1042 Data Modeling Manager jobs in Boston,MA

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Senior Research Scientist– Battery and Data Center Safety

Norwood, MA 02062

~ 34 min OnsiteFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

PhD in Mechanical, Chemical Engineering, Fire Protection Engineering, or a closely related field.
Strong fundamental background in combustion, fluid mechanics, heat transfer, and applied mathematics.
Extensive experience with experimental and modeling methods in thermal fluids, heat transfer, and combustion/fire science, as well as a general understanding of battery electrochemistry and performance characteristics.

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New, Posted 6 hours ago

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Senior Vice President, Data Science Manager

BNY

Boston, MA 02203

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Data Management Job Training Program

Year Up United

Boston, MA 02108

$525/wk

Onsite

A high school graduate or GED recipient
Eligible to work in the U.S.
Available Monday-Friday throughout the duration of the program
Have not obtained a Bachelor's degree

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Principal AI Software Engineer

GE Vernova

Cambridge, MA 02140

~ 10 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Computer Engineering, or related technical field.
10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go).
Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale.
Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications.
Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks).
Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship.
Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS).
Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA.
Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided.
GE Vernova will only employ those who are legally authorized to work in the United States for this opening.

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Database Administrator (Boston,MA - US)

Energy Solutions

Boston, MA 02110

New, Posted 11 hours ago

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AML Compliance Model Developer – Associate

Santander Holdings USA

Boston, MA 02109

Onsite

Bachelor's degree in computer science, Information Systems, Data Analytics, Finance, Mathematics, or related field
3–5 years of experience in AML Compliance Technology, AML model development, or a related field within banking or financial services
Strong programming and analytical experience using SAS for data analysis, reporting, model support, and testing
Good working knowledge of Python for data manipulation, scripting, automation, and analytical processing
Strong SQL skills with experience developing complex queries, joins, procedures, and handling large-scale datasets
Experience working with Jira for Agile project tracking, sprint management, and defect lifecycle management
Working knowledge of testing methodologies including functional testing, regression testing, SIT, and UAT
Understanding of AML regulations and compliance frameworks including BSA/AML, OFAC, KYC, and transaction monitoring concepts
Strong analytical, quantitative, and problem-solving skills
Ability to multitask, manage priorities, and work effectively in fast-paced environments
Strong communication, documentation, and stakeholder management skills
Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment

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Retail Data Collector

SAS Retail Services

Somerville, MA 02143

$17/hr

~ 12 min OnsiteChat NowHealth Insurance

You're 18 years or older
Can perform physical work of moving, bending, standing and can lift up to 10 lbs.
Have reliable transportation to and from work location
Can use your smartphone or tablet to record work after each shift
Are comfortable with smartphone technology and applications, with the ability to quickly adapt to new tools and software
Have the ability to perform job duties with a safety-first mentality in a retail environment

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Research Scientist AI/ML Foundational Models

Takeda Pharmaceutical

Boston, MA 02110

New, Posted 4 hours ago

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Assistant Store Manager (Retail Operations)

ALDI

Medford, MA 02155

$27.50/hr

~ 11 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

You must be 18 years of age or older to be employed for this role at ALDI
High School Diploma or equivalent preferred
A minimum of 3 years of progressive experience in a retail environment
Prior management experience preferred
Meets any state and local requirements for handling and selling alcoholic beverages
Employment may be contingent upon ALDI's receipt of an acceptable and job-related drug test, motor vehicle report, and/or reference check, as applicable and permissible by law.

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Principal Quant Developer (MLOps)

Fidelity Investments

Newton, MA 02458

~ 10 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

A Bachelor's degree in Computer Science, Financial Engineering, Information Technology, Information Systems, Mathematics, Physics, Statistics, Engineering, or a closely related field
Six (6) years of experience as a Senior Quant Developer or similar role
Alternatively, a Master's degree (or equivalent foreign education) in the same fields
Four (4) years of experience as a Lead Quantitative Development or similar role
This experience should include building high-quality, robust, and efficient systems and solutions for financial investment decisions, utilizing R, Python, PL/SQL databases, and quantitative techniques.
Expert in Python with experience across the development stack (full stack)
Exposure to object-oriented programming (OOP) and design patterns
Experience in at least one unit testing framework and understanding of test-driven development (TDD) concepts and methodologies
A commitment to writing clean, maintainable, and efficient code, with best practices for long-term maintainability
Skilled in a range of database technologies: SQL (Oracle & Snowflake), NoSQL, Graph
Skilled in batch and API technologies: such as batch scheduling (using Autosys and Airflow) and creating REST APIs (using FAST API and Flask)
Proven ability to construct and manage robust data pipelines and event-driven workflows
Proven expertise in system design and cloud architecture on AWS, leveraging resources including Lambda, S3, EKS, and EC2
Experience in containerization with Docker and orchestration with Kubernetes
Implement CI/CD pipelines (using Linux and Jenkins), code versioning using GitHub
Experience in Infrastructure as Code methodologies for consistent and scalable infrastructure management
Experience operationalizing machine learning models on AWS, including services such as SageMaker (training, deployment, model registry, monitoring) and Bedrock (foundation model access and fine-tuning)
Operationalizing AI/ML pipelines using modern MLOps principles, including production lifecycle management of AI models
Familiarity with experiment tracking and model versioning tools (e.g., MLflow)
Identifying and deploying applied ML solutions relevant to quantitative investing: time series forecasting, anomaly detection, NLP, and predictive analytics
Awareness of responsible AI governance practices
Demonstrated enthusiasm for contributing to all facets of our AI ecosystem, from application development to MLOps/LLMOps infrastructure, with a versatile, full-stack engineering mindset
Demonstrated knowledge of mathematics, statistics, and quantitative finance
Deep understanding of quantitative techniques and methods, statistics and econometrics including probability, linear regression and time series data analysis
Analyze and design systems to implement quantitative models for systematic financial investments using R and Python, including time series forecasting models, multi-asset class portfolio construction strategies, risk management tools, alpha research, and simulation-based algorithms
Domain knowledge in either equities, fixed income or alternative asset classes