on a set of definitive customer, supplier and industry data, powered by our Technology Intelligence Platform, that enables organizations to visualize their Enterprise Technology Blueprint in hybrid environments-from on-premises to SaaS to containers to cloud.
We're transforming the software industry. We're Flexera. Withmore than 50,000 customersacross the world, were achievingthat goal.Butwe knowwe can't do any of that without our team.Ready to help us re-imagine the industry during a time of substantial growth and ambitious plans Come and see whywe're consistently recognized by Gartner, Forrester and IDCas a category leader in the marketplace.Learn more atflexera.com
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
Flexera 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.
Flexera understands the value that results from employing a diverse, equitable, and inclusive workforce. We recognize that equity necessitates acknowledging past exclusion and that inclusion requires intentional effort. Our DEI(Diversity, Equity, and Inclusion)council is the driving force behind our commitment to championing policies and practices that foster a welcoming environment for all.
We encourage candidates requiring accommodations to please let us know by emailing.
Flexera
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