3,157 Results for

Data Scientist Jobs in Brooklyn, NY

Jobs

Jersey City,, New Jersey

$65–$70 / hour
Contractor

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. You will develop, test, and maintain essential data pipelines and architectures across diverse technical areas, supporting various business functions to achieve organizational objectives.

30+ days ago

New York City, NY

Remote

$79,000–$145,000 / year
Full time

Since 2010, SynergisticIT has helped candidates return to the workforce and land full-time jobs at major employers—companies like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Citi, JPMC, Walmart Labs, Deloitte, and more—often with offers between $90,000 and $154,000 depending on role and expertise. SynergisticIT commonly supports hiring pipelines for roles such as junior software programmer, Java full stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer.

27 days ago

New York, NY

$79,000–$145,000 / year
Full time

A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, JPMC, Wayfair, Bank of America, Citi, and more) with offers commonly in the $95k–$154k range depending on role and skill depth.

11 days ago

Jersey City, NJ

$82,000–$127,000 / year
Full time

Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.

7 days ago

New York, NY

$200,000–$250,000 / year

p/>

Build AI-driven applications used daily within a global professional services environment

Hands-on with Copilot Studio, Azure OpenAI, and custom development.
The Role
- Design and deliver custom AI applications integrated into daily business workflows.

8 days ago

Jersey City, NJ

$50–$60

Strong Python software engineering experience building and maintaining production-grade libraries, services, and platforms; Linux, scripting, and automation required (Java/Groovy a plus). Experience building and operating cloud-native systems on AWS, including core services and managed ML platforms (e.g., SageMaker); Azure or GCP exposure beneficial.

7 days ago

New York, NY

$82,000–$136,000 / year
Full time

Since 2010, we’ve helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.

10 days ago

New York, NY

$82,000–$136,000 / year
Full time

7 days ago

$190,000–$210,000 / year

Alma has raised $220.5M in funding from Insight Partners, Optum Ventures, Tusk Venture Partners, Primary Venture Partners, First Round Capital, Sound Ventures, BoxGroup, Cigna Ventures, and Rainfall Ventures. You will leverage your expertise in analytics, experimentation, and AI/ML to address complex challenges including conversion funnel optimization, search ranking, and client-provider matching.

30+ days ago

$153,800–$246,100 / year

About the role : Own end-to-end scalable machine learning models for risk assessment, forecasting, anomaly detection, customer clustering, natural language processing and other key finance initiatives. Analyze complex datasets of structured & unstructured data using advanced analytics to generate actionable insights; communicate findings through impactful reports and presentations.

14 days ago

$165,000–$246,200 / year

Some examples include:A revolutionary approach leveraging advanced statistical methods to identify the best interest-rate or product price to provide to clientsA Generative AI powered "chatbot-like" search platform that enables sales and product teams to quickly find high quality answers to product, servicing, and client related questionsA comprehensive AI model that helps to move foreign currency conversion "up the payment stream" and away from the beneficiary banksApplying advanced NLP techniques to generate near real-time insights into what clients are reaching out to servicing teams about, providing servicing teams with constant information on how they can better serve clientsWho we're looking for:If you are passionate about working in cross-functional teams and utilizing your skills for technical product management, statistical analytics, predictive modeling, and generating revenue, consider applying to this role. We provide industry-leading benefits, access to paid time off, resources and support to our employees so they can make a genuine impact and contribute to the sustainable growth of our business and the communities we serve Share: Save job Job saved.

16 days ago

$70–$79 / hour

p>Key Responsibilities:

Collaborate with the Product Owner to manage the end-to-end AI development lifecycle, including requirements gathering, data sourcing, model development, proof-of-concept demonstrations, risk governance reviews, and production deployment across both on-premises and AWS environments. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA.

30+ days ago

$162,000–$258,750 / year

p>This is a high-impact leadership role for a seasoned data scientist who combines deep technical expertise, strong business intuition, and a passion for improving mental health outcomes.

About the Principal Data Scientist at Headspace:

We are looking for an innovative, strategic and impact- driven Principal Data Scientist to lead the evolution of data science across our care delivery and marketplace ecosystem.

30+ days ago

$195,500–$218,500 / year

D. in Data Science, Machine Learning, Computer Science, Physics, Mathematics, Operations Research, or related technical field with 6+ years of relevant industry experience; OR M.S./B.S. with 8+ years of relevant experience and a demonstrated track record of leading cross-team technical strategy and delivering organization-level impact.

30+ days ago

$139,900–$274,800 / year

li>

OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results).

OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results).

30+ days ago

Remote

$80–$87 / hour

In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts.

30+ days ago

$157,500–$192,500 / year

n \n\n Experience in statistical modeling using healthcare data \n \n\n Experience developing training material and delivering training to user groups of 10 or more \n \n\n Knowledge of privacy laws and regulations around health data (HIPAA) \n \n\n Demonstrated proficiency using AI assistants across planning, design, implementation, and documentation (e.g., IDE/code assistants such as GitHub Copilot or Claude Code; chat-based assistants such as Microsoft Copilot; notebook/workbench assistants), with human review, traceability, and validation of AI-generated outputs. \n \n\n \nQualifications: \n \nBasic Requirements: \n\n Master's degree in Mathematics, Computer Science, Statistics, or other related field; or equivalent experience \n \n\n 5+ years of experience in data science, data management and/or applying data analysis and reporting skills in a business context \n \n\n 5 years of experience with large healthcare transactional datasets/reporting \n \n\n 5 years of experience in healthcare transaction data, including QA, testing and reporting \n \n\n Expertise in programming languages to facilitate analysis (e.g.

30+ days ago

New York, NY

$143,650–$160,550 / year

At OpenX, we have built a team that is uniquely experienced in designing and operating high-scale ad marketplaces, and we are constantly on the lookout for thoughtful, creative executors who are as fascinated as we are about finding new ways to apply a blend of market design, technical innovation, operational excellence, and empathetic partner service to the frontiers of digital advertising. Apply expertise across several core areas of machine learning and statistics (e.g., gradient-boosted models, deep neural networks, time series, causal inference concepts, experimentation design), selecting appropriate methods for complex data science problems.

19 days ago

New York, NY

$178,300–$407,000 / year

If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com. We are looking for a Senior Manager, Data Scientist to be a senior technical leader across our most important AI bets driving applied research, leading multi-disciplinary teams, and shaping how EY designs, builds, and scales AI solutions for our clients.

30+ days ago

Stamford, CT

$128,000–$252,500 / year

Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.

30+ days ago

$128,000–$252,500 / year

p>Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.

27 days ago

Brooklyn, NY

$153,000–$180,000 / year

The work you execute will drive real-world impacts for millions of customers, including their safety, the reliability and affordability of their heat and power, and the environmental impacts of the services that National Grid provides them. As we lead the charge towards a carbon-free future, our digital teams are introducing best practices from across the tech industry to drive efficiency and bring new capabilities to our internal and external customers.

30+ days ago

$119,800–$234,700 / year

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience. Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Masters Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

30+ days ago

$95,600–$188,400 / year

p>Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions and framework design, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.

25 days ago

$115,000–$165,000 / year

Positioned at the center of big data, innovative technology, and multichannel media, Veeva Crossix provides life sciences companies with insights to help make strategic business decisions and drive improved patient outcomes.

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster.

30+ days ago

Stamford, CT

p>Join our fast-growing Global Product Management Data Science team and help transform Gartner's Client Experience Digital Platform-the essential destination for IT and business leaders worldwide.

In this role, you will lead complex data science projects in partnership with cross-functional teams, driving the development of advanced AI-powered chatbot systems that deliver intelligent, personalized experiences at scale.

30+ days ago

$169,541–$170,541 / year

li>

Additional requirements:

Five (5) years of experience with programming languages including Python and SQL;

Five (5) years of experience with predictive models including time series models, liner regression, logistic regression, and random forest;

Three (3) years of experience leading end-to-end data science project implementation;

Three (3) years of experience with Visualization tools including Tableau;

Three (3) years of experience with Big Data Tools including Apache Hadoop and Spark;

Three (3) years of experience with cloud platforms and AWS. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.

20 days ago

$166,000–$214,000 / year

You'll work on highly specialized problems at the intersection of natural language processing, communications intelligence, financial supervision, and regulatory compliance, where unstructured data from emails, chats, voice transcripts, and trade communications hold the keys to uncovering misconduct and risk. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines.

10 days ago

New York, NY

$125,000–$135,000 / year

Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of elite business consultants, data analysts, data scientists, data engineers, and digital experts are all laser-focused on delivering real value to every client. Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all dedicated to bringing extra value to every client.

5 days ago

East Hanover, NJ

Knowledge with the following but not limited to: • Database systems such as MySQL, MongoDB, Big Query and Neo4j • Source code management system like GitHub, Mercurial, and SVN for collaborative development • Analytic notebooks such as Jupiter and Zeppelin • expertise in creating interactive data visualizations with open-source web technologies such as Angular, Vue, React, or D3.js, as well as frameworks such as Shiny and Plotly Dash • Ability to develop data-intensive, containerized full-stack web applications using technologies such as Node.js, Metrics • Roadmap design and execution • Earn seat at the table for product stream leader forums • Competency and curriculum in place • Community expansion and embedment in functions and regions • Career path in place and progress in Engagement Score • On time delivery, TCO and quality Key Interactions / Stakeholders • MDS Platform teams (Emerging Tech, CTO etc) • MDS Domain/Function Lead and D&A Product Stream Lead as the ultimate workplan stakeholder • D&A horizontals team that makes up the data product squad (e.g.

30+ days ago

$240,000–$249,500 / year

As a Senior Staff Data Scientist, you will go beyond individual problem solving - you will help shape the strategic direction of applied data science, mentor senior and junior scientists, and collaborate closely with engineering, product, operations, and business leaders to move our ML and analytics capabilities toward scalable, production-grade systems.

As a leading U.S. ordering and delivery marketplace, we feature over 415,000 merchants in more than 4,000 cities, creating the ultimate food experience by elevating online ordering through innovative restaurant technology, easy-to-use platforms, and an improved delivery experience.

26 days ago

Sprinklr's unified platform provides powerful solutions for every customer-facing team - spanning social media management, marketing, advertising, customer feedback, and omnichannel contact center management - enabling enterprises to unify data, break down silos, and act on real-time insights. • Advanced presentation skills to share key insights with executives, senior leadership and business stakeholders Advanced presentation skills to share key insights with executives, senior leadership and business stakeholders.

30+ days ago

$143,900–$180,000 / year

What You'll Do: • Generate insights through deep-dive analysis to inform strategy and prioritization • Define metrics and create dashboards to measure product performance • Design, execute, and analyze A/B testing experiments to validate product hypotheses • Collaborate with product, engineering, and marketing stakeholders to define the product roadmap • Identify opportunities and initiate new data science projects that drive company OKRs • Communicate technical insights effectively to influence decision-making. Alma has raised $220.5M in funding from Insight Partners, Optum Ventures, Tusk Venture Partners, Primary Venture Partners, First Round Capital, Sound Ventures, BoxGroup, Cigna Ventures, and Rainfall Ventures.

30+ days ago

New York, NY

$124,000–$175,000 / year

Specific projects will include contributing to the models driving Paramount+'s financial forecasts and designing the ML Ops platform that will enable the Data Science team to scale their model deployments. We are seeking a Senior Data Scientist who is excited to deploy MLOps products that shape business strategy, optimize content, inform marketing investment decisions, and enhance the user experience.

30+ days ago

$160,000–$170,000 / year

p>We are looking for a product-minded Applied Data Scientist or Machine Learning Engineer to help build, ship, and scale ML-powered products that directly improve how our customers make decisions, operate their businesses, and serve their own users.

WHAT YOU'LL BRING:

Experience: 3+ years (ideally 5+) of professional experience in applied data science, machine learning, or ML engineering, including hands-on experience building and shipping models into production products.

5 days ago

Remote

$163,000–$218,000 / year

li>Develop and maintain a deep understanding of user growth dynamics: how acquisition, activation, and retention interact to drive growth, and use that understanding to diagnose metric movements, explain trends to leadership, and anticipate emerging risks or opportunities. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.

30+ days ago

$116,000–$130,000 / year

li>

Partner with cross-functional teams to design and optimize AI/ML solutions that deliver new product capabilities and internal workflow improvements, using news articles, photos, videos, election results, and other news data.

What you will do:

Evaluate, fine-tune, and maintain statistical and machine learning models used in run-time production environments, measuring and communicating performance improvements to stakeholders.

30+ days ago

New York, NY

$118,980–$195,465 / year

Experience in Insurance Underwriting3+ years of hands-on experience in AI/ML modeling and development, with a primary focus on agentic AI, LLMs, and NLP.Background in insurance and underwriting preferredDeep expertise in LLMs, generative AI, agentic systems, NLP, and multi-step reasoning architectures (e.g., LangGraph, RAG, agent frameworks).Strong programming skills in Python and familiarity with frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, and LangChain. Proven experience in providing technical leadership and mentoring to data scientists and strong project management skills with ability to monitor/track performance for enterprise success Working knowledge of core software engineering concepts (version control with Git/GitHub, testing, logging, CI/CD).Excellent analytical, problem-solving, and communication skills.

30+ days ago

p>Your role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototype development, and deploying directly with client delivery teams.

ML experience with causality, Bayesian statistics & optimization, survival analysis, design of experiments, longitudinal analysis, surrogate models, transformers, Knowledge Graphs, Agents, Graph NNs, Deep Learning, computer vision.

30+ days ago

$190,000–$220,000 / year

p>Carlyle's purpose is to connect people, ideas, and capital to fuel growth for companies and performance for investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions and corporations. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world's largest and most successful investment firms, with more than 2,500 professionals operating in 27 offices in North America, Europe, the Middle East, Asia and Australia.

30+ days ago

Madison, NJ

$151,280–$183,319 / year

p>The role sits at the edge of applied data science and AI engineering: you will design evaluation datasets, build analytical features, prototype models, test agent and retrieval performance, measure product impact, support sandboxed data problem solving, and explain model behavior in ways stakeholders can trust.

BMS is an AWS-first engineering environment for these products, and your work will use AWS-aligned data and AI services alongside enterprise-preferred tools such as OpenSearch, Amazon S3 Vectors, Amazon Neptune, PostgreSQL/RDS, LangGraph, LangSmith, and a variety of approved frontier LLM models and APIs.

30+ days ago

Newark, NJ

em> Strong track record in data science, statistics, and machine learning Role & Responsibilities : Develop and refine analytics & ML models and tools (e.g., Price Elasticity, iPPA diagnostics, Portfolio Simulators, TPO, TPM etc.) to support strategic RGM decisions Employ your analytical skills to decipher large datasets, and identify opportunities to enhance existing solutions, as well as develop new ones as scalable proof-of-concepts (PoC). Work closely with cross-functional teams, including data scientists, data engineers and product managers and business experts to ensure the smooth development of RGM models and translate outcomes to business stakeholders Collaborate extensively with business stakeholders to gather requirements, deeply understand challenges and identify opportunities.

30+ days ago

NY
$132,000–$264,000 / year
Leveraging expertise in deep learning and statistical data analysis, the group focuses on creating scalable and powerful deep learning models using frameworks like PyTorch and MLflow.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years'' experience in an analytics related field.
30+ days ago

Jersey City, NJ
$142,320–$213,480 / year
li>
Business Integration: Develop a comprehensive knowledge of how areas of business, such as architecture and infrastructure, integrate to accomplish business goals and to ensure the effective deployment of data science capabilities.
Innovation & Solutioning: Provide in-depth analysis with interpretive thinking to define complex business issues and develop innovative, data-driven solutions and machine learning models.
18 days ago

Jersey City, NJ
$55–$60 / hour
This role is responsible for designing, building, and continuously improving quantitative models, statistical methods, and analytical frameworks used to identify, assess, and prioritize insider risk across employees, contractors, vendors, and non human identities. The role partners closely with Cyber, HR, Legal, Compliance, Anti Fraud, and Enterprise Information Protection to transform complex enterprise data into defensible risk signals, transparent scoring models, and executive level metrics that support investigations, governance, and regulatory scrutiny.
30+ days ago

New
NY
Remote
$80–$90 / hour
In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Success requires scientific rigor, strong product judgment, and a passion for turning breakthrough ideas into tools, workflows, and experiences that empower researchers, developers, and customers.
3 days ago

NY
$130,000–$160,000 / year
Competencies: Corporate: Quality of Work Productivity Communication and Teamwork Initiative and Leadership Customer Focus / Service Technical Analytical Financial Acumen Mathematical Acumen Statistical Knowledge METRICS FOR MEASURING SUCCESS: Build predictive analytics model and improve the accuracy of the result set Support initiatives affecting Welltower's data and analytics solutions Welltower's data is protected and monitored against misuse and loss, and senior management is regularly assured of this, with no breaches occurring Employment is contingent upon the successful completion of a background check, drug screening, and verification of employment, education, and other credentials relevant to the position. Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending company's data with third party sources of information as and when needed Analyzing the output of the predictive analytics model to make meaningful information valuable to Welltower investment process Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner OTHER DUTIES Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of this employee for this job.

30+ days ago

NY
$131,200–$172,200 / year
p>Responsibilities:
• Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions • Own projects end-to-end, including problem definition, implementation, validation, and iteration • Deliver high-quality analytical and modeling outputs with limited manager oversight • Collaborate closely with data science peers and cross-functional partners across business units • Help ensure data science processes and outputs align with broader team strategies and roadmaps • Provide guidance or informal mentorship to junior data scientists or analysts when needed • Contribute to improving data science practices, tooling, and documentation.
Requirements:
• 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both) • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data • 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing.
30+ days ago

New
New York, NY
$96,130–$155,950 / year
p>Department Overview:
The US Financial Crime Risk Modeling & Advanced Analytics team within US Financial Crime department is responsible for developing, maintaining, and enhancing the Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions to comply with regulatory requirements/changes and internal policies, support TD's global AML/CTF strategies, address emerging risks, and be in accordance with best industry practice. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition.
4 days ago

Morris Plains, NJ
$180,000–$210,000 / year
Proactively introduce cutting-edge techniques (such as time-series forecasting methods, reinforcement learning for supply chain optimization, or NLP for financial document analysis) as Foster a culture of continuous improvement, where analytical methods are regularly refined and validated against business outcomes. Familiarity with enterprise data environments and tools (e.g., SAP/ERP, supply chain management systems, financial databases) and integrating solutions into production workflows (APIs, dashboards, business applications).
30+ days ago

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