Data Scientist developing AI agents and advanced analytics solutions for Ciena. Focused on machine learning, generative AI, and delivering business value through intelligent data - driven tools.
LP
Data Scientist – Python/SAS/SQL & AI/ML Solutions
Posted via LinkedIn Recruiter (not a company profile)
Posted last month
About the role
- Data Scientist role developing predictive models and AI/ML solutions for financial insights. Requires Python/SAS/SQL expertise and collaboration with investment distribution teams.
Responsibilities
- Develop and refine predictive models using machine learning algorithms to inform sales and distribution strategies. Collaborate with data engineers to establish data pipelines and analytics tables. Mine large, complex datasets—including structured and unstructured data—to identify patterns, trends, and actionable insights. Design and implement new processes for data modeling and analysis. Create dashboards and visualizations to communicate insights effectively to business stakeholders. Assess the feasibility of AI/ML solutions and explore innovative data technologies. Provide recommendations and strategic insights to senior leadership to enhance market competitiveness. Work closely with investment distribution teams to deploy analytics solutions that support sales objectives. Communicate complex technical concepts in clear, accessible language. Anticipate data trends and adapt strategies accordingly. Foster collaboration across internal teams and external partners to achieve project goals. Manage ambiguity and prioritize tasks effectively in a fast-paced environment.
Requirements
- 4+ years of experience or relevant certifications in analytics, data science, or related fields. Strong proficiency in SQL and experience with Python, R, or SAS. Demonstrated expertise in data visualization tools such as PowerBI or similar. Proven ability to design and develop machine learning models and predictive algorithms. Excellent verbal and written communication skills. Strong team collaboration skills with the ability to work cross-functionally. Ability to navigate ambiguous situations and manage multiple priorities. Data-driven decision-making mindset. Nice to Have: Experience within the investment industry or financial sales sectors. Prior banking or financial services experience. Professional certification such as CFA or an advanced degree in a relevant field.
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
Report this job
Found something wrong with the page? Please let us know by submitting a report below.
LP
Senior Data Management Associate
LinkedIn Recruiter Post
Senior Data Management Associate role in Toronto driving data quality and governance in investment systems. 9 - month hybrid contract at $80 - 85/hr.
Data Scientist driving detection and mitigation of fraud across audio verticals on our platform. Collaborating with data scientists and ML engineers to ensure fair engagement and accuracy for users and creators.
Senior Marketing Data Scientist for Mozilla providing analytical support to marketing team's investment decisions. Measuring marketing performance and uncovering insights to enhance impact.
Senior Data Scientist developing advanced machine learning models and managing data science services. Working in a hybrid environment to address client needs and optimize business functions.
Data Science Specialist at Nasdaq analyzing financial crime data for insights. Collaborating with teams to create impactful reports and presentations for fraud detection solutions.
Data Scientist at Dropbox partnering with product, engineering, and design teams for analytics and business growth. Focusing on revenue growth, product optimization, and launching high - impact initiatives.
Senior Data Science Manager driving data science projects and mentoring teams for AI product development at Dropbox. Collaborating cross - functionally to influence product strategies and analyze impactful data - driven insights.
Data Science Manager at Instacart leading a data science team to optimize consumer app experiences. Focusing on analytics and experimentation across critical shopper surfaces.
Clinical Data Manager overseeing comprehensive data management activities in clinical trials. Ensuring regulatory compliance and data quality while collaborating with clients and teams.