focus on applications in text analysis or scientific data, including knowledge of forecasting, A/B testing, entity extraction, and feature engineering. Proficiency in programming languages such as Python, R, and SQL, and data analysis libraries (e.g., Pandas, NumPy, SciPy, Tidyverse). Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, NLTK). Experience with NLP More ❯
Detail orientated ac approach to problem-solving Sense of responsibility Critical and constructive thinking Logical and methodical reasoning Communicate with clarity and purpose And these skills: Fluent in either R or Python for data science; competence in both is desirable Fluent in SQL (any flavour) for analysis; DBA experience is beneficial Experienced in applying a broad range of data science More ❯
with proven strong commercial acumen It's great if you have: Experience in digital or social media marketing Experience in hypothesis testing frameworks, statistical analysis, and using Python/R for data manipulation and analysis. data representation data analysis SQL data analytics analytics python (programming language) data mining data science r (programming language) tableau analytical skills data visualization databases business More ❯
Norfolk, Virginia, United States Hybrid / WFH Options
Cydecor
stakeholders to refine software requirements and ensure alignment with customer objectives. Analyze and process internal and external data, applying statistical methodologies to drive insights. Use tools such as Python, R, and SQL for data analysis and modeling. Develop visual analytics products to support customer requirements using Qlik, Power BI, or IBM Cognos. Collaborate with data engineers and leverage platforms like … experience analyzing and modeling data related to military force readiness. Proficiency Structured Query Language (SQL) 4+ years producing analysis and visual products using any combonation of the following: Python, R, Power BI, IBM Cognos and/or Qlik. Natural curiosity to explore data and uncover patterns, anomalies and insights. Precision in handling data to ensure accuracy and reliability. Openness to More ❯
of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems and cloud platforms (Azure or AWS preferred) Comfortable working in a More ❯
of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems and cloud platforms (Azure or AWS preferred) Comfortable working in a More ❯
of regression, classification, and machine learning algorithms, with experience applying them in real-world settings Passion for sports analytics, with previous working experience an advantage Proficient in Python or R, with good SQL skills Familiarity with coding best practices (version control, testing, documentation) Experience working with relational database systems and cloud platforms (Azure or AWS preferred) Comfortable working in a More ❯
of data sets through the use of scripts or algorithms Required Skill Sets: • E xperience programming or scripting and debugging in one or more languages such as: Python, Javascript, R, SQL, Scala, etc. • Proficiency with data mining, mathematics, and statistical analysis demonstrated with hands-on academic and project experience conducting statistical analysis, testing, and modeling using regression analysis, linear regression More ❯
and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data sources. Implement data integration patterns and best practices. Work with API developers to More ❯
and other relevant services. Implement best practices for Databricks development and deployment. Optimise Databricks workloads for performance and cost. Need to program using the languages such as SQL, Python, R, YAML and JavaScript Data Integration: Integrate data from various sources, including relational databases, APIs, and streaming data sources. Implement data integration patterns and best practices. Work with API developers to More ❯
e.g., STEM, Maths, Statistics, Physics) or equivalent experience. Experience in an analytical role, preferably within the gambling or gaming industry. Proficiency in SQL and at least one of Python, R, or SAS. Knowledge of data visualisation tools, preferably PowerBI. Ability to analyse large datasets and translate findings into actionable insights. Strong communication, collaboration, and presentation skills. Passion for learning new More ❯
volumes for customer service. Qualifications Masters with 5+ years or Bachelors with 8+ years in a quantitative field (e.g., CS, Math, ML, Stats, Operations Research). Proficiency in Python, R, or similar scripting languages; experience with SQL, MySQL, and databases. Expertise in machine learning, statistics, and optimization, including linear programming. Experience with statistical measures such as hypothesis testing, confidence intervals More ❯
in Data Analytics, Engineering, Computer Science, or related discipline (or equivalent experience). Desirable Skills: Knowledge of Power Platform (Power Automate, Power Apps). Experience with Azure, Python, or R for advanced analytics. Exposure to BIM, digital twin, or smart infrastructure technologies. To discuss in more detail please call Billy Mitchell at Advance TRS, or apply directly. We are an More ❯
Knowledge : Understanding of data from supply chain software like SAP IBP, SAP APO, and SAP ECC. Technical Skills : Proficient in SQL, with strong preference for experience in Python or R; exposure to automation tools (RPA) is preferred. Agile Methodologies : Experience in Agile (certifications preferred), with a track record of leading scrums and supporting delivery teams. Project Management : Familiarity with project More ❯
teams to develop scalable business processes and data pipelines to support our clients • Develop data models, analytics and reporting using capabilities such as Legend Studio, Snowflake, Alteryx, SQL, Tableau, R, Python • Manage prioritization and stakeholder engagement to maximize delivery towards established business goals. BASIC QUALIFICATIONS • Minimum of 4 years of experience in Business Intelligence, Data Engineering or Data Analytics fields More ❯
to-Have Skills: Familiarity with A/B testing and experimentation. Experience working with data warehouses and ETL pipelines. Experience with Power BI and DAX. Exposure to Python or R for data analysis. Experience in a product-driven or SaaS company. What we offer you Remote & flexible working - Work from wherever (and whenever) you are happiest. Learning & growth support - We More ❯
and coaching Data Scientists/Data Analysts Experience of managing multiple senior stakeholders A broad understanding of data science, BI and analytics tools and languages, such as Tableau, SQL, R, Python In-depth experience of applying analytics/data science techniques including the use of predictive modelling, data mining and/or the analysis of large data sets Experience of More ❯
data management, data preparation, data governance and analytic development and production Must have in-depth experience with at least two of the following advanced scripting languages and tools; Python, R, SQL, Lucene, Jupyter, Pig, Scala, ELK Stack, Splunk, PowerBI, or Jupyter Notebooks Compensation Range: $186,000 - $245,000 _ Compensation ranges encompass a total compensation package and are a general guideline More ❯
see from you: Proficiency in SQL, advanced Excel, and data visualisation tools like Power BI or Tableau. Strong experience in statistical analysis and programming using tools like Python or R for advanced data manipulation, automation, and analysis. Exceptional ability to identify trends, provide actionable insights, and contribute to strategic decision-making. Experience in senior or leadership data analyst role. Experience More ❯
see from you: Proficiency in SQL, advanced Excel, and data visualisation tools like Power BI or Tableau. Strong experience in statistical analysis and programming using tools like Python or R for advanced data manipulation, automation, and analysis. Exceptional ability to identify trends, provide actionable insights, and contribute to strategic decision-making. Experience in senior or leadership data analyst role. Experience More ❯
queries joining multiple datasets, ETL DW concepts - Experience in Excel (macros, index, conditional list, arrays, pivots, lookups) - Experience scripting for automation (e.g., Python, Perl, Ruby) - Experience using Python or R for data analysis or statistical tools such as SAS - Experience using statistical tools such as Minitab - Experience with reporting and Data Visualization tools such as Quick Sight/Tableau/ More ❯
Sense. Past project/experience analyzing financial datasets or proven past experience working on financial market concepts. Demonstrable experience in Data Profiling/Analysis using tools such as Python, R, or SQL. Extensive experience in communicating results in a clear, concise manner using data visualization tools. Demonstrated ability taking a logical approach and applying critical thinking skills in order to More ❯
presentation. Excellent communication skills - able to translate technical details into business language. Self-motivated, curious, and unafraid to ask questions or dig deep to find answers. Comfortable with Python, R, or similar languages for deeper analysis (preferred but not required). Bonus Points Experience working in the travel, hospitality, or marketplace space. Previous OKR ownership or strategic metric accountability. Proven More ❯
rounded professional. BASIC QUALIFICATIONS 2+ years of data scientist experience and 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience. Experience applying theoretical models in an More ❯
into a better-rounded professional. - 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience - Experience applying theoretical models in an More ❯
