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Data Scientist 4
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Overview:
As a Data Scientist 4, you will play a critical role in driving data-informed decision-making across the organization. You will lead the development of predictive models, advanced statistical techniques, and machine learning. This role requires a strategic thinker with deep technical expertise and strong business acumen to translate complex data into actionable insights for our B2B software products.
**Responsibilities**:
- Collaborate and lead large, complex analytical experiments with mínimal oversight from team members. Analyze data for trends and patterns, and interpret data with clear objectives in mind.
- Lead the design, development, and deployment of predictive models (e.g., churn, propensity, lifetime value).
- Serve as a data strategist to identify and integrate new datasets, and work closely with the engineering team in the development of data deliverables for business consumption.
- Build and maintain interactive dashboards and visualizations in Power BI to communicate insights effectively.
- Identify relevant data sources and sets to mine for business needs, and collect large structured and unstructured datasets and variables.
- Develop and utilize advanced algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy.
- Make strategic recommendations on data collection, integration, and retention requirements, incorporating business needs and industry best practices.
- Collaborate with internal business analysts and external client teams to identify and solve data-driven challenges.
- Collaborate with data engineering team to integrate models into production environments.
- Mentor junior data scientists and analysts, fostering a culture of learning and innovation.
- Stay current with industry trends, emerging technologies, and best practices in data science and machine learning.
- Ensure data integrity and governance across all analytics initiatives
Basic Qualifications:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- 5+ years of experience in data science or advanced analytics, preferably in a B2B SaaS or enterprise software environment.
- Proven experience building and deploying predictive models using Python or R.
- Advanced understanding of relational, NoSQL, big data, and graph databases
- Hands-on experience with Power BI for data modeling, visualization, and reporting.
- Deep understanding of machine learning algorithms, statistical modeling, and A/B testing.
- Advanced Microsoft Excel and data mining skills.
- Excellent communication skills with the ability to translate complex analyses into business impact.
- Strong project management and stakeholder engagement skills.
- Experience with customer analytics, including churn prediction, segmentation, and lifetime value modeling.
- Familiarity with cloud platforms (e.g., Azure, AWS, GCP).
- Experience working in Agile environments and collaborating with engineering teams.
- Excellent oral and written communications skills that demonstrate a professional demeanor and the ability to interact with executive presence
- Excellent organizational, multi-tasking, and time management skills
- Excellent collaboration skills, applied successfully within team as well as with all levels of employees in other areas
- Excellent interpersonal skills; able to maintain solid rapport with team members as well as maintain professionalism with those outside of department
- Up to 5% travel time required
