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Overnight Machine Learning R Jobs in New Jersey (NOW HIRING)

Prudential

Lead, Machine Learning Engineer

Newark, NJ

$107K - $141K/yr

Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL The ... Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression ...

SonSoft Inc.

Sr. Data Scientist

Newark, NJ · On-site

They are seeking a Senior Data Scientist with extensive experience in machine learning algorithms ... on R, Python, IBM SPSS • Excellent communication skills and ability to express the statistical ...

Mindlance

Data Scientist

Franklin Lakes, NJ · On-site

... R • Knowledge of building and applying machine learning or predictive modeling • Strong problem solving skills • Exceptional ability to communicate and present findings clearly to both ...

Valley Bank

Data Scientist Manager

Morristown, NJ · On-site

$164K - $171K/yr

Machine learning platforms (DataRobot); * SQL Server; and * Programming Languages R and Python. Salary: $164,050 to $171,900/year. Standard benefits package. Apply online

GMV

AI Innovation Leader

North Brunswick, NJ · On-site +1

R * BBDD SQL * Metodologias Agiles: SCRUM * Machine learning * Big Data Architectures * Java/Python WHAT DO WE OFFER? * Join our team and culture GMV by entering into technological and innovative ...

GMV

AI Software Engineer

North Brunswick, NJ · On-site +1

$58.75 - $77.75/hr

R * BBDD SQL * Metodologias Agiles: SCRUM * Machine learning * Big Data Architectures * Java/Python WHAT DO WE OFFER? * Join our team and culture GMV by entering into technological and innovative ...

GMV

Data Architect

North Brunswick, NJ · On-site +1

$67.25 - $86.50/hr

R * BBDD SQL * Metodologias Agiles: SCRUM * Machine learning * Big Data Architectures * Java/Python WHAT DO WE OFFER? * Join our team and culture GMV by entering into technological and innovative ...

Brillio

Principal Data Scientist - R01568403

Edison, NJ · On-site

$190K/yr

... and machine learning solutions Key Responsibilities: 1. Design and implement robust statistical ... and R, ensuring efficient data processing and feature engineering 5. Develop, validate, and ...

Nestle

Senior Data Scientist

Bridgewater, NJ · On-site

Hands-on programming experience in Python and R, leveraging advanced cognitive and machine learning methods to solve business challenges. * Experience working with relational database and cloud ...

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Lead, Machine Learning Engineer

Prudential Financial, Inc.

Newark, NJ • On-site

$107K - $141K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Prudential rating

8.7

Company rating: 8.7 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

71st of 310 rated insurance

Job description

Job Classification:
Technology - Data Analytics & Management
Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization at Prudential, you'll unlock an exciting and impactful career - all while growing your skills and advancing your profession at one of the world's leading financial services institutions.
As a Lead, Machine Learning Engineer, you will partner with Data Scientists, Data Engineers, Data Analysts and other professionals to implement machine learning models that will deliver stability, producibility, scalability and integration with other products and services. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to advanced technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do.
Here is what you can expect in a typical day:
  • Operationalize ML software models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams; remove complex technical impediments
  • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
  • Leverage cloud-based architectures and technologies to deliver optimized ML models at scale
  • Construct optimized data pipelines to feed ML models
  • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
  • Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day
  • Work on complex problems in which analysis of situations or data requires an evaluation of intangible variables.
  • Use programming languages including but not limited to Python, R, SQL, Java or Scala, SQL

The Skills and expertise you bring:
  • Bachelor of Computer Science or Engineering or experience in related fields
  • Ability to coach others with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization
  • Experience with agile development methodologies and Test-Driven Development (TDD)
  • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business
  • Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges
  • Excellent problem solving, communication and collaboration skills

Advanced experience and/or expertise with several of the following:
  • Software Engineering & System Design: Requirement analysis, coding, and testing, version control, microservices architecture, building RestFul APIs, Distributed computing, architecture patterns, general understanding of computer architecture, Object-oriented programming concepts
  • Machine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, and reinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc., Neural network, NLP, computer vision, and predictive analytics
  • Model Performance Management: model monitoring, model validation, bias detection, explainability, performance, drift, outliers etc.
  • Model Deployment: Thorough Understanding of MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.), A/B testing. Pipeline frameworks like MLFlow, AWS SageMaker pipeline etc. model and data versioning
  • Data Integration, Transformation & Processing: Transforming and mapping raw data to generate insights. Data wrangling through various tools. Understanding big data ecosystems, relational, NOSQL and graph databases, unstructured and semi-structured data. Data processing on distributed systems with Spark/PySpark
  • Statistics and Computing: Strong knowledge of: Linear Algebra, Probability and Statistics, Multivariate Calculus, Distributions like Poisson, Normal, Binomial etc.
  • Programming Languages: Python, R, SQL, Java or Scala, SQL

You'll Love Working Here Because You Can
Join a team and culture where your voice matters; where every day, your work transforms our experiences to make lives better. As you put your skills to use, we'll help you make an even bigger impact with learning experiences that can grow your technical AND leadership capabilities. You'll be surprised by what this rock-solid organization has in store for you.
What we offer you:
Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $125,000.00 to $229,700.00. Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills.
  • Market competitive base salaries, with a yearly bonus potential at every level.
  • Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave.
  • 401(k) plan with company match (up to 4%).
  • Company-funded pension plan.
  • Wellness Programsincluding up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs.
  • Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
  • Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs.
  • Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service.

Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance. To find out more about our Total Rewards package, visit Work Life Balance | Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week.
Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom.
Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law.
If you need an accommodation to complete the application process, please email accommodations.hw@prudential.com.
If you are experiencing a technical issue with your application or an assessment, please email careers.technicalsupport@prudential.com to request assistance.

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