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Remote Applied Mathematics Jobs in New York (NOW HIRING)

Sales Engineer (Remote)

Brooklyn, NY · On-site +1

$100K - $130K/yr

Undergraduate degree (or higher) in a technical field - Computer Science, Applied Mathematics ... Location: Remote (US-based) * Benefits: Unlimited PTO, 401k, medical insurance Hiring process

Sales Engineer (Remote)

New York, NY · Remote

$100K - $130K/yr

Undergraduate degree (or higher) in a technical field - Computer Science, Applied Mathematics ... Location: Remote (US-based) * Benefits: Unlimited PTO, 401k, medical insurance Hiring process

Bachelor's degree in computer science, data science, statistics, applied mathematics or related ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Bachelor's degree in computer science, data science, statistics, applied mathematics or related ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Showing results 21-40

Remote Applied Mathematics information

See New York salary details

$22.4K

$84.6K

$202.8K

How much do remote applied mathematics jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote applied mathematics in New York is $84,585.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,277.00 and $108,780.00 per year, depending on experience, location, and employer.

What is a remote applied mathematics?

A Remote Applied Mathematics job involves using mathematical theories and techniques to solve real-world problems in various industries while working from a remote location. Professionals in this field apply mathematical modeling, statistical analysis, and computational methods to fields like finance, engineering, data science, and operations research. They often collaborate with teams virtually, using digital tools to analyze data, develop algorithms, and optimize solutions. Strong problem-solving skills and proficiency in programming languages like Python, R, or MATLAB are commonly required. This role offers flexibility and allows mathematicians to contribute to diverse industries without being tied to a physical office.

What are some typical projects or problems addressed by professionals in remote applied mathematics roles?

Professionals in Remote Applied Mathematics frequently tackle complex problems such as optimizing processes, developing statistical models, or analyzing large datasets to extract actionable insights for industries like finance, healthcare, or engineering. Their daily work often involves collaborating with multidisciplinary teams via virtual meetings, sharing research findings, and validating results through computational simulations or data analysis. Project scopes can range from short-term consultations to long-term research, allowing for significant variety and intellectual engagement. This dynamic environment enables applied mathematicians to make real-world impacts while building a versatile skill set relevant to a variety of sectors.

What are the key skills and qualifications needed to thrive in the remote applied mathematics position, and why are they important?

To thrive in Remote Applied Mathematics, you need a solid background in mathematical modeling, statistical analysis, and problem-solving, usually substantiated by a degree in mathematics, applied math, or a related field. Familiarity with programming languages such as Python, MATLAB, or R, and experience using data analysis software is highly valued. Strong communication, self-motivation, and time management skills help remote professionals collaborate and meet project goals effectively. These combined abilities are crucial to deliver high-quality mathematical solutions and insights while working independently in a virtual environment.

Can applied mathematicians work remotely?

Applied mathematicians can often work remotely, especially in roles involving data analysis, modeling, or software development, which primarily require a computer and internet connection. Many employers offer remote or hybrid arrangements, and skills in programming and statistical tools facilitate remote work environments.

Is applied mathematics in demand?

Applied mathematics is in high demand across industries such as finance, engineering, data science, and technology, where analytical and problem-solving skills are essential. Professionals with expertise in mathematical modeling, programming, and statistical analysis are sought after for roles in research, development, and data-driven decision making.

What jobs can I do with a remote applied mathematics degree?

A remote applied mathematics degree qualifies you for roles such as data analyst, quantitative analyst, operations researcher, or mathematical modeler. These jobs often require skills in programming, statistical software, and problem-solving, and may involve working with data, algorithms, or simulations in various industries like finance, technology, or research.

What jobs can you get with a remote applied mathematics degree?

A remote applied mathematics degree can lead to roles such as data analyst, quantitative analyst, operations researcher, or software developer. These positions often require strong analytical skills, proficiency in programming languages like Python or R, and the ability to work independently in a virtual environment.

What are the most commonly searched types of Applied Mathematics jobs in New York?

The most popular types of Applied Mathematics jobs in New York are:

What are popular job titles related to Remote Applied Mathematics jobs in New York?

For Remote Applied Mathematics jobs in New York, the most frequently searched job titles are:

What job categories do people searching Remote Applied Mathematics jobs in New York look for?

The top searched job categories for Remote Applied Mathematics jobs in New York are:

What cities in New York are hiring for Remote Applied Mathematics jobs?

Cities in New York with the most Remote Applied Mathematics job openings:

Infographic showing various Remote Applied Mathematics job openings in New York as of August 2026, with employment types broken down into 2% Internship, 67% Full Time, 23% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $84,585 per year, or $40.7 per hour.

Sales Engineer (Remote)

Soda Data

Brooklyn, NY • On-site, Remote

$100K - $130K/yr

Full-time

Medical, Retirement, PTO

Re-posted 29 days ago


Job description

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the team they call.
Soda is the data quality layer for Disney, Ralph Lauren, CBRE, HelloFresh, 2K Games, and Nubank. The category is growing rapidly because AI doesn't work on bad data.
We're hiring a remote Sales Engineer to work alongside our AEs, CRO, and the rest of the GTM team. You'll work on enterprise deals with the most technical buyers in the market, learn the full sales cycle from people who've built and sold to enterprises before, and grow fast.
Who this is for
Sales Engineers with a couple of years under their belt who want to level up. You've run demos, supported PoCs, and worked with AEs on real deals - now you want to do it at a startup where the deals are technical, and you can move fast without layers of process getting in the way.
You'll work directly with AEs, and the CRO on enterprise accounts. You'll run demos, scope PoCs, and own the technical side of deals - with support when you need it and room to grow into bigger deals as you prove yourself.
What you'll do
  • Run demos and scope PoCs alongside our AEs, from first technical call through to closed-won
  • Translate customer problems into Soda solutions, and translate Soda's capabilities into the customer's language
  • Build custom demos, sample pipelines, and PoC environments that show real value
  • Own product, technical, and security responses on RFPs and RFIs
  • Support customers through evaluation, purchasing, and implementation
  • Be the technical voice in the room - with Data Engineers, Heads of Data Platform, and Chief Data Officers
  • Feed product and engineering the signal from the field - what's winning, what's losing, and why
  • Travel occasionally to customer sites, team offsites, and conferences
  • Wear many hats - it's a startup, you'll touch every stage of the sales cycle

How you'll operate
  • Direct line to the CRO, Director of CEs, and product team - no layers
  • Ramp on Mid-market deals early, grow into enterprise as you prove yourself
  • Learn the product deeply - Soda Core (open source) and Soda Cloud (commercial)
  • Learn the enterprise data stack - Snowflake, Databricks, dbt, Airflow, Kafka

Requirements
Must have
  • 1-3 years as a Sales Engineer, Solutions Engineer, or similar customer-facing technical role at a B2B SaaS company
  • Undergraduate degree (or higher) in a technical field - Computer Science, Applied Mathematics, Engineering, or similar
  • Fluent in Python - you can read, write, and debug it in front of a customer
  • Experience running demos and supporting PoCs in customer environments
  • Strong customer communication - clear, calm, and honest under pressure. You can explain something technically complex to a Data Engineer and to a VP of Data in the same conversation
  • Builder mentality, process-oriented - you want to optimize and streamline boring processes. You write docs without being asked. You notice when a process is broken and propose a fix. You'd rather build an AI workflow to automate a repetitive task than do it manually three more times - and you have examples of doing exactly that
  • High horsepower and ruthless prioritization - you context-switch well, manage multiple projects with expansive ownership, and don't drop balls
  • Have a humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed
  • Based in the US

Nice to have
  • Top university degree
  • Experience selling to data teams (Data Engineers, Data Platform, CDOs)
  • Familiarity with data quality, governance, or observability tools
  • Data stack fluency - Snowflake, Databricks, BigQuery, dbt, Airflow, Kafka
  • Experience at a high-growth Series A-C startup
  • Experience building or presenting custom demos
  • Experience working remotely in a high-growth environment

Benefits
  • Base salary: $100,000-$130,000
  • Equity
  • Location: Remote (US-based)
  • Benefits: Unlimited PTO, 401k, medical insurance
Hiring process
  1. Phone screen interview
  2. Recorded demo - We'll give you access to the product. You'll record a short demo of Soda to a hypothetical customer.
  3. Technical interview
  4. Culture fit with the CRO and Director of Customer Engineering