Payrate: $58.00 - $60.00/hr. Responsibilities: • Collaborates with business and analytics leaders to generate insights and answer business questions by using analytics techniques such as advanced data visualization, statistical analysis, randomized testing, predictive modeling, forecasting, optimization, and/or machine learning. • Proposes innovative ways to look at problems by using these approaches on available enterprise data as well as customer third party data and information. • Validates findings using experimental and iterative approaches. • This level performs basic statistical analysis of low to moderately complex data from a single source, with heavy reliance on industry/standardized tools and existing models. • Output is reviewed by higher-level Data Scientists or Analytics Manager for execution. • Works with data sets and performs appropriate analytical methodology to provide insights and decision modeling for the business. • Creates and implements algorithms which manage the data to enable it to be analyzed in an efficient manner. • Supports the communication of derived insights, especially through appropriate visualization techniques. • Supports the identification of the required data sources and works with Data Wranglers and/or IT to implement methodologies to retrieve and use this data. • Stay abreast of the latest appropriate analytical techniques and recommend these where needed. • Explain implementation and usage in business terms. • Apply analytical techniques to prospect for business insights and find patterns in data which could be valuable for the business Skills: • Quantitative analytical skills • Knowledge of appropriate industry • Good interpersonal, negotiation and conflict resolution skills. • Excellence in verbal and written communication forms with emphasis on persuasive communication, tact and negotiation. • Business process knowledge of assigned area(s) and/or function(s). • Knowledge of advanced data gathering and analysis techniques, including statistical analysis. • Additional experience with other languages such as R, JavaScript, Scala, etc. • Examples of professional work such as publications, patents, a portfolio of relevant project-work, etc. • Familiarity with Distributed Datasets • Experienced with a variety of data structures such as time-series, geo-tagged, text, structured, and unstructured. • Experience with simulations such as Monte Carlo simulation, Gibbs sampling, etc. • Experience with model validation, measuring model bias, measuring model drift, etc. • Experience collaborating with stakeholders from disciplines such as Product, Sales, Finance, etc. • Ability to communicate complex analytical insights in a manner which is clearly understandable by nontechnical audiences. Relevant skills: • Demonstrated competency in developing production-ready models in an Object-Oriented Prog language such as Python. • Demonstrated competency in using data-access technologies such as SQL, Spark, Databricks, Big Query, MongoDB, etc. • Experience with Visualization tools such as Tableau, Power BI, Data Studio, etc. • Experience with Data Modeling techniques such as Normalization, data quality and coverage assessment, attribute analysis, performance management, etc. • Experience building machine learning models such as Regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc. • Excellent communication skills. Able to effectively lead meetings, to document work for reproduction, to write persuasively, to communicate proof-of-concepts, and to effectively take notes. Education: • Degree in Math discipline or equivalent experience. University Degree (4 years or equivalent) • Economics - University Degree (4 years or equivalent) • Statistics - University Degree (4 years or equivalent) Pay Transparency: The typical base pay for this role across the U.S. is: $58.00 - $60.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance. For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy (https://www.aditiconsulting.com/privacy-policy). Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process.  AI technology is used to gather data only and does not replace human-based decision making in employment decisions.  By applying for this position, you agree to Aditi’s use of AI technology, including calls from an AI Voice Recruiter. #AditiConsulting #25-20677