Remote Jobs

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Data Scientist

Rackspace

Location
Egypt
Posted

Data Scientist job at Rackspace Technology, leveraging AWS integrations and modern ML frameworks to drive innovation and solve real-world business problems.

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Data Scientist

MyTraffic

Location
Spain
Posted

Data Scientist at Mytraffic: Design & develop predictive models, analyze spatial databases, collaborate with cross-functional teams, and communicate complex analyses to stakeholders.

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Data Scientist

Gauntlet

Location
United States of America
Posted
Salary Range
125k - 190k USD

Join Gauntlet as a Data Scientist to optimize DeFi protocols, conduct cutting-edge research, and manage client engagements while enjoying remote flexibility and attractive benefits.

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Data Scientist

Welocalize

Location
Argentina
Posted

Data Scientist for Welo Data - Develop predictive models, drive business decisions with advanced analytics techniques

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Data Scientist / Senior Data Scientist

StackAdapt

Location
Canada
Posted
Salary Range
150k - 250k USD

Develop and ship impactful computer vision features using tools by Roboflow, collaborate with a talented team, and create innovative AI solutions that make the world programmable.

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Data Scientist / Senior Data Scientist

StackAdapt

Location
United States of America
Posted

Join StackAdapt as a Data Scientist to innovate ML algorithms for advertising performance, collaborate with engineers, and enjoy comprehensive benefits in a remote-friendly environment.

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Lead Data Scientist

Simple app

Location
Cyprus
Posted

Lead Data Scientist at Simple: Enhance AI algorithms, lead projects, and advance personalization using strong data analysis skills and expertise in modeling.

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Lead Data Scientist

Upwork

Location
United States of America
Posted
Salary Range
158k - 184k USD

Lead Data Scientist role at Upwork, analyzing marketplace dynamics with data science expertise

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Data Scientist - Marketing

ElevenLabs

Location
Canada
Posted

Data Scientist for paid marketing analytics and operations at ElevenLabs

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Data Scientist II

TrueML

Location
Argentina
Posted
Salary Range
44k - 79k USD

Join TrueML as a Data Scientist to leverage your skills in Python, pandas, SQL, and machine learning tools to drive impactful solutions for distressed borrowers using data-driven approaches.

Binance logo

Data Scientist (NLP)

Binance

Location
Brunei Darussalam
Posted

Data Scientist (NLP) position at Binance, utilizing internal data to train models and develop applications for business decision-making.

Binance logo

Data Scientist(LLM)

Binance

Location
Taiwan, Republic of China
Posted

Data Scientist (LLM) job at Binance for cutting-edge research and development of large language models and AI technologies.

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Staff Data Scientist

OfferFit

Location
Brazil
Posted

Optimize live ML models using Reinforcement Learning and Causal ML at OfferFit. Collaborate with engineering teams to improve algorithms and deploy recent advances in production. Enjoy generous benefits including remote work flexibility and team support.

Simple app logo

Senior Data Scientist

Simple app

Location
Cyprus
Posted

Senior Data Scientist role at Simple, developing AI-powered health solutions with 15 million users, utilizing machine learning algorithms and modern data science techniques.

StackAdapt logo

Senior Data Scientist

StackAdapt

Location
Canada
Posted

Data Scientist at StackAdapt: Innovate ML algorithms, write production code, and optimize advertising performance.

Reddit logo

Data Scientist - Ads

Reddit

Location
United States of America
Posted
Salary Range
164k - 230k USD

As a Data Scientist at Reddit, you'll work on ads targeting, relevance modeling, auction optimization, measurement, and user experience. Leverage data to drive advertiser value and collaborate with cross-functional teams to build impactful solutions.

Rackspace logo

Data Scientist Intern

Rackspace

Location
Mexico
Posted

Data Scientist Intern - Analyze data, build predictive models, and extract insights for AI product development

Whatnot logo

Data Scientist - Product Analytics

Whatnot

Location
United States of America
Posted
Salary Range
158k - 205k USD

Data Scientist - Product Analytics at Whatnot: drive growth and improve user experience through data science methodologies

Alma logo

Lead Data Scientist - Analytics

Alma

Location
United States of America
Posted
Salary Range
170k - 190k USD

Lead data-driven initiatives at Alma to enhance customer acquisition and optimize marketing strategies through statistical analysis, A/B testing, and cross-functional collaboration with Product, Engineering, and Marketing teams. Utilize SQL and R/Python for impactful projects.

Rackspace logo

Data Scientist

Rackspace

Job Location

Job Summary

We are seeking a Data Scientist to work with customers and our team to enable innovation through continuous deployment across technology stacks. The ideal candidate will have hands-on experience in data mining and predictive analytics, strong analytical and problem-solving skills, and expertise in modern ML frameworks such as Scikit Learn, PyTorch or TensorFlow. As a full spectrum AWS integrator, you will work on building data science pipelines that include building models, A/B testing, natural language processing, computer vision and AR/VR visualizations. You will deliver ML models and pipelines that solve real-world business problems while leveraging ML Ops best practices. We offer flexible remote work options, $4,000/year travel stipends, and equity in a fast-growing company. Our team is passionate about solving complex business problems every day and building great technology solutions that impact our customers' success.

As a full spectrum AWS integrator, we assist hundreds of companies to realize the value, efficiency, and productivity of the cloud. We take customers on their journey to enable, operate, and innovate using cloud technologies – from migration strategy to operational excellence and immersive transformation.
 
If you like a challenge, you’ll love it here, because we’re solving complex business problems every day, building and promoting great technology solutions that impact our customers’ success. The best part is, we’re committed to you and your growth, both professionally and personally. 

Overview

    • Our Data Scientists are experienced technologists with technical depth and breadth, along with strong interpersonal skills. In this role, you will work directly with customers and our team to help enable innovation through continuous, hands-on, deployment across technology stacks. You will work to build data science pipelines that include building models, A/B testing, natural language processing, computer vision and AR/VR visualizations. You will deliver ML models and pipelines that solve real-world business problems, while leveraging ML Ops best practices, to ensure successful deployment of ML models and application code You will leverage cloud-based architectures and technologies to deliver optimized ML models at scale You will use programming languages like Python and work with popular ML frameworks like Scikit Learn, TensorFlow etc..
    • If you get a thrill working with cutting-edge technology and love to help solve customers’ problems, we’d love to hear from you. It’s time to rethink the possible. Are you ready?

Responsibilities & Tasks

    • Manipulating complex, large and dense datasets with big data tools; must be comfortable with SQL and large database systems
    • Build complex data transformation code
    • Build complex SQL queries using MongoDB, Oracle, SQL Server, MariaDB, MySQL
    • Ability to work with structured and unstructured data sets
    • Deep experience with R or Python, SQL and running ETL jobs
    • Ability to apply supervised and unsupervised machine learning techniques
    • Using modern ML frameworks such as SKLearn, PyTorch or TensorFlow
    • Data labelling, categorization, and structuring techniques
    • Ability to break down and clearly define problems
    • Ability to communicate highly technical results to a diverse audience
    • Excellent analytical and problem-solving skills

Qualifications & Experience

    • 5+ years of hands-on experience in data mining and predictive analytics with statistical modelling techniques
    • 5+ years of experience in networking, infrastructure, or database architectures
    • Experienced with Python and modern ML frameworks such as SKLearn, PyTorch or TensorFlow
    • Experience working with data in the AWS ecosystem
    • Experience with advanced data science tools
    • Experience applying computational algorithms and statistical methods to structured and unstructured data
    • MS or PhD in Applied Mathematics, Physics, Computer Science, Statistics, or related technical field
    • AWS certifications
    • SQL
    • Artificial Intelligence
    • Predictive Analytics
    • Tableau or other visualization tools
    • Kafka / Confluent
    • CI / CD and Cloud Native Computing (Docker, Kubernetes, Consul, Vault)
    • #LI-JB2
    • #LI-Remote
#LI-JB2
#LI-Remote

About Rackspace Technology
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future.
 
 
More on Rackspace Technology
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.