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Data Scientist
2 months ago
Your Role as a Data Scientist:
We are looking for a Data Scientist who can deep dive into the information generated in our platform and create reporting and analytics that will add value to our customers. In this role, you will leverage your advanced analytical skills and data expertise to drive insights and support data-driven decision-making for our customers. Our platform supports multiple solutions and we want to ensure our customers have access to the information they need to make informed decisions. You will collaborate closely with cross-functional teams to develop and deliver comprehensive reports and dashboards, helping our customers optimize their use of our platform. This role requires a combination of technical aptitude, strategic thinking, and effective stakeholder engagement.
A Day in the Life of a Data Scientist:
Meet with senior stakeholders to understand their business objectives and identify key metrics for tracking progress.
Perform thorough discovery on the data collected by our platform, including customer usage patterns, behaviors, and engagement metrics.
Develop a strategic plan for developing analytics and reporting capabilities that align with our customers' needs.
Design and build data models to support analytics and reporting requirements. Ensure data integrity, security, and accessibility.
Develop reports and dashboards that provide insights into customer usage patterns, trends, and opportunities for improvement.
Work with product development teams to integrate analytics and reporting capabilities into our platform.
Provide training and support to customers on how to use analytics and reporting tools effectively.
Continuously refine analytics and reporting capabilities based on customer feedback and changing business needs.
What You’ll Need:
Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
Minimum of 7 years of SaaS experience in data science, analytics, or a similar role.
Proven experience in data science, data strategy, or a related field. Strong background in predictive analytics and algorithm development.
Passion for turning data into valuable business insights and driving innovation.
Proficient in data analysis tools and tech with a solid understanding of developing and implementing machine learning techniques.
Experience in designing and building data lakes and managing large-scale data storage solutions.
Analytical Mindset: Excellent analytical and problem-solving skills. Ability to translate complex data into actionable insights and strategies.
Strong communication skills to effectively engage with senior stakeholders and present data-driven insights in a clear, concise manner.
Ability to think creatively and develop innovative solutions to leverage data for business growth and improvement.
The Perks of Working for Appspace:
For all our US based team members, we offer a variety of benefits from competitive salaries, medical, dental and vision coverage, disability coverage, employer-paid life insurance, mental health resources, 401(k) plan and a fully paid parental leave program.
Additional perks include:
Generous PTO
Flexible work schedules
Remote work opportunities
Paid company holidays
Appspace Quiet Fridays (No non-essential internal meetings scheduled)
A casual dress work environment
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