We are Progress (Nasdaq: PRGS) - a trusted provider of software that enables our customers to develop, deploy and manage responsible, AI powered applications and experiences with agility and ease. We’re proud to have a diverse, global team where we value the individual and enrich our culture by considering varied perspectives because we believe people power progress. Join us as a Principal Data Scientist and help us do what we do best: propelling business forward.We are seeking a highly motivated and experienced Lead Data Scientist to spearhead our Security Analytics initiatives in ShareFile. The ideal candidate will have a strong foundation in statistical modeling, machine learning, and data mining techniques, Generative AI coupled with excellent leadership and communication skills. You will play a crucial role in driving innovation, developing cutting-edge solutions, and mentoring the team.In this role, you will work on: Model Development and Deployment:
Design, develop, and deploy sophisticated machine learning models to solve complex business problems.
Utilize advanced statistical modeling, data mining, and machine learning techniques to analyze large datasets.
Build and maintain robust data pipelines for data ingestion, processing, and feature engineering.
Deploy models into production environments and monitor their performance.
Data Analysis & Interpretation:
Conduct exploratory data analysis to uncover patterns, trends, and insights from data.
Communicate complex technical findings to both technical and non-technical audiences.
Prepare reports and presentations to effectively convey data-driven insights.
Collaboration & Strategy:
Collaborate closely with stakeholders to define and prioritize key business problems that can be addressed through data science and make sure features are delivered on time with high quality standards.
Stay abreast of industry trends and emerging technologies in the field of data science.
Foster a collaborative and innovative work environment within the team.
Collaborate effectively with cross-functional teams, including engineering, product, and business stakeholders.
Your background:
7+ years of hands-on experience in a data science role
Bachelor’s or master’s degree in computer science or equivalent experience in related field(s)
Strong proficiency in Python.
Expertise in machine learning algorithms (e.g., regression, classification, clustering, deep learning).
Familiarity with cloud computing platforms - AWS
Excellent data visualization and communication skills.
Working knowledge of all aspects of software development lifecycle
Good communication skills (both verbal and written)
If this sounds like you and fits your experience and career goals, we’d be happy to chat. What we offer in return is the opportunity to experience a great company culture with wonderful colleagues to learn from and collaborate with and also to enjoy: Compensation
Generous remuneration package
Employee Stock Purchase Plan Enrollment
Vacation, Family, and Health
30 days of earned leave
An extra day off for your birthday
Various other leaves like marriage leave, casual leave, maternity, and paternity leave
Premium Group Medical Insurance for employees and five dependents, personal accident insurance coverage, life insurance coverage
Professional development reimbursement
Interest subsidy on loans - either vehicle or personal loans
