Pandas Job Salaries

Find salary information for remote positions requiring Pandas skills. Make data-driven decisions about your career path.

Pandas

Median high-range salary for jobs requiring Pandas:

$211,400

This analysis is based on salary ranges collected from 40 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $161,500 - $211,400

25% of job descriptions advertised a maximum salary above $250,000.
5% of job descriptions advertised a maximum salary above $303,900.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include Algorithms, Data Analysis and Machine Learning. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

Algorithms
50% jobs mention Algorithms as a required skill. The Median Salary Range for these jobs is $173,650 - $236,494
- 25% of job descriptions advertised a maximum salary above $273,550.
- 5% of job descriptions advertised a maximum salary above $309,450.
Data Analysis
43% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $170,000 - $232,988
- 25% of job descriptions advertised a maximum salary above $274,075.
- 5% of job descriptions advertised a maximum salary above $303,900.
Machine Learning
68% jobs mention Machine Learning as a required skill. The Median Salary Range for these jobs is $172,000 - $225,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $305,565.
Communication Skills
40% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $172,050 - $220,500
- 25% of job descriptions advertised a maximum salary above $273,550.
- 5% of job descriptions advertised a maximum salary above $303,900.
Numpy
63% jobs mention Numpy as a required skill. The Median Salary Range for these jobs is $170,000 - $215,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $300,975.
Python
100% jobs mention Python as a required skill. The Median Salary Range for these jobs is $161,500 - $211,400
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $303,900.
Data science
43% jobs mention Data science as a required skill. The Median Salary Range for these jobs is $170,000 - $210,000
- 25% of job descriptions advertised a maximum salary above $254,275.
- 5% of job descriptions advertised a maximum salary above $303,900.
SQL
75% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $160,000 - $206,950
- 25% of job descriptions advertised a maximum salary above $240,000.
- 5% of job descriptions advertised a maximum salary above $303,900.
Collaboration
35% jobs mention Collaboration as a required skill. The Median Salary Range for these jobs is $150,000 - $190,000
- 25% of job descriptions advertised a maximum salary above $218,000.
- 5% of job descriptions advertised a maximum salary above $250,000.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Software Development, Cybersecurity and Autonomous vehicle technology. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

Software Development
18% jobs are in Software Development industry. The Median Salary Range for these jobs is $178,689 - $240,000
- 25% of job descriptions advertised a maximum salary above $250,000.
- 5% of job descriptions advertised a maximum salary above $280,000.
Cybersecurity
8% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $163,000 - $215,000
- 25% of job descriptions advertised a maximum salary above $275,000.
- 5% of job descriptions advertised a maximum salary above $295,000.
Autonomous vehicle technology
3% jobs are in Autonomous vehicle technology industry. The Median Salary Range for these jobs is $177,300 - $212,800
E-Commerce
5% jobs are in E-Commerce industry. The Median Salary Range for these jobs is $187,500 - $212,500
- 25% of job descriptions advertised a maximum salary above $315,000.
AI and Quantum technology
3% jobs are in AI and Quantum technology industry. The Median Salary Range for these jobs is $133,000 - $210,000
Mental Health
5% jobs are in Mental Health industry. The Median Salary Range for these jobs is $172,500 - $207,500
- 25% of job descriptions advertised a maximum salary above $215,000.
Cryptocurrency and blockchain technology
3% jobs are in Cryptocurrency and blockchain technology industry. The Median Salary Range for these jobs is $175,100 - $206,000
Biomedical and bioinformatics
3% jobs are in Biomedical and bioinformatics industry. The Median Salary Range for these jobs is $125,000 - $145,000
Criminal Justice
3% jobs are in Criminal Justice industry. The Median Salary Range for these jobs is $97,000 - $97,000
Artificial Intelligence / Natural Language Processing
3% jobs are in Artificial Intelligence / Natural Language Processing industry. The Median Salary Range for these jobs is $30,000 - $45,000

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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🔥 Director of Machine Learning

Posted 3 days ago

📍 US

💸 220000.0 - 250000.0 USD per year

🔍 Software Development

🏢 Company: Inspiren👥 11-50💰 $2,720,602 over 2 years agoMachine Learning Analytics Information Technology Health Care

🔧 Requirements

8+ years of professional experience in machine learning, software engineering, or a similar domain
5+ years with machine learning algorithms, model development, and model deployment
5+ years of experience with computer vision
1+ years of experience with generative AI
5+ years of demonstrated ability to provide technical leadership, mentor team members, and drive consensus among diverse stakeholders
3+ years in advanced algorithm design and analysis
Proficiency in Python, R, or Scala languages for data science
Experience with TensorFlow, Keras, or PyTorch for neural network modeling
Ability to optimize machine learning models for performance
Proven track record of deploying machine learning models into production

💡 Responsibilities

Develop strategic goals for machine learning that are in sync with current industry trends and Inspiren’s business objectives.
Oversee the design of innovative machine learning models and algorithms, and refine existing ones to enhance performance and accuracy.
Mentor and nurture the professional growth of senior machine learning experts.
Drive innovative research and development in machine learning to keep our technology at the forefront.

Python Data Analysis Image Processing Keras Machine Learning Numpy PyTorch Algorithms Data Structures Pandas Tensorflow Scala Data modeling

Posted 3 days ago

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🔥 Data Science Manager

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 217000.0 - 303900.0 USD per year

🔍 Data Science

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff almost 2 years agoNews Content Social Network Social Media

🔧 Requirements

Experience in driving product strategy and roadmaps through analytics, ideally for consumer technology products and marketplaces
Experience with a team of 5+ data scientists.
Expertise in causal inference, A/B testing experimentation, metric definition and governance, and product strategy
Proficiency in SQL and Python/R

💡 Responsibilities

Drive the adoption of strategic and tactical recommendations that are based on (1) deep and hands-on experience with Reddit products, and (2) data skills and understanding, to maximize our value to Reddit consumers.
Serve as a thought-partner for product managers, engineering managers and leadership from your respective product domain, communicating and shaping the roadmap and strategy for Reddit by identifying actionable and impactful insights through deep-dive analyses and analytics insights.
Be proactively involved in all phases of product development, including but not limited to, ideation, exploratory analysis, opportunity sizing, metrics design, offline modeling, experimentation and decision-making, post-launch monitoring/measurements etc.
You will have a keen interest in the collection and quality of underlying data (experiment design and analysis, data deep dive), along with working on ETLs, reporting dashboards and data aggregations needed for business tracking and/or ML model development.

Leadership Python SQL Data Analysis ETL Machine Learning People Management Product Management Cross-functional Team Leadership Strategy Product Analytics Algorithms Data science Pandas Communication Skills Analytical Skills Data visualization A/B testing

Posted 3 days ago

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🔥 Staff Data Scientist, Ads Experimentation

Posted 5 days ago

📍 United States

🧭 Full-Time

💸 217000.0 - 303900.0 USD per year

🔍 Digital Advertising

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff almost 2 years agoNews Content Social Network Social Media

🔧 Requirements

M.S.: 10+ years of industry data science experience, emphasizing experimentation and causal inference.
Ph.D.: 6+ years of industry data science experience, emphasizing experimentation and causal inference
Master's or Ph.D. in Statistics, Economics, Computer Science, or a related quantitative field
Expertise in experimental design, A/B testing, and causal inference
Proficiency in statistical programming (Python/R) and SQL
Demonstrated ability to apply statistical principles of experimentation (hypothesis testing, p-values, etc.)
Experience with large-scale data analysis and manipulation
Strong technical communication skills for both technical and non-technical audiences
Ability to thrive in fast-paced, ambiguous environments and drive action
Desire to mentor and elevate data science practices
Experience with digital advertising and marketplace dynamics (preferred)
Experience with advertising technology (preferred)

💡 Responsibilities

Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like Bayesian approaches and causal inference to optimize complex ad strategies
Extract critical insights through in-depth analysis, developing automated tools and actionable recommendations to drive impactful decisions Define and refine key metrics to empower product teams with a deeper understanding of feature performance
Partner with product and engineering to shape experiment roadmaps and drive data-informed product development
Provide technical leadership, mentor junior data scientists, and establish best practices for experimentation
Drive impactful results by collaborating effectively with product, engineering, sales, and marketing teams

AWS Python SQL Apache Airflow Data Analysis Hadoop Machine Learning Numpy Cross-functional Team Leadership Product Development Algorithms Data engineering Data science Regression testing Pandas Spark Communication Skills Analytical Skills Mentoring Data visualization Data modeling A/B testing

Posted 5 days ago

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🔥 Principal Software Engineer, Agentic AI (Remote)

Posted 5 days ago

📍 United States

💸 185000.0 - 295000.0 USD per year

🔍 Cybersecurity

🏢 Company: crowdstrikecareers

🔧 Requirements

6+ years of experience in leading and building SAAS and hybrid-cloud application development, at large organizations or innovative startups.
3+ years of experience with Agentic AI platforms such as Microsoft Copilot Studio, Amazon Bedrock, Google Vertex AI, Open AI etc. Experience with AI based conversational UI.
Strong programming skills in one of Python, Go, Scala or Java, with experience in building distributed systems.
Demonstrated experience in platform development (APIs, Databases, Serverless architecture) of cloud applications.
Proven expertise with algorithms, distributed systems design and the software development lifecycle.
Experience in design hybrid cloud applications with considerations of load balancing, network infrastructure and micro services architecture.
Proven ability to work effectively with remote teams.

💡 Responsibilities

Lead Agentic AI solutions including sophisticated AI agents and fine tuning & integrating with models
Play key role in design, development, and deployment AI applications using LLM's, Agentic framework, and other related technologies. Scalability, accuracy and reliability will be key success criteria.
Collaborate with enterprise teams to integrate LLM models and deliver on committed roadmaps.
Mentor team members to build and grow expertise in this domain.
Define benchmarks with metrics to evaluate the performance of agents and Agentic frameworks
Stay up to date with the latest advancements in AI, LLM, Agentic frameworks and apply this knowledge to improve existing systems and develop new ones
Tackle highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions aligned with technical vision and business objectives
Trouble shoot, isolate and fix issues found during various stages of software development including production.
Leverage advanced technology experience to further organizations tactical and strategic business objectives
Act as an advisor to leadership to influence AI development strategies

AWS Backend Development Docker Leadership PostgreSQL Python SQL Artificial Intelligence Cloud Computing Cybersecurity Data Analysis Java Keras Kubernetes Machine Learning Numpy PyTorch Software Architecture Algorithms API testing Data science Data Structures Go Serverless Pandas Spark Tensorflow Communication Skills CI/CD RESTful APIs Mentoring DevOps Microservices Scala SaaS

Posted 5 days ago

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🔥 Senior Data Scientist, Growth

Posted 8 days ago

📍 United States, Canada

🧭 Full-Time

💸 160000.0 - 200000.0 USD per year

🔍 Mobile Games

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

🔧 Requirements

4+ years in data science for consumer apps or mobile games applications.
Proven experience working with user acquisition campaigns and developing data pipelines, reporting, and visualizations.
Proficiency in Python (or R), SQL, and statistical modeling tools.
Experience with visualization tools (Looker, Tableau, or QlikView) to build compelling data stories that communicate insights effectively.
Familiarity with SKAdNetwork, mobile attribution platforms (e.g., Adjust, Singular, AppsFlyer), and methodologies like media mix modeling and incremental measurement.

💡 Responsibilities

Analyze complex datasets to identify patterns, trends, and actionable insights that support new user acquisition and organic growth.
Create and manage dashboards, visualizations, and reports to uncover trends and insights that answer both strategic and operational questions.
Collaborate with the game development team to define and collect in-game data for analysis, aligning metrics with gameplay and business goals.
Define and improve critical metrics, frameworks, and tools that help teams understand player lifecycle and optimize LTV, loyalty, retention, and return.
Implement advanced statistical and machine learning techniques to optimize user acquisition and marketing campaigns, continuously improving the team’s analytical capabilities.
Design and execute experiments (A/B and multivariate tests) to evaluate marketing efforts and generate actionable recommendations.
Develop, maintain, and enhance SKAdNetwork (SKAN) ETL pipelines, conversion value frameworks, and attribution methodologies to support data accuracy and campaign analysis.
Work cross-functionally with Engineers, Business intelligence, and analytics teams to improve data collection processes, spearheading efforts to capture meaningful metrics and streamline data implementation.

Python SQL ETL Machine Learning Algorithms Data engineering Data science REST API Pandas Data visualization Data modeling Data analytics A/B testing

Posted 8 days ago

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🔥 Machine Learning Engineer

Posted 8 days ago

📍 United States, Canada

🧭 Full-Time

💸 70168.0 - 176880.0 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 in applied Data Science or Machine Learning
Knowledge of Machine learning and Statistical methods (Classical ML, Deep Learning, NLP, and Anomaly Detection) and the ability to identify the most suitable solution for the problem
Experience building and deploying complex and scalable machine learning models in production environments, ideally in Kubernetes
Experience writing clean, efficient code in Python, Java, or Scala
Experience writing optimized SQL Queries to build and analyze datasets

💡 Responsibilities

Complete a project from start to finish. That includes requirements gathering, experimentation, model development, deployment, monitoring, documentation, support, and communication

Python SQL Data Analysis ETL GCP Kubernetes Machine Learning Numpy Algorithms Data science Data Structures REST API Pandas Spark Tensorflow Communication Skills CI/CD Problem Solving Scala Data visualization

Posted 8 days ago

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🔥 Staff, Machine Learning Engineer (L4)

Posted 10 days ago

📍 Canada

💸 172800.0 - 216000.0 CAD per year

🔍 Software Development

🏢 Company: Twilio👥 5001-10000💰 $378,215,525 Post-IPO Equity over 3 years ago🫂 Last layoff over 1 year agoMessaging SMS Mobile Apps Enterprise Software Software

🔧 Requirements

5+ years of applied ML engineering experience
Develop and Deploy AI Models: Build and deploy machine learning models leveraging NLP techniques and GenAI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base.
Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sagemaker, Lambda, S3, Kendra), MySQL, Airtable, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions.
Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zendesk to inform model development and enhance predictive accuracy.
Harness the Power of LLMs: Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative GenAI use cases and solutions

💡 Responsibilities

Develop and Deploy AI/ML Models: Build and deploy machine learning models by leveraging NLP, recommendation systems & Gen AI-powered applications, to production environments, ensuring they meet the diverse needs of Twilio's verticals and customer base.
Collaborate Across Teams: Work closely with product, program, analytics, and engineering teams to implement and refine machine learning, statistical, and forecasting models that drive business outcomes.
Utilize Advanced Technical Stack: Leverage our technical stack, including Python, SQL, R, AWS (Sage maker, Lambda, S3, Kendra), MySQL, Air table, and libraries such as Pandas, NumPy, SciKit-Learn, XGBoost, Matplotlib, and Keras, to develop robust and scalable AI/ML solutions.
Integrate Enterprise Data Sources: Effectively utilize enterprise data sources like Salesforce and Zen desk to inform model development and enhance predictive accuracy.
Harness the Power of LLMs: Apply knowledge of Large Language Models (LLMs) such as OpenAI's GPT models, Claude, Gemini, Llama, Whisper, and Groq to develop innovative Gen AI use cases and solutions

AWS Python SQL Apache Airflow Data Analysis Data Mining Keras Machine Learning MLFlow MySQL Numpy Algorithms API testing Data science REST API Pandas Tensorflow

Posted 10 days ago

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🔥 Senior AI/ML Platform Engineer II

Posted 15 days ago

📍 United States

🧭 Full-Time

💸 172000.0 - 207900.0 USD per year

🔍 Software Development

🏢 Company: dbt Labs👥 251-500💰 $222,000,000 Series D about 3 years ago🫂 Last layoff over 1 year agoArtificial Intelligence (AI)Open Source Big Data Analytics Information Technology Software

🔧 Requirements

Extensive hands-on experience in ML infrastructure, including building pipelines and frameworks from scratch.
Expertise in anomaly detection, fraud detection, predictive analytics, and confidence scoring.
Strong Python skills, with proficiency in PyTorch, TensorFlow, and Spark (PySpark preferred, not Java-based Spark).
Experience working with data warehouses (Snowflake), streaming systems (Kafka), and large-scale ML systems.
A track record of delivering production-ready ML systems—not just research or Jupyter notebooks.
Ability to thrive in a fast-paced, fully remote, distributed team environment.

💡 Responsibilities

Design and build the AI/ML infrastructure to power cost anomaly detection and predictive analytics.
Lay the foundation for ML-driven cost optimizations—detecting issues and automating remediation within dbt.
Work hands-on with Snowflake, Kafka, PyTorch, TensorFlow, Ibis, and Pandas to process billions of data points.
Collaborate cross-functionally with Product, Engineering, and Design to integrate ML models into dbt workflows.
Provide technical leadership in defining the AI/ML strategy for cost optimization and efficiency.
Influence the growth of our AI/ML engineering team as we scale.

Python SQL Kafka Machine Learning PyTorch Snowflake Data engineering Data science Pandas Spark Tensorflow Data visualization Data modeling

Posted 15 days ago

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🔥 Senior Data Analyst

Posted 15 days ago

📍 United States

🧭 Full-Time

💸 120000.0 - 150000.0 USD per year

🔍 Retirement

🏢 Company: Human Interest👥 501-1000💰 $161,000,000 Private about 2 years agoWealth Management Retirement Finance InsurTech Employee Benefits Insurance FinTech

🔧 Requirements

Minimum of 5+ years of experience using data analytics and/or data science to create business value
Deep experience with SQL and navigating complex datasets
Hands-on experience with Python and pandas
Interest and some experience in data science Python libraries such as TensorFlow, PyTorch, XGBoost, LightGBM, SciPy, and Scikit-learn
Ability to convey complex analysis in a clear and engaging manner to non-technical stakeholders
Solid understanding of statistical analysis
BA/BS in a quantitative field, such as mathematics, statistics, engineering, or natural sciences

💡 Responsibilities

Create data products that empower business leaders to make informed decisions across various domains using data science and/or complex data analysis.
Collaborating with diverse teams, you'll independently identify opportunities where data can empower business stakeholders to define and achieve their goals. Your data prowess will pave the way for groundbreaking solutions.
Leveraging DBT, you'll build immaculate and reliable data models that lay the foundation for powerful data-driven initiatives.
As a mentor, you'll inspire and guide other data analysts in harnessing the potential of data analytics and data science to drive tangible business value. Your expertise will be pivotal in nurturing a data-driven culture.
When traditional reports and dashboards fall short, you'll step up to complete complex root cause analysis. Your skills will uncover insights that redefine our approach to challenges.
Your vision will help us become truly data-driven. You'll lead the charge in adopting data-centric strategies that elevate our performance to new heights.

AWS Python SQL Data Analysis Data science Pandas Data visualization Data modeling

Posted 15 days ago

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🔥 (Senior to Principal) Machine Learning Solutions Architect

Posted 17 days ago

📍 United States, Canada

🧭 Full-Time

💸 225000.0 - 280000.0 USD per year

🔍 Software Development

🏢 Company: Gretel👥 51-100💰 $52,199,996 Series B over 3 years agoArtificial Intelligence (AI)Data Collection and Labeling Machine Learning Privacy Generative AI Information Technology Software

🔧 Requirements

5+ years of experience in a technical customer-facing role serving Enterprise customers and showcasing a track record of successful technical sales scoping, design, and implementation.
3+ years of experience working with modern machine learning frameworks and deep learning models, including fluency in Python, utilizing Colab or Jupyter notebooks, and working with open-source libraries, such as Pandas.
Experience working with data pipelines and orchestration / tooling for the modern data stack.
Previous hands on engineering experience in Data Engineering and MLOps.
Experience deploying ML models and required infrastructure set up, including Kubernetes (Amazon Elastic Kubernetes Service (EKS), Google Kubernetes Engine (GKE), and Azure Kubernetes Services (AKS)), containers, and CI/CD.
Exceptional presentation and communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
Ability to prioritize and manage multiple projects at once, across different customers with different use cases.
Willingness to travel occasionally (up to 20%) for customer meetings, conferences, and industry events, as needed.

💡 Responsibilities

Build custom prototypes and product demos utilizing Colab/Jupyter notebooks and Python libraries that highlight end-to-end operationalized use cases of Gretel.
Lead and support customers in identifying use cases, scoping, and, partnering with the broader team to ensure the successful deployment of solutions tailored to meet their specific business use cases.
Be the voice of the customer, communicating back experimental results and empirical experience gained from the field and critical for our internal applied science research.
Proactively identify opportunities in our product based on trends identified across customer needs, and build solutions to address these emerging patterns.
Conduct and guide research in the field, working with our most pioneering customers to advance what is possible with our platform.
Lead technical discovery during the sales lifecycle to deeply understand prospects’ ML and engineering requirements.
Partner with the account teams to differentiate proposed approaches versus open source and competitive solutions.
Stay up-to-date with industry trends, best practices, and advancements in generative AI, data privacy, and cloud infrastructure.
Exhibit a customer-focused mindset by prioritizing client needs, fostering strong relationships, and delivering exceptional service to ensure customer satisfaction and success.

Docker Python SQL AWS EKS Keras Kubernetes Machine Learning Numpy OpenCV PyTorch Algorithms Data engineering REST API Pandas Tensorflow Communication Skills Analytical Skills CI/CD Problem Solving Customer service Attention to detail Presentation skills Active listening Data visualization Data modeling

Posted 17 days ago

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Shown 10 out of 46

Pandas Job Salaries

Median high-range salary for jobs requiring Pandas:

Skills and Salary

Algorithms

Data Analysis

Machine Learning

Communication Skills

Numpy

Python

Data science

SQL

Collaboration

Industries and Salary

Software Development

Cybersecurity

Autonomous vehicle technology

E-Commerce

AI and Quantum technology

Mental Health

Cryptocurrency and blockchain technology

Biomedical and bioinformatics

Criminal Justice

Artificial Intelligence / Natural Language Processing

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