Remote Data Science Jobs

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🔥 Senior Data Scientist- Brand Experience, remote across ANZ

Posted 1 day ago

📍 Australia, New Zealand

🔍 Software Development

🔧 Requirements

Drive impact with data
Excel in core data science skills
Demonstrate key soft skills
Bring additional technical expertise
Have a strong analytical foundation
Understand the dynamics of tech companies
Have hands-on experience with large-scale data

💡 Responsibilities

Uncovering strategic insights
Designing and analyzing experiments
Defining and influencing with metrics
Providing data for decision-making

Python SQL Data Analysis Data Mining Machine Learning Numpy Tableau Product Analytics Algorithms Data science Data Structures Pandas Communication Skills Analytical Skills Data visualization Data modeling Data analytics A/B testing

Posted 1 day ago

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🔥 Senior Analyst, Internal Audit - Data Scientist (L09)

Posted 2 days ago

📍 India

🧭 Full-Time

🔍 Internal Audit

🏢 Company: careers

🔧 Requirements

Minimum 3+ years of experience writing and optimizing SQL/SAS queries in a business environment or 5+ years of experience in lieu of a degree
Knowledge of data warehouse technical architecture, ETL and analytic tools in extracting unstructured and structured data
Experience in building algorithms and coding proficiency in Python is required
Experience with visualization software Tableau or Power BI
Experience managing, moving, and manipulating data from multiple sources
Familiar with segmentation techniques such as decision trees or k-means clustering
Familiar with model development techniques such as logistic regression, random forest, or gradient boosting
Ability to provide analytic support including pulling data, preparing analysis, interpreting data, making strategic recommendations, and presenting to client/product team
Ability to clearly explain technical and analytical information (verbally, written, and in presentation form) and summarize for key stakeholders
Outstanding communications, relationship building, influencing, and collaboration skills
Strong project management, communications, multi-tasking, ability to work independently

💡 Responsibilities

Deliver advanced analytics to support the audit plan, including cycle audits, issue validation, remediation activities and special projects
Design and deploy analytic scripts and dashboards to communicate actionable insights to audit stakeholders.
Document analytic results and findings into audit workpapers.
Ensure the accuracy and integrity of data used in audit engagements through data transformation techniques.
Deploy automation on repetitive audit tasks using data analytics and data engineering techniques.
Collaborate with Internal Audit teams to understand audit test objectives and data requirements.
Collaborate with remediation teams to ensure data insights are effectively integrated into action plans.
Lead projects from beginning to end, including ideation, data mining, strategy formulation, and presentation of results and recommendations.

Python SQL Data Analysis Data Mining ETL Excel VBA Machine Learning Numpy SAS EG Tableau Algorithms Data engineering Data science Pandas RESTful APIs MS Office Data visualization Data modeling

Posted 2 days ago

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🔥 Specialist, Global Benefits - Total Rewards

Posted 2 days ago

📍 United States of America

🧭 Full-Time

💸 90000.0 - 120000.0 USD per year

🔍 Elevator and Escalator Manufacturing

🔧 Requirements

A bachelor’s or associate’s degree
A minimum of five years of experience in benefits or related human resources administration and/or a combination of both
Knowledge and proficiency with Microsoft Office tools, including Word, Excel, Visio, Outlook, and PowerPoint
Strong project management and organizational skills
Excellent analytical and problem-solving skills
An understanding of the employee benefit delivery supply chain
Knowledge of various benefit-related legislation (e.g., ERISA, PPACA, COBRA, HIPAA, FMLA)
A solutions-focused approach toward everyday matters
A willingness to flex, adapt, and succeed in a dynamic, fast-paced environment
Strong interpersonal, verbal, and written communication skills
Experience in the preparation of effective presentations and speaking to large audiences

💡 Responsibilities

Develops strong working relationships with internal and external customers
Supports all aspects of North American health & welfare benefits and savings plan administration, as well as global benefit administration
Manages supplier relationships and programs and monitors performance and deliverables, potentially including but not limited to, Otis’ benefits administrator and other select vendor responsibilities
Lead point of contact for benefits escalations - partners with Otis HR shared services, payroll, and HRBPs to work towards resolution
Assists with the planning and execution of U.S. Annual Enrollment, year-end payroll testing, compliance filings, and plan audits
Creates standard work and process maps to document key processes and identifies and implements process improvement opportunities with Otis’ HR shared services
Partners closely with internal and external resources to develop various benefits communications materials
Supports various reporting and analysis
Delivers benefits program trainings to various audiences
Leads and supports special benefit related projects, as assigned

Project Management Data Analysis Data Mining HR Management Communication Skills Analytical Skills Microsoft Excel Microsoft Office Organizational skills Compliance Microsoft Office Suite Interpersonal skills Reporting Training Budgeting Process improvement Financial analysis

Posted 2 days ago

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🔥 AI Solution Manager - AI & Cloud

Posted 3 days ago

📍 United States, Canada

🧭 Full-Time

💸 138900.0 - 247504.97 USD per year

🔍 Software Development

🔧 Requirements

Strong understanding of AI technologies, including machine learning, deep learning, data analytics, cloud computing, edge computing, and related hardware and software solutions.
Experience in sales or business development in the channel. Experience working in distribution is preferred.
Experience working with solutions from IBM, Nvidia, Microsoft, and other vendors relevant to Arrow’s line card.
Hands-on systems experience in data storage, virtualization, business intelligence, AI is preferred.
Ability to design and recommend technical solutions for customer use cases and challenges.
Strategic thinking and ability to align technology solutions with VAR and end-customer business objectives throughout different industries (healthcare, manufacturing, retail, etc.)
Excellent presentation, negotiation, and interpersonal communication abilities.
Proven ability to simplify complex technologies for non-technical audiences.
Self-driven and motivated to help VARs succeed in selling and implementing AI solutions.
Adaptable and willing to learn about new products and technologies as they emerge.
Collaborative mindset to work with diverse stakeholders (VARs, vendors, Arrow teams).
Certification in AI technologies or related fields is a plus (e.g., Nvidia Deep Learning Institute certifications, Microsoft Azure AI certifications, IBM AI certifications)

💡 Responsibilities

Educate VARs about AI solutions on the Arrow line card, including products and services from IBM, Nvidia, Microsoft, and others.
Provide technical training, certifications, and workshops to upskill VAR teams and ensure they are equipped to sell and deploy solutions.
Collaborate with VARs to create tailored business growth plans, including identifying key industries and customer segments for AI adoption.
Help VARs build solution offerings that address customer needs, leveraging AI technologies effectively.
Work with VARs to design solutions that meet specific customer requirements, integrating AI technologies across cloud, edge computing, data analytics, and hardware platforms.
Provide technical assistance and ensure solutions are optimized for end-users.
Build and maintain strong relationships with VARs, understanding their business models, strengths, and challenges.
Foster collaboration between VARs and technology vendors like IBM, Nvidia, and Microsoft.
Support VARs in developing marketing strategies and campaigns for AI solutions.
Co-create sales enablement tools, product collateral, and demos to help VARs effectively position AI solutions to their customers.
Promote Arrow's line card and ecosystem capabilities to VARs, ensuring they understand the breadth of offerings available.
Drive adoption of Arrow’s tools, resources, and programs to simplify VAR workflows and improve profitability.
Provide market feedback to Arrow and technology vendors regarding product needs, gaps, and opportunities identified by VARs.
Stay updated on industry trends and emerging AI technologies to keep VARs ahead of the competition.
Track and report VAR performance metrics, including revenue growth, solution deployment success rates, and customer satisfaction.
Identify areas for improvement and additional support needed to drive mutual success.

AWS Project Management SQL Artificial Intelligence Business Development Cloud Computing Data Mining Machine Learning Microsoft Azure Salesforce CI/CD Agile methodologies RESTful APIs Presentation skills Excellent communication skills Negotiation skills Sales experience Market Research Strategic thinking Data analytics

Posted 3 days ago

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🔥 Data Analyst

Posted 3 days ago

📍 US, CA, LATAM

🧭 Full-Time

🔍 Sleep Fitness

🏢 Company: Eight Sleep

🔧 Requirements

Minimum 2+ years experience as a Data Analyst, Data Scientist, Analytics Engineer or similar technical role
Expert-level knowledge of SQL, experience using Python or R is a plus
B.S. degree in Computer Science, Engineering, Business, Finance, Mathematics, Statistics, Economics, or other quantitative field preferred
Advanced knowledge of end-to-end data infrastructure, including using data pipeline tools, data transformation tools such as DBT and data warehousing best practices
Expert knowledge of business intelligence tools such as Looker, Tableau, and Google Sheets/Excel
Familiarity with SQL and data visualization tools to synthesize complex information.
A data-driven approach to performance marketing and experience utilizing large data sets to inform strategic decision making
Highly effective written and verbal communication skills
Ability to translate complex findings into actionable insights
Be an Independent self-starter who thrives in a fast-paced environment and is comfortable owning a high level of responsibility

💡 Responsibilities

Assist in managing our data warehouse; building and maintaining data pipelines, data models and automating workflows
Analyze large datasets, build and develop dashboards, memos, and presentations to provide actionable insights that inform strategic decisions
Drive automation and lead implementation of AI tools
Convey complex analytical findings in a clear and concise manner to non-technical audiences, including executives.
Ensure data accuracy, integrity, and security through consistent data validation processes and governance practices.
Ad hoc support for cross-functional initiatives
Be an Independent self-starter who thrives in a fast-paced environment and is comfortable owning a high level of responsibility

Python SQL Business Intelligence Data Analysis Data Mining ETL Tableau Analytical Skills Microsoft Excel Written communication Excellent communication skills Reporting Data visualization Financial analysis Data modeling Data analytics Data management

Posted 3 days ago

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🔥 Product Data Scientist

Posted 4 days ago

📍 United States, Canada

🧭 Full-Time

💸 140000.0 - 180000.0 USD per year

🔍 Video Gaming

🏢 Company: thatgamecompany👥 101-250💰 about 3 years agoDeveloper Tools Video Games Console Games Family MMO Games Social Network Mobile Online Games

🔧 Requirements

3+ Years of Experience applying Data Science methodologies to product development
Strong understanding of machine learning and statistical methods, including classical ML, deep learning, NLP, and anomaly detection.
Expertise in statistical concepts such as experimental design, hypothesis testing, regression, classification, and clustering
Proficiency in writing clean, efficient code in Python, Java, or Typescript
Experience writing optimized SQL Queries to build and analyze datasets
Familiarity with modern Cloud Platforms (preferably GCP)
Exposure to big data processing tools like BigQuery, Redshift, Snowflake, Spark, and Beam
Strong communication skills, desire to understand the data you’re using, and the ability to explain what you built and why you built it
Willingness to continuously learn, adapt, and step outside of your comfort zone.

💡 Responsibilities

Comb through large sets of game telemetry data to uncover player relationships, feature usage trends, security threats, inefficiencies, and opportunities to improve the player or developer experience.
Design and test innovative solutions to improve new player retention through data-driven insights and automation
Develop novel solutions to identify, surface, and mitigate non-human bot activity
Translate data-driven solutions into product features to automate and share our innovations
Give a presentation to help talk through some unintuitive discoveries from one of your data models

Python SQL Cloud Computing Data Analysis Data Mining GCP Kubernetes Machine Learning Data science Spark Data visualization Data modeling

Posted 4 days ago

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🔥 Senior Data Analyst

Posted 4 days ago

📍 Brazil, the U.S., and Canada

🧭 Full-Time

🔍 Payments

🔧 Requirements

Proven experience in data analytics: A strong track record of delivering impactful insights and recommendations through data analytics techniques.
Solid understanding of statistical methodologies: Experience applying statistical inference, regression analysis, hypothesis testing and other relevant techniques.
Strong proficiency in SQL: Ability to write complex queries to extract and manipulate data from various data sources.
Experience with data visualization tools: Proficiency in creating insightful and actionable dashboards. Experience with Amazon QuickSight is a plus.
Excellent communication and presentation skills: Ability to effectively communicate complex analytical findings to both technical and non-technical audiences.
Strong problem-solving and critical thinking skills: Ability to define problems, develop hypotheses, and interpret analytical results to drive business value.
Business acumen: Ability to understand business objectives and translate them into analytical questions and solutions.

💡 Responsibilities

Lead complex analytical projects: Define problem statements, formulate hypotheses, and execute rigorous analysis to uncover key trends, patterns, and opportunities across various business functions
Develop strategic insights and recommendations: Translate complex data findings into clear, concise, and actionable recommendations for business stakeholders and leadership.
Collaborate with business partners: Work closely with business leaders to understand their strategic priorities and identify areas where analytics can provide significant impact.
Design and implement advanced analytical models: Utilize statistical techniques, machine learning concepts, and data mining methodologies to build predictive models, segmentation strategies and other advanced analytical solutions.
Data Visualization: Effectively communicate analytical findings and recommendations through compelling presentations and insightful dashboards using Amazon QuickSight.
Drive data literacy and adoption: Champion a data-driven culture within the organization by sharing knowledge, best practices and promoting the use of data in decision-making.

Python SQL Data Analysis Data Mining Machine Learning Communication Skills Analytical Skills Problem Solving Data visualization

Posted 4 days ago

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🔥 Senior Data Scientist

Posted 5 days ago

📍 Germany, Austria

🏢 Company: Storyblok👥 101-250💰 $80,089,317 Series C 10 months agoInternet CMS IaaS Web Hosting Web Development PaaS Information Technology Web Design Software

🔧 Requirements

Proficiency in programming languages such as Python or R, and experience with SQL for data manipulation
Strong analytical and critical thinking skills with a keen attention to detail
Solid understanding of machine learning algorithms and experience applying them to real-world problems

💡 Responsibilities

Lead the development and implementation of advanced statistical and machine learning models to extract insights and drive business decisions
Collaborate with cross-functional teams to understand business challenges and develop data-driven solutions
Mentor and guide junior team members and Data Champions from other divisions, fostering a data-driven culture and enabling teams to leverage analytics effectively

AWS Python SQL Apache Airflow Cloud Computing Data Analysis Data Mining ETL GCP Machine Learning MLFlow Numpy Tableau Algorithms Azure Data engineering Data science Pandas Spark Tensorflow Communication Skills Data visualization Data modeling Data analytics A/B testing

Posted 5 days ago

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🔥 Customer Experience Strategy Manager

Posted 7 days ago

📍 United States

🧭 Full-Time

💸 106802.5 - 179500.0 USD per year

🔍 B2B SaaS

🏢 Company: Samsara👥 1001-5000💰 Secondary Market over 4 years ago🫂 Last layoff almost 5 years agoCloud Data Services Business Intelligence Internet of Things SaaS Software

🔧 Requirements

5+ years direct experience in Customer Experience, Customer Insights, Partner Experience, or Market Research in a B2B SaaS or Fortune 500 Company.
Experience managing global customer or partner listening posts, such as NPS programs, advisory boards, transactional survey programs, or event-based surveys.
Knowledge of a variety of survey design and research methods.
Experience using R programming or Stata for statistical analysis on customer experience data.
Experience running churn and predictive models based on customer experience data.
Experience in analyzing and interpreting a mix of qualitative and quantitative data, constructing compelling narratives, and providing recommendations on complex topics.
Experience applying statistical techniques and working knowledge of statistics concepts.
Experience in building trusting relationships and influencing others (including executive audiences).
Strong analytical and logical reasoning skills; deep sense of curiosity.
Comfort in a fast-paced environment, managing multiple projects simultaneously.
Willingness to roll up your sleeves; no task is too big or small.
Demonstrated passion for Customer Experience and acting as an advocate for customers.
Strong presentation skills, able to convey complex ideas in a clear, concise manner both verbally and in writing, comfortable in business and technical discussions. Ability to synthesize a broad set of information into a cohesive narrative.
Experience using Qualtrics, Medallia, or similar enterprise-level experience management platforms.

💡 Responsibilities

Build a world-class customer listening infrastructure
Design and lead new and emerging Voice of Customer (VoC) programs that provide the organization with actionable customer experience insights. This includes survey design and operations, reporting, analysis, and managing the closed loop process.
Lead internal change management and training efforts related to new VoC programs.
Derive actionable insights from quant and qual customer data. Top line and in-depth analysis of customer data to determine significance of trends, key drivers of customer experience, and impact on business and customer health.
Drive systemic customer experience improvements. Facilitate cross-functional insight reviews and action-planning meetings with internal stakeholders to drive customer experience improvements. Lead efforts targeting key customer pain points to optimize the customer experience, working cross-functionality to integrate quantitative and qualitative feedback to determine, design and implement strategic solutions.
Build and drive a robust closed loop process, ensuring world-class 1:1 follow up with our customers based on their feedback and issue resolution in real-time.
Support the implementation of a customer experience management platform, which will centralize all channels of customer feedback into one tool.
Operationalize a customer-centric culture at Samsara. Inspire the organization to listen, understand and act on customer feedback as an effective data-driven storyteller.
Be a CX thought leader. Bring industry leading trends, technologies, best practices to Samsara to continually stay best in class on customer experience programs and approaches.
Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

SQL Data Analysis Data Mining Tableau Communication Skills Analytical Skills Problem Solving Market Research Data visualization Stakeholder management Data modeling Change Management Customer Success PowerPoint

Posted 7 days ago

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