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Senior Data Science / Machine Learning Engineer - Jersey City

Company: Local Staffing
Location: Jersey City
Posted on: November 22, 2021

Job Description:

JOB DESCRIPTION ---As an experienced member of our Software Engineering Group, we look first and foremost for people who are passionate around solving business problems through innovation and engineering practices. You'll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We embrace a culture of experimentation and constantly strive for improvement and learning. You'll work in a collaborative, trusting, thought-provoking environment-one that encourages diversity of thought and creative solutions that are in the best interests of our customers globally. We are seeking a Senior Data Science Engineer with strong analytical and statistical skills to use advanced analytics and modeling / machine learning skills to lead the GIAM Data Science Function and transform traditional access management practices by leveraging data science. The candidate will need a combination of business focus, strong analytical and problem solving skills and programming knowledge to be able to cycle through data, propose and implement a new solution. In this role, you will have an excellent career path and numerous opportunities for both personal and professional development in an intellectually stimulating environment. Responsibilities include: Collaborate across Identity and Access Management, as well as other data science groups, to deliver data driven insights, recommendations, and solutions that solve important business problems Lead Data Science Initiatives and drive the research and development of high quality machine learning models and services to deliver these insights and solutions Manage the relationship with internal clients, gathering requirements, understanding business domain, presenting results, and developing a trusted adviser relationship Operate across a wide range of ML approaches, including unsupervised, supervised, and reinforcement learning, for tasks including natural language processing (NLP), data anomaly detection, classification, graph analysis, pattern detection, leveraging methods including tree ensembles, neural networks, and clustering techniques Provide thought leadership, subject matter expertise and serve as trusted advisor in the analytics discipline Manage full lifecycle of data science projects and solutions - including ideation, data acquisition / exploration/ engineering, prototyping, and productionization Partner with the Identity and Access Management Data Platform team on in the creation of capabilities which accelerate data science delivery Work independently and collaboratively (as needed) within the team to achieve the desired outcomes of an data science efforts This role requires a wide variety of strengths and capabilities, including: BS/BA degree or equivalent experience Expertise in application, data, and infrastructure architecture disciplines Advanced knowledge of architecture and design across all systems Proficiency in multiple modern programming languages Knowledge of industry-wide technology trends and best practices Keen understanding of financial control and budget management Ability to work in large, collaborative teams to achieve organizational goals Passionate about building an innovative culture M.S. or Ph.D. in Statistics, Engineering, Computer Science, Mathematics, Economics or related quantitative field preferred Extensive hands on experience in data mining, machine learning, predictive modeling in a large-scale, corporate environment Solid coding skills in Python and SQL required; experience with R, SAS, Splunk or other equivalent languages in different environments preferred Deep knowledge in Machine Learning, Data Mining, Information Retrieval Major machine learning frameworks, including Anaconda and Tensorflow Excellent analytical and critical thinking skills Self-starter with great skills in teamwork, partnership, and communications both verbal and written Experience delivering Data Science capabilities on a cloud platform (ex: AWS, Azure, Google) Knowledge of Identity and Access Domain is a plus ABOUT US JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs. The health and safety of our colleagues, candidates, clients and communities has been a top priority in light of the COVID-19 pandemic. JPMorgan Chase was awarded the "WELL Health-Safety Rating" for all of our 6,200 locations globally based on our operational policies, maintenance protocols, stakeholder engagement and emergency plans to address a post-COVID-19 environment. As a part of our commitment to health and safety, we have implemented various COVID-related health and safety requirements for our workforce. These requirements may include sharing information in the firm's vaccine record tool, vaccination or regular testing, mask wearing, social distancing and daily health checks. Requirements may change in the future with the evolving public health landscape. JPMorgan Chase will consider accommodation requests. Equal Opportunity Employer/Disability/Veterans ABOUT THE TEAM The Cybersecurity & Technology Controls group at JPMorgan Chase aligns the firm's cybersecurity, access management, controls and resiliency teams. The group proactively and strategically partners with all lines of business and functions to enable them to design, adopt and integrate appropriate controls; deliver processes and solutions efficiently and consistently; and drive automation of controls. The group's number one priority is to enable the business by keeping the firm safe, stable and resilient. High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.

Keywords: Local Staffing, Jersey City , Senior Data Science / Machine Learning Engineer - Jersey City, Engineering , Jersey City, New Jersey

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