At Skillsoft, we propel organizations and people to grow together through transformative learning experiences. We believe every team member has the potential to be AMAZING. Join us in our quest to transform learning and help individuals unleash their edge.As a
Sr. Data Scientist
at Skillsoft, you'll be at the forefront of transforming complex data into strategic insights that directly impact our business. You'll leverage your expertise in advanced analytics, machine learning, and statistical modeling to develop predictive models, design robust experiments, and uncover hidden patterns within vast datasets. This role is crucial for driving data-informed decisions across our marketing and engineering teams. You'll be responsible for the entire data science lifecycle, from data exploration and cleaning to model deployment and communicating your findings in a clear, compelling way. Your contributions will directly influence product development, marketing strategies, and overall business growth.
Key Responsibilities
- Advanced Data Analysis & Statistical Modeling: Perform in-depth data analysis and apply advanced statistical modeling techniques to extract meaningful insights.
- Predictive Model Development: Develop and implement predictive models for key business areas such as customer segmentation, churn prediction, Lifetime Value (LTV), and propensity modeling.
- Machine Learning Algorithm Implementation: Design, implement, and optimize various machine learning algorithms to solve complex business problems.
- Experimentation Design & Analysis (A/B Testing): Design, execute, and analyze A/B tests and other experiments to evaluate the impact of different initiatives.
- Data Mining & Exploration: Conduct extensive data mining and exploration to identify new data sources, trends, and opportunities.
- Data Cleaning & Feature Engineering: Clean, preprocess, and transform raw data into high-quality features suitable for model training.
- Model Validation & Deployment Support: Validate model performance, ensure accuracy, and provide support for the deployment of models into production environments.
- Insight Generation & Communication to Marketing: Translate complex analytical findings into clear, actionable insights and effectively communicate them to marketing stakeholders.
- Cross-Functional Collaboration (Marketing, Engineering): Collaborate closely with marketing, engineering, and other cross-functional teams to integrate data science solutions.
- Data Transformation and Dataset Creation: Develop and maintain robust data transformation pipelines and create well-structured datasets for analytical use.
- Researching New Data Science Techniques: Continuously research and evaluate new data science techniques, tools, and methodologies to enhance our capabilities.
- Documenting Methodologies & Results: Document all methodologies, assumptions, and results of analyses and models for transparency and reproducibility.
- Collaboration with Data Engineering: 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.
- Marketing Attribution Modeling: 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.
Qualifications
and Requirements
- 5+ years of experience in data science and analytics.
- Bachelor's degree in data science, statistics, marketing, statistics, or a related field.
- Programming Proficiency: Strong proficiency in Python/R Programming for data analysis and model development.
- Data Science Libraries: Hands-on experience with key Data Science Libraries such as pandas, scikit-learn, and NumPy.
- Machine Learning Algorithms: Deep understanding and practical experience with various Machine Learning Algorithms.
- Statistical Analysis & Modeling: Expertise in Statistical Analysis & Modeling concepts and applications.
- SQL & Database Proficiency: Strong proficiency in SQL & Database Proficiency for data querying and manipulation.
- Data Wrangling & Feature Engineering: Proven ability in Data Wrangling & Feature Engineering to prepare data for modeling.
- Data Visualization: Experience with Data Visualization tools and libraries, including Matplotlib, Seaborn, and BI Tools.
- Experimental Design: Solid understanding of Experimental Design principles, particularly A/B testing.
- Cloud Platform Familiarity: Familiarity with Cloud Platform environments like AWS, Azure, or GCP.
- Analytical & Problem-Solving Skills: Possess strong Analytical & Problem-Solving capabilities.
- Communication & Presentation Skills: Exhibit excellent Communication & Presentation skills to convey complex information clearly.
- Marketing & Business Acumen: Have solid Marketing Domain Knowledge & Business Acumen to contextualize analyses.
- Scientific Rigor & Attention to Detail: Demonstrate Scientific Rigor & Attention to Detail in all aspects of work.
- Collaboration: Strong ability to Collaborate effectively within a team and with cross-functional partners.
- Learning Agility: Display high Learning Agility and a commitment to continuous self-improvement in data science.
- Salesforce Data Translation: 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.
- CDP Proficiency: Experience using attribution software (e.g., SFDC Data Cloud, CaliberMind, Hockeystack or custom applications) to analyze marketing impact across the buyer journey.
MORE ABOUT SKILLSOFT:Skillsoft delivers online learning, training, and talent solutions to help organizations
unleash their edge
. Leveraging immersive, engaging content, Skillsoft enables organizations to unlock the potential in their best assets – their people – and build teams with the skills they need for success. Empowering 36 million learners and counting, Skillsoft democratizes learning through an intelligent learning experience and a customized, learner-centric approach to skills development with resources for Leadership Development, Business Skills, Technology & Development, Digital Transformation, and Compliance.Skillsoft is partner to thousands of leading global organizations, including many Fortune 500 companies. The company features three award-winning systems that support learning, performance and success: Skillsoft learning content, the Percipio intelligent learning experience platform, which offers measurable impact across the entire employee lifecycle. Learn more at www.skillsoft.com.
Thank you for taking the time to learn more about us.If this opportunity intrigues you, we would love for you to apply!
NOTE TO EMPLOYMENT AGENCIES: We value the partnerships we have built with our preferred vendors. Skillsoft does not accept unsolicited resumes from employment agencies. All resumes submitted by employment agencies directly to any Skillsoft employee or hiring manager in any form without a signed Skillsoft Employment Agency Agreement on file and search engagement for that position will be deemed unsolicited in nature. No fee will be paid in the event the candidate is subsequently hired as a result of the referral or through other means.Skillsoft is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected categories.
