Data Scientist / Analyst - Remote
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Role details
Tech stack
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Job description
Aptask Global Workforce (AGW) is seeking a Data Scientist / Analyst for a Remote position with a Global Life Sciences Company. This is a 6+ month contract opportunity., * 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
- 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
Requirements
This role will support a digital marketing strategy team by analyzing extensive data sets to identify opportunities for targeted and scalable marketing and sales initiatives. The ideal candidate will have robust expertise in various data mining and analysis methodologies, a comprehensive knowledge of algorithm creation, and a proven track record of driving business outcomes through data-based insights., * Knowledge of digital marketing and marketing automation platforms like Adobe Analytics, Claravine, Eloqua, 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
- Strong understanding of how CRM data is generated, structured and connected across Marketing and Sales processes
- Ability to independently build, troubleshoot and optimize CRM reports and dashboards for Marketing and Sales stakeholders
- Proficiency with data mining, mathematics, and statistical analysis
- Experience in pattern recognition and predictive modeling through machine learning
- Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Python, SAS)
- Ability to work effectively in a dynamic, innovative group that runs global, cross-functional projects
Desired skills:
- Bachelorβs degree (or equivalent) in statistics, applied mathematics, or related field
- Two or more years of project management experience
- Two or more years of data analytics or data science experience
About the company
ApTask Global Workforce (AGW) is a certified Minority and Veteran workforce solutions company. AGW delivers operational, clinical, lab and professional talent with a strong focus on healthcare and life sciences. The company supports clients with reliable staffing, program expertise and a commitment to quality, speed and consistent delivery.
Benefits of working with ApTask Global Workforce include:
- Medical
- Dental
- Vision
- Sick Pay (for applicable states/municipalities)
Our team stays close to the process and is here to guide you every step of the way. To learn more, please visit our website
ApTask Global Workforce is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability or status as a protected veteran.
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