Data Scientist

Must-haves:Two or more years of data analytics or data science experience.Knowledge of digital marketing and marketing automation platforms like Adobe Analytics, Claravine, Eloqua, Hubspot or Hubspot, including campaign, contact, lifecycle and engagement data.Advanced experience working with CRM platforms, preferably Salesforce (SFDC), including reporting, dashboards, campaign structures, lead/contact/account/opportunity objects, and understanding of the underlying CRM data model.Ability to independently build, troubleshoot and optimize CRM reports and dashboards for Marketing and Sales stakeholders.Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Python, SAS).PlussesBachelor's degree (or equivalent) in statistics, applied mathematics, or related field.Job Responsibilities:We require a highly skilled data scientist/analyst to robustly support our digital marketing strategy team. The successful candidate must excel in analyzing extensive data sets to identify opportunities for targeted and scalable marketing and sales initiatives. This includes extracting valuable insights to guide the development of Marketing and Sales programs.The ideal candidate will not only possess robust expertise in various data mining and analysis methodologies, but also a comprehensive knowledge of algorithm creation and usage. They should be adept at crafting and running simulations and have a proven track record of driving business outcomes through data-based insights. Equally important, they should thrive in a collaborative environment and be comfortable working with diverse cross-functional teams and partners.We are looking for a candidate with strong data analysis skills and a deep-seated passion for improving business outcomes through collaborative teamwork. This role is crucial to our company's success, and we want someone who shares our commitment to excellence.Objectives of this role:Collaborate with the marketing and sales teams to understand their needs. Partner with Marketing Operations and business stakeholders to establish standardized definitions for marketing and sales KPIs.Use statistical models for data analysis, both descriptive and inferential purposes.Design and conduct experiments to make causal inferences.Develop visualizations to present the results of data analysis and experiments.Responsibilities:Analyze Marketing and Sales performance across the customer lifecycle, including acquisition, engagement, lead generation, qualification, pipeline creation, opportunity progression and conversion.Identify trends, performance gaps, anomalies and opportunities across campaigns, audiences, segments, accounts and geographies.Develop and maintain funnel reporting that connects marketing activity to sales outcomes and business performance.Identify relevant data sources and sets to mine for internal- and external customer needs and collect large structured and unstructured datasets and variables.Devise and apply algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy.Use machine learning models to understand trends, segmentation, forecasting, and behavioral maps.Create PowerBI dashboards for data visualization.