Senior Data Scientist

November 25

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Skillsoft

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Education • Enterprise • SaaS

Skillsoft is a company that provides enterprise learning solutions designed to rapidly develop employee skills and close skill gaps. The company offers various customized learning programs, including leadership and business skills, technology skills, compliance and ethics, and AI skills. Skillsoft's learning platforms, such as Codecademy for Enterprise and Skillsoft Percipio, enable organizations to transform their workforces through mentorship, coaching, and instructor-led training. With a focus on integrating learning options into organizational frameworks and supporting workforce development with assessments and reports, Skillsoft aims to prepare teams for the evolving demands of the digital era. More than 12,000 organizations trust Skillsoft for their employee learning and development needs.

1001 - 5000 employees

Founded 1998

📚 Education

🏢 Enterprise

☁️ SaaS

📋 Description

• Perform in-depth data analysis and apply advanced statistical modeling techniques to extract meaningful insights. • Develop and implement predictive models for key business areas such as customer segmentation, churn prediction, Lifetime Value (LTV), and propensity modeling. • Design, implement, and optimize various machine learning algorithms to solve complex business problems. • Design, execute, and analyze A/B tests and other experiments to evaluate the impact of different initiatives. • Conduct extensive data mining and exploration to identify new data sources, trends, and opportunities. • Clean, preprocess, and transform raw data into high-quality features suitable for model training. • Validate model performance, ensure accuracy, and provide support for the deployment of models into production environments. • Translate complex analytical findings into clear, actionable insights and effectively communicate them to marketing stakeholders. • Collaborate closely with marketing, engineering, and other cross-functional teams to integrate data science solutions. • Develop and maintain robust data transformation pipelines and create well-structured datasets for analytical use. • Continuously research and evaluate new data science techniques, tools, and methodologies to enhance our capabilities. • Document all methodologies, assumptions, and results of analyses and models for transparency and reproducibility. • Partner with the data engineering team to define how Salesforce data should be structured and transformed to support KPI development. Translate business needs into clear data requirements to ensure accurate, scalable reporting and analytics. • Develop and maintain attribution models (e.g., first-touch, W-shaped, data-driven) to evaluate marketing’s influence on pipeline and revenue. Collaborate with marketing stakeholders to interpret model outputs and refine strategies accordingly.

🎯 Requirements

• 5+ years of experience in data science and analytics. • Bachelor’s degree in data science, statistics, marketing, statistics, or a related field. • Strong proficiency in Python/R Programming for data analysis and model development. • Hands-on experience with key Data Science Libraries such as pandas, scikit-learn, and NumPy. • Deep understanding and practical experience with various Machine Learning Algorithms. • Expertise in Statistical Analysis & Modeling concepts and applications. • Strong proficiency in SQL & Database Proficiency for data querying and manipulation. • Proven ability in Data Wrangling & Feature Engineering to prepare data for modeling. • Experience with Data Visualization tools and libraries, including Matplotlib, Seaborn, and BI Tools. • Solid understanding of Experimental Design principles, particularly A/B testing. • Familiarity with Cloud Platform environments like AWS, Azure, or GCP. • Possess strong Analytical & Problem-Solving capabilities. • Exhibit excellent Communication & Presentation skills to convey complex information clearly. • Have solid Marketing Domain Knowledge & Business Acumen to contextualize analyses. • Demonstrate Scientific Rigor & Attention to Detail in all aspects of work. • Strong ability to Collaborate effectively within a team and with cross-functional partners. • Display high Learning Agility and a commitment to continuous self-improvement in data science. • Strong understanding of Salesforce data objects, table relationships, and campaign structures, with the ability to translate available data into the logic and structure needed for KPI reporting and dashboard development. • Experience using attribution software (e.g., SFDC Data Cloud, CaliberMind, Hockeystack or custom applications) to analyze marketing impact across the buyer journey.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities