201 to 225 of 256 Remote Pandas Jobs

RE LOOKING FOR: 2+ years of experience as a Data Analyst or Data Scientist in IT companies. Proficiency in SQL (BigQuery experience is a plus). Solid Python knowledge (pandas, numpy at least intermediate level). Strong knowledge of statistics and probability theory. Experience with A/B testing analysis. Experience building analytical models. Understanding of cohort analysis approaches. Analytical More ❯

years of experience in data science, machine learning, or a related role Proficiency in programming languages such as Python or R, and libraries like TensorFlow, PyTorch, Scikit-learn, or Pandas Strong understanding of statistical modeling, probability, and optimization techniques Ability to work with messy, real-world datasets and perform feature engineering Excellent problem-solving skills and attention to detail Strong More ❯

Data Scientist, your background will include: 3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g. More ❯

Data Scientist, your background will include: 3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g. More ❯

Data Scientist, your background will include: 3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g. More ❯

Online Analytical Processing (OLAP) systems Creating conceptual, logical and physical data models Creating mapping specifications for data migrations Coordinating User Acceptance Testing (UAT) with business stakeholders Knowledge of Python (pandas) Experience with Cloud platforms Creating data dashboards using Tableau, PowerBI or Qlik and storytelling We expect you to work closely with the business to understand their current data problems, pain More ❯

mentorship and guidance to junior data science team members. What We're Looking For Essential Skills Python : Advanced proficiency in data manipulation, machine learning, and data science libraries (e.g., pandas, scikit-learn, TensorFlow, etc.). SQL : Strong skills in querying large datasets and optimizing performance for analysis. Machine Learning : Proven hands-on experience with various techniques including regression, classification, clustering More ❯

What We’re Looking For: At least 1 year in a Data Science role, with practical experience applying machine learning techniques. Proficiency in Python, with experience using libraries like pandas, NumPy, scikit-learn, and PyTorch. A relentless drive to push model performance boundaries, a focus on client needs, and a dedication to delivering impactful results. Familiarity with NLP concepts, transformer More ❯

mentorship and guidance to junior data science team members. What We're Looking For Essential Skills Python : Advanced proficiency in data manipulation, machine learning, and data science libraries (e.g., pandas, scikit-learn, TensorFlow, etc.). SQL : Strong skills in querying large datasets and optimizing performance for analysis. Machine Learning : Proven hands-on experience with various techniques including regression, classification, clustering More ❯

thinking skills, including the ability to challenge hypotheses, analyze and structure data, draw conclusions, and interrelate data. Proficiency in mathematical statistics and practical experience applying it. Confidence using Python (Pandas, NumPy) and experience with SQL. Ability to determine the appropriate approach to data assessment: analytics, research, or leveraging external data. At least one year of experience in data analysis or More ❯

or supply chain. Solid understanding of supervised learning, time-series forecasting, clustering , and other core ML techniques. Strong experience with SQL and querying large, complex datasets. Proficiency in Python (Pandas, scikit-learn, XGBoost, etc.); familiarity with R or dbt is a plus. Experience working with BI tools such as Looker, Tableau, or Power BI. Comfort working in high-growth environments More ❯

storytelling initiatives. Requirements You have a strong ability to analyze and interpret large datasets, uncovering meaningful trends and insights. You are proficient in SQL and experienced in using Python (pandas, numpy, matplotlib, seaborn) for exploratory data analysis and data visualization. Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive). You have experience with More ❯

Query, XLOOKUP, macros) Experience with Power BI/Fabric Strong problem-solving and critical thinking abilities Excellent communication skills and stakeholder engagement experience Familiarity with Python for data analysis (pandas, NumPy, etc.) - desirable Understanding of data warehousing, ETL, and data governance - desirable Degree in a STEM subject - nice to have Knowledge of the energy/utilities sector - a bonus Benefits More ❯

business. 12 months to 3 years of AI experience in AI/ML projects - ideally working on business solutions and workflows. Proficient with Python and libraries such as NumPy, Pandas, and one or more ML frameworks (e.g., Scikit-learn, TensorFlow, or PyTorch). Understanding of how machine learning models are trained, evaluated, and deployed. Exposure to cloud platforms (especially Azure More ❯

You'll be comfortable with cloud-based tools like AWS SageMaker and Lambda, and you'll know your way around Git, SQL, and common Python data science libraries (like pandas/polars, scikit-learn, xgboost/lightGBM, and TensorFlow/PyTorch). Bonus points if you've worked with linear programming, or have experience in time series forecasting, agent-based More ❯

storytelling initiatives. Requirements You have a strong ability to analyze and interpret large datasets, uncovering meaningful trends and insights. You are proficient in SQL and experienced in using Python (pandas, numpy, matplotlib, seaborn) for exploratory data analysis and data visualization. A big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive). You have experience More ❯

art research area (e.g. NLP, Transfer Learning etc) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust, and nonparametric statistics; hypothesis testing More ❯

art research areas (e.g., NLP, Transfer Learning, etc.), and modern Deep Learning algorithms (e.g., BERT, LSTM, etc.) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc.) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust, and nonparametric statistics; hypothesis testing More ❯

experience working with large datasets. Expertise with AWS or other cloud computing platform. Experience implementing machine learning models using Python, including familiarity with popular data science frameworks such as Pandas, Scikit-Learn. Strong problem-solving skills and ability to think creatively about complex business problems. Excellent communication skills and ability to collaborate effectively with cross-functional teams. Our company culture More ❯

both Excel visualisations and SQL, as they would be able to pick up Spotfire/Power BI) ETL (Extract Transform Load), SQL, HTML, CSS, Javascript, Teradata, Denodo, Python, RStudio, Pandas, Dplyr, SSIS What ICON can offer you: Our success depends on the quality of our people. That’s why we’ve made it a priority to build a diverse culture More ❯

experience developing and deploying 3D vision or spatial AI systems in production or real-world settings. Proficiency in Python, and familiarity with machine learning libraries such as PyTorch, NumPy, Pandas, and others. Deep understanding of evaluation methodologies for deep learning and spatial perception systems (e.g., metrics, validation strategies, ablations). Hands-on experience with SLAM/SfM systems using a More ❯

ideal candidate will have: ●Advanced knowledge of PowerBI and Excel ●Experience with database extractions using SQL and relational databases ●Basic proficiency in PowerPoint ●Familiarity with Python, particularly libraries like Pandas and Sklearn, is highly desirable ●Strong communication and presentation skills ●Confidence and willingness to engage in client facing interactions ●Ability to work independently while collaborating effectively with internal teams and More ❯

with modern data processing tools, e.g. by using Hadoop/Spark/SQL Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along with data visualisation technologies. Experience in retail sector would be an added advantage What you can expect from us We won't just meet your expectations. We More ❯

data analysis, statistics, and machine learning concepts. Proficiency in programming languages such as Python. Experience with data visualization tools like Power BI. Familiarity with data manipulation libraries such as Pandas and NumPy. Knowledge of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Excellent problem-solving skills and attention to detail. Ability to work effectively both independently and as part More ❯

REST APIs, etc.). Tuning algorithms and data pipelines for optimal performance when required. Your profile You tick the following boxes: Proficiency in Python and its data science stack (pandas, scikit-learn, Jupyter, Luigi, etc.). Strong knowledge of data mining and machine learning. Experience with optimization algorithms is a plus. A passion for writing clean, maintainable, and robust code. More ❯