Coffeyville, Kansas, United States Hybrid / WFH Options
CSL Behring
Information Technology, Mathematics, etc.) 3+ years' experience as a data scientist or similar role handling data (querying, exploring, cleaning, visualizing) Advanced SQL and Python, R or JavaScript knowledge Strong written & verbal communication Strong analytical/problem solving and organizational skills Able to work independently and as a team member across more »
routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AWS/Oracle cloud, R, Python. Additional Information Location: This role can be delivered in a hybrid nature from one of these offices Dublin, Belfast, Birmingham, Manchester, Edinburgh or London. more »
routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AWS/Oracle cloud, R, Python. Additional Information Location: This role can be delivered in a hybrid nature from one of these offices Dublin, Belfast, Birmingham, Manchester, Edinburgh or London. more »
routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching, Good knowledge of Databricks, Snowflake, Azure/AWS/Oracle cloud, R, Python. Additional Information Location: This role can be delivered in a hybrid nature from one of these offices Dublin, Belfast, Birmingham, Manchester, Edinburgh or London. more »
science, problem definition, data acquisition & wrangling, modelling, feature engineering and deployment What’s equally relevant is programming knowledge and a gift for coding using: R, Python, SQL, SAS or Spark You’ll also need the capability to deliver projects, collaborate with operational teams and be able to explain technical concepts more »
PowerBI, Looker)Solid understanding of data modeling and ETL processesProficiency in at least one programming language for data manipulation and analysis (e.g. Python - Preferred, R, Scala) Experience translating project requirements into a set of technical sub-tasks that build towards a final deliverableCommitted to continuous improvement, with a passion for more »
a software companyAdvanced SQL skills, comfortable manipulating very large datasets Strong proficiency and hands on experience in A/B TestingProficient in Python or R with a strong focus on data wrangling, data analysis, and machine-learning libraries; demonstrated ability in developing analytical toolkitsAbility to query, transform and analyze raw more »
ability to translate complex data into actionable strategies. Excellent communication skills to present data insights to stakeholders. Nice To Haves Proficiency in SQL, Python, R, or other statistical programming languages. Prior experience in media analytics, particularly within a podcasting or digital content creation environment. Knowledge of content recommendation algorithms and more »
or data scientists, managing their priorities and development with a track record of leading them in a fast-paced environment.Extensive programming ability across Python, R and strong ability to use SQL, with a proven experience of analysing data in a corporate environment.Experience working at scale and in particular with cloud more »
/PhD) in Statistics, Economics or other quantitative discipline Database marketing experience/knowledge Ability to program in newer and emerging languages such as R and Python; working knowledge of Hadoop and other big data technologies Additional Information About Epsilon Epsilon is a global advertising and marketing technology company positioned more »
to define needs and build data solutions to ensure a competitive advantage Collect and analyse datasets Leverage prior experience in the use of SQL, R, Python and data visualization tools Bring your understanding of the role of (insurance) risk underwriting, and develop data models to enhance the value of risk more »
team of at least 5/6 members. with the likes of SQL, SQL Server, Postgres, Oracle tools like Qliksense & Power BI languages – Python & R platforms (beneficial) managing senior stakeholders and end-to-end projects or ArcGIS (beneficial) Please note that if you do not have experience with all the more »
knowledge of applied modelling and analytics experience in applicable industry Have good understanding of statistical methods applied to data analysis Have user experience of R, Python or equivalent analytic software. Have understanding of various statistical methodologies including linear regression, logistic regression, and other advanced analytic techniques Have good written communication more »
clearly and efficiently to support business decisions Experience with BI Visualization tools (Tableau/Looker) - must have. Advanced knowledge in statistical tools and models (R, SAS, advanced statistical tools) - Advantage Great communication skills – you have full professional English skills and can clearly describe data to people from all departments A more »
experience in quantitative finance or a related role, with a focus on developing and implementing quantitative trading models and strategies. Strong proficiency in Python, R, or similar languages, with experience in relevant quantitative finance libraries and frameworks. In-depth understanding of financial markets, instruments, and risk management principles, as well more »
learning methods, such as regularization, random forests, neural networks and deep learning. Ability to write algorithms and implement pipelines in Python. Knowledge of Scala, R, is a plus. Experienced in SQL. Familiarity with various relational database platforms is a plus (SQL Server, MySql, PostgreSQL, Oracle, Snowflake, Vertica, etc). Ability more »
or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelingPreferred qualification more »
and reporting tools (incl. Microsoft Excel and SSRS) Desirable Knowledge and understanding of any other reporting tools, statistical analyst package or database tools (e.g R, Python etc.) Knowledge of current Foundation Trust information systems (e.g. Cerner EPR) Qualifications Essential Advanced understanding of the principles of Informatics to degree level or more »
of the Google Drive suite, including Google Slides & Google Sheets Experience with Tableau or other data visualisation tools is a plus Experience with SQL, R, or SAS is a plus Deep passion for the sports industry POSITION DETAILS: Full Time Must be eligible to work in the UK WORKING CONDITIONS more »
through mentoring or coaching relationships. Analysis of multiple large NHS data sets, structuring data and establish data pipelines (e.g., using tools such as SQL, R or Python). Develop data visualisations in specialist software to produce insightful dashboards (e.g., using tools such as PowerBI or Tableau). To be responsible more »
Data Analytics Experience in leading and managing a team Strong problem-solving and critical thinking abilities Proficiency in programming languages such as Python or R Excellent communication and presentation skills Master's degree in Data Science, Statistics, or a related field Experience in the digital marketing industry is a plus more »
around Martech, Generative AI and Data Migration. For you to be successful in this role you have to have hands on experience in Python, R, attribution modelling and mixed market modelling. Skills required: Experience delivering Marketing Effectiveness and Data projects a consulting firm within an Agency environment as you need more »
to optimize data analysis. - Collaborate with engineering and product teams to implement models into production systems. - Clean, process, and analyze large datasets using Python, R, SQL, and TensorFlow. - Present findings and insights to non-technical stakeholders in a clear and compelling manner. - Continuously enhance models based on feedback and real more »
