Data Scientist - Qualified Pipeline

August 28, 2024

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Data Meaning

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Data Meaning is a company that specializes in accelerating analytical workloads for businesses, helping them to increase productivity and focus on high-value tasks. They offer managed services, expert-on-demand solutions, and enablement & training programs to help organizations handle increased workloads and embrace new technologies effectively. With over 20 years of experience and more than 800 projects completed, Data Meaning provides expertise in data governance and strategy, aligning data initiatives with business objectives. They target bottlenecks in productivity and offer solutions in sectors like public sector and other industries to improve efficiency and compliance. Their services are designed to help businesses outsource mundane tasks, increase team engagement, and boost work efficiency through specialized skills and frameworks.

MicroStrategy Consultants • Data Warehousing • Business Intelligence Solutions • Project Management • Dashboard Customization & Design

51 - 200 employees

🤝 B2B

🏢 Enterprise

☁️ SaaS

📋 Description

• Follow consistent practices to ensure data integrity and deal with imperfections in data. • Effectively process structured and semi-structured/unstructured data; proficiently integrate varied datasets • Work cross-functionally with development and engineering teams • Analyze large amounts of information to discover trends and patterns, draw conclusions and gain actionable insights. • Build predictive models; propose solutions and strategies for business problems • Apply the appropriate machine learning algorithm to data problems (e.g. supervised vs. unsupervised machine learning, clustering, ensemble methods, etc.), validate model results. • Work closely with architecture and engineering team to deploy models; communicate results in a clear and non-technical manner. • Interact with senior management and effectively communicate technical information to numerous audiences (e.g. senior management, client community, peers and junior associates) • Address challenges to analytic processes and influence others to change their approach and work collectively to implement new tools/techniques • Gain support from related stakeholders for analytic solutions and champion data driven business decisions. • Apply appropriate statistical techniques to data exploration and model development/assessment • Communicate complex statistical concepts to non-technical audiences; maintain skills through continuing education. • Create meaningful data visualizations to communicate results and highlight business impact • Effectively collaborate with others to deliver efficient and high-quality code (Python or R) • Implement solid validation process to ensure consistency and minimize errors in code • Champion more efficient ways to produce code, maintain skills through continuing education; stay up to date on new technologies/ tools • Seamlessly transition between languages to apply the right approach to the problem. • Understanding of Big Data infrastructure – Hadoop, MapReduce and Spark

🎯 Requirements

• Bachelor’s degree in Computer Science, Math or Statistics is preferred • At least 4 years of professional experience in a data-related role • Good communication skills (English proficiency) • Knowledge of Statistics and Statistical Modeling • Understanding of Machine Learning and Predictive Analytics • Data analysis programming languages – Python and R (at least one) • Database languages – SQL and NoSQL (desirable) • Data Visualization – Power BI or Tableau