1763 IT & Software Developer jobs in the US

BMO Financial jobs

Data Scientist with Python and R

$67,200 - 124,200
BMO Financial
College Street 320, Toronto
$67,200 - 124,200
Company Size icon
Company Size
5k+
Company Type icon
Company Type
Services
Exp Level icon
Exp Level
Regular
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Proficiency in deep learning techniques - Knowledge of machine learning principles - Understanding of trust, bias, and ethics in data - Creative and innovative problem-solving skills - Strong critical thinking abilities - Intermediate expertise in mathematics, statistics, and operations research - Familiarity with big data technologies - Skills in data visualization - Competence in computational thinking and programming - Experience in data wrangling and preprocessing - Ability to solve complex problems - Strong analytical and reasoning skills - Effective verbal and written communication skills - Team collaboration and interpersonal skills - Proven analytical and problem-solving capabilities - Skills in influencing data-driven decision-making - Typically requires 4 to 6 years of relevant experience along with a post-secondary degree in a related field or equivalent experience - Technical proficiency derived from educational and professional experience

Technologies

AI
Big Data
Machine Learning

Responsibilities

- Utilize advanced analytical algorithms to analyze large sets of structured and unstructured data for insights - Design and build processes for data modeling - Develop predictive models leveraging big data technology for improved decision-making and customer experience - Collaborate with analytics teams to enhance and scale solutions - Contribute to innovative data strategies to identify consumer trends for business resolution - Extract useful data from sources to evaluate AI/ML solution feasibility - Conduct extensive analysis to reveal patterns and trends by integrating various modules and algorithms - Provide strategic recommendations to business leaders to ensure market competitiveness - Investigate new technologies for developing pioneering data solutions - Work closely with product teams to support data-informed decision-making and future planning - Execute independent resolution of complex tasks including unique situations - Take calculated risks while adhering to our Risk Management Framework

Description


At BMO Financial Group, we are committed to creating meaningful change in business and life. We foster an inclusive and equitable workplace where every voice is valued and heard. Our team encourages growth and supports you with the necessary resources to achieve your professional goals. We offer a comprehensive compensation package, including performance-based incentives, health insurance, tuition reimbursement, and retirement savings plans. Our commitment to diversity enriches our perspectives and strengthens our community. We invite individuals to explore opportunities with us and contribute to our mission of promoting positive growth.
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You can find Data Engineer salaries in the United States here.

How many Data Engineer jobs are in the United States?

Currently, there are 1763 Data openings. Check also: Spark jobs, Snowflake jobs, Kafka jobs, Hadoop jobs - all with salary brackets.

Is the US a good place for Data Engineers?

The US is one of the best countries to work as a Data Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.

Which companies are hiring for Data Engineer jobs in the United States?

micro1, Consultation Devpresso Inc, JANSON, Arrowhead Regional Computing Consortium, Roughneck Systems, Inc., Business Network Consulting, Ltd., ConsultADD Inc among others, are currently hiring for Data roles in the United States.

The company with most openings is Jobot as they are hiring for 138 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.