UNKNOWN

FEED

wrangling large, noisy datasets --- EDI records, tracking logs, port data, weather overlays, and multi-model feeds. 6+ Years in shipping, freight, logistics, or supply chain, Understand how cargo and data both move.

Must be a US Citizen or Hold a Green Card ABOUT THE ROLEWe are looking to hire a Data Scientist who can transform thecomplexity of global shipping and logistics into clear, actionableintelligence. You'll work across operations, engineering, and leadershipto build predictive systems that optimize routes, forecast demand, andsurface insights that keep cargo moving. This is a high-impact role at theintersection of data science, operational expertise, and emerging AI.CORE REQUIREMENTSThis candidate will have Dashboard & BI Tooling. Being Fluent inTableau, Power BI, Looker, or equivalent. They will be able to model dataand present it for both technical and executive audiences.They will have Complex Data Fluency. Being very comfortablewrangling large, noisy datasets --- EDI records, tracking logs, port data,weather overlays, and multi-model feeds.They will do Predictive Modeling. Having proven experience buildingML models from messy. High-dimensional datasets (time series, sensordata, ETA prediction, etc.).They will be well versed in AI & Machine Learning. Having Hands-Onexperience with LLM's, NLP, computer vision, or operations researchapplied to real-world logistics problems.This candidate must also be excellent in Collaboration &Communication. They can translate model outputs into businessdecisions. They will also possess strong documentation habits andcross-functional alignment skills.WHAT YOU'LL WORK ONRoute optimization and transit time prediction models · Anomalydetection in shipment and carrier data · Real-time operationaldashboards for fleet and port performance · AI-assisted demandforecasting for freight capacity planning · Cross-team datainfrastructure and model deployment support.REQUIREMENTS6+ Years in shipping, freight, logistics, or supply chain,Understand how cargo and data both move.NICE TO HAVESPython, R, or SQL --- scripting and querying at production scale.Software Development Principles: version control (Git), CI/CD, APIintegration. Familiarity with containerization (Docker) or cloudplatform (AWS, GCP, Azure). Experience building data pipelines or ETLworkflows.

ResultStack

Sr. Data Scientist

Application Programming Interface (API)

Artificial Intelligence (AI)

Business Intelligence Software

Business Model

Capacity Management

Cargo/Freight

Computer Vision

Continuous Deployment/Delivery

Continuous Integration

Data Modeling

Data Science

Demand Forecasting/Planning

Docker

Forecasting

Leadership

Logistics

Natural Language Processing (NLP)

Operations Research

Python Programming/Scripting Language

R Programming Language

Reporting Dashboards

SQL (Structured Query Language)

Scripting (Scripting Languages)

Software Development

Source Code/Configuration Management (SCM)

United States Citizen

Vehicle Fleets

BreezyHR

Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You'll Do <ul><li>Be scrappy to find new sources of audio data and bring it into our ingestion pipeline </li><li>Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform. </li><li>Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models. </li><li>Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team's dataset roadmap to power Speechify's next-generation consumer and enterprise products. </li></ul>An Ideal Candidate Should Have<ul><li>BS/MS/PhD in Computer Science or a related field. </li><li>5+ years of industry experience in software development. </li><li>Proficiency with bash/Python scripting in Linux environments </li><li>Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP) </li><li>Experience with web crawlers, large-scale data processing workflows is a plus </li><li>Ability to handle multiple tasks and adapt to changing priorities. </li><li>Strong communication skills, both written and verbal. </li></ul>What we offer<ul><li>A fast-growing environment where you can help shape the company and product. </li><li>An entrepreneurial-minded team that supports risk, intuition, and hustle. </li><li>A hands-off management approach so you can focus and do your best work. </li><li>An opportunity to make a big impact in a transformative industry. </li><li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture. </li><li>Opportunity to work on a life-changing product that millions of people use. </li><li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. </li><li>Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. </li></ul> Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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Sr. Data Scientist ResultStack

Software Engineer, Data Infrastructure & Acquisition - Columbia, SC, USA Speechify

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