Data Modelling Analyst Jobs
By Ampcus Inc At Eden Prairie, MN, United States

Job Role: Data Modelling Analyst Location: Eden Prarie, MN Duration: Long term Job Location Eden Prarie, MN Project Duration 6 Months Role Data Modelling Analyst Job Description - In detail Works ...

Principal Data Science (Multiple Openings) - Ihm
By Discover Financial Services At Riverwoods, IL, United States

Medical, Dental, Vision, & Health Savings Account

STD, Life, LTD and AD&D

Data Scientist, Predictive Modeling
By Financial Services At New York, United States
Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
At least 1 - 2 years' of experience in quantitative analytics or data modeling
Analyze raw data: assessing quality, cleansing, structuring for downstream processing
Design accurate and scalable prediction algorithms
Collaborate with engineering team to bring analytical prototypes to production
Generate actionable insights for business improvements
Operability And Modelling Process Engineer
By Malta Inc At Cambridge, MA, United States
Preparing process design deliverables: processes/cycles scheme with simplified description, process narratives, operability requirements for the development of the controls algorithms
10+ years of relevant experience as process or modelling engineer, or related positions
Have proven experience in process engineering or project engineering coordinating multiple disciplines in the execution of large industrial capital projects.
Have experience working in a team involved in design and development of new products.
Strong problem-solving, organizational, analytical and root cause skills
Have excellent written and verbal communications skills. Fluency in English is essential.
Predictive Data Analyst Jobs
By SimioCloud At United States
Exceptional project management and ability to balance multiple deadlines simultaneously
Executing and adding to data products that support our product offerings
Skills with database manipulation and writing query languages such as SQL
Experience with data tools like Alteryx
Experience with common data science toolkits, such as R or Python
Experience with data visualization tools, such as PowerBI

Are you passionate about using data to solve complex problems? Do you have a knack for uncovering insights from data and turning them into actionable solutions? We are looking for a Principal Predictive Modelling and Data Science expert to join our team and help us unlock the potential of our data. You will be responsible for developing predictive models and data science solutions to drive business decisions and uncover new opportunities. If you are an experienced data scientist with a passion for problem-solving, then this is the perfect role for you!

Principal Predictive Modelling and Data Science job skills required include:

• Expertise in predictive modelling techniques such as regression, decision trees, neural networks, and clustering
• Knowledge of data mining, machine learning, and statistical analysis
• Experience with programming languages such as Python, R, and SQL
• Ability to interpret and communicate complex data
• Ability to develop and implement predictive models
• Ability to develop and maintain data pipelines
• Ability to work with large datasets

Principal Predictive Modelling and Data Science job qualifications typically include:

• Bachelor's degree in computer science, mathematics, statistics, or a related field
• Master's degree in a related field is preferred
• 5+ years of experience in predictive modelling and data science
• Experience with big data technologies such as Hadoop, Spark, and NoSQL databases
• Knowledge of data visualization tools such as Tableau and Power BI

Principal Predictive Modelling and Data Science job knowledge includes:

• Understanding of predictive modelling techniques and algorithms
• Knowledge of data mining and machine learning
• Understanding of statistical analysis and data visualization
• Knowledge of programming languages such as Python, R, and SQL
• Understanding of big data technologies such as Hado