Remote Jobs

TTEC Digital logo

Senior Technical Architect – Data Analytics

TTEC Digital

Location
India
Posted

Senior Technical Architect for Data Analytics team in Hyderabad, India, with experience leading projects and teams, and technical skills in Python/PySpark, SQL, Azure or GCP or AWS, DevOps, and SaaS products.

Taskrabbit logo

Mobile Software Engineer

Taskrabbit

Location
United States of America
Posted
Salary Range
96k - 134k USD

Mobile Software Engineer job at Taskrabbit, remote-first company with competitive compensation and diverse culture.

Taskrabbit logo

Mobile Software Engineer

Taskrabbit

Location
United States of America
Posted
Salary Range
96k - 134k USD

Mobile Software Engineer at Taskrabbit: Deliver features using native mobile app development skills, join a diverse culture that values inclusion and equity.

Shippo logo

Director of Engineering - App

Shippo

Location
United States of America
Posted
Salary Range
210k - 284k USD

Lead Shippo's App engineering strategy, manage teams for billing, orders, and app maintenance, drive customer experience through innovative software solutions. Enjoy comprehensive benefits including healthcare coverage, flexible vacation policies, WFH stipends, and professional growth opportunities.

InDebted logo

Senior Software Engineer - Data Transformation

InDebted

Location
Philippines
Posted

Join InDebted as an Integration Engineer to lead technical teams, develop integrations in Golang and Python, and leverage AWS for cloud solutions. Enjoy remote flexibility and comprehensive benefits while contributing to impactful work in the debt resolution space.

Binance logo

Senior Site Reliability Engineer (Big Data)

Binance

Location
Brunei Darussalam
Posted

Senior Site Reliability Engineer (Big Data) at Binance: Design & improve Big Data infrastructure/services with automation components, Linux, computer networks, and programming languages.

Binance logo

Mobile Developer (C++)

Binance

Location
Brunei Darussalam
Posted

Mobile Developer (C++) - Design & implement high-performance mobile components, optimize performance, promote best practices

Voodoo logo

Experienced Mobile Developer

Voodoo

Location
France
Posted

Develop and optimize Mobile Unity SDK for Android and iOS, collaborate with stakeholders, and drive end-to-end projects at Voodoo.

Reka logo

Data Engineer

Reka

Location
Singapore
Posted

Join Reka as a Data Engineer to build scalable data pipelines, collaborate with researchers and engineers on cutting-edge AI projects, and contribute to the development of multimodal foundation models using tools like Python, Hadoop, Spark, AWS, Azure, Google Cloud, Docker, and Kubernetes. Enjoy benefits including 4 weeks paid leave, visa support, and comprehensive healthcare.

Yuno logo

Data Engineer

Yuno

Location
Chile
Posted

Data Engineer at Yuno: Design & build scalable data pipelines, collaborate with teams, & drive innovation in payment infrastructure.

Pagos logo

Data Engineer

Pagos

Location
Croatia
Posted

Build and maintain scalable data pipelines using technologies like SQL, Redshift, Apache Spark, and cloud platforms. Collaborate with backend engineers and contribute to our payments platform.

Red Canary logo

Data Engineer

Red Canary

Location
United States of America
Posted
Salary Range
117k - 135k USD

Design and build scalable data infrastructure at Red Canary. Develop and manage data products, ensuring high-quality data for cross-functional teams to drive innovation and growth.

Eneba logo

Data Engineer

Eneba

Location
Lithuania
Posted
Salary Range
48k - 72k EUR

Data Engineer at Eneba: build data pipelines, collaborate with ML engineers, and improve internal processes.

StackAdapt logo

Data Engineer

StackAdapt

Location
Canada
Posted

Join StackAdapt as a Data Engineer to design scalable data pipelines and implement ML algorithms for their advertising platform. Enjoy competitive salary, equity, RRSP matching, health benefits, work from home support, training programs, mentorship, and a supportive culture in this remote-first role.

Rackspace logo

Data Architect

Rackspace

Location
Viet Nam
Posted

Databricks SRE for Finance Data Repository (FDR) with expertise in infrastructure design, security, and optimization.

Nethermind logo

Blockchain Data Engineer

Nethermind

Location
Anywhere in the world
Posted

Extract on-chain data from PoS networks, design scalable blockchain indexed platforms, assist in data analysis, build cloud infrastructure, interact with product teams to deliver applications. Requires expertise in blockchain technologies, programming languages like Python/JavaScript/Golang, distributed systems, APIs, and cloud infrastructure.

Lumos logo

Data Lead

Lumos

Location
United States of America
Posted

Data Lead at Lumos: Drive business growth through data-driven insights

StackAdapt logo

Senior Data Scientist, Mobile App User Acquisition (copy)

StackAdapt

Job Summary

StackAdapt is seeking a Senior Data Scientist, Mobile App User Acquisition to join their data science team. The role involves creating and optimizing advanced machine learning algorithms to enhance mobile advertising effectiveness, user acquisition strategies, and ROI using deep ML expertise. The ideal candidate has 3+ years of industry experience in data science or machine learning, a Master's degree or PhD in Computer Science, Statistics, Operations Research, or a related field, and proficiency in coding, data structures, and algorithms. StackAdapt offers a friendly, collaborative environment, flexible remote work options, and competitive benefits.

StackAdapt is a self-serve advertising platform that specializes in multi-channel solutions including native, display, video, connected TV, audio, in-game, and digital out-of-home ads. We empower hundreds of digitally-focused companies to deliver outcomes and exceptional campaign performance everyday. StackAdapt was founded with a vision to be more than an advertising platform, it’s a hub of innovation, imagination and creativity.

We're looking to add Senior Data Scientist, Mobile App User Acquisition to our data science team! This team works on solving complex problems for StackAdapt's mobile in-app advertising platform. You'll be working directly with our data scientists, data engineers, Product & Engineering team on building pipelines and ad optimization models. With databases that process millions of requests per second, there's no shortage of data and problems to tackle.

Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/ 
Learn more about our team culture here: https://www.stackadapt.com/careers/data-science
Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU 

StackAdapt is a Remote First company, and we are open to candidates located anywhere in North America for this position.

What you'll be doing:

    • Lead the creation and optimization of advanced machine learning algorithms—from developing new methods to refining existing techniques—to enhance mobile advertising effectiveness, user acquisition strategies, and ROI using deep ML expertise.
    • Own the end-to-end development of mobile-focused production-grade ML models: write efficient, scalable code and collaborate with Data Engineers to deploy and integrate algorithms into live systems, ensuring seamless interaction with MMPs, ad networks, and attribution platforms.
    • Drive the prototyping and rigorous testing of innovative algorithms and mobile acquisition data pipelines using historical data to validate performance and scalability; lead iterative improvements based on data-driven insights, optimizing CPI, LTV, and retention metrics.

What you’ll bring to the table:

    • 3+ years of industry experience in data science or machine learning
    • A Master’s degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
    • The ability to take an ambiguously defined task and break it down into actionable steps, leveraging data-driven insights.
    • A comprehensive understanding of statistics, optimization,, and machine learning techniques to drive performance improvements.
    • Proficiency in coding, data structures, and algorithms, with hands-on experience working with large datasets.
    • Working knowledge of mobile user acquisition strategies and a solid understanding of programmatic advertising, including attribution models, ad exchanges, and bidding dynamics.
    • A passion for working in a friendly, collaborative environment, partnering with cross-functional teams to drive business impact.

StackAdapters Enjoy:

    • Your Talent Business Partner will include the benefits that are offered in the location indicated
    • Here is an example of what it would look like for the US:
    • Highly competitive salary
    • RRSP/401K matching
    • 3 weeks vacation + 3 personal care days + 1 Culture & Belief day + birthdays off
    • Access to a comprehensive mental health care platform
    • Full benefits from day one of employment
    • Work from home reimbursements
    • Optional global WeWork membership for those who want a change from their home office
    • Robust training and onboarding program
    • Coverage and support of personal development initiatives (conferences, courses, etc)
    • Access to StackAdapt programmatic courses and certifications to support continuous learning
    • An awesome parental leave policy
    • A friendly, welcoming, and supportive culture
    • Our social and team events!
StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.

About StackAdapt

We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:


2024 Best Workplaces for Women and in Canada by Great Place to Work®

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