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Scopely is seeking a highly skilled Data Scientist to join our People Analytics team in a hybrid capacity, working at least 2 days a week from our hub. As a global leader in the mobile games industry, we're committed to creating a diverse and supportive work environment where everyone is treated with respect.
Key Responsibilities- Partner with business stakeholders to define key performance indicators (KPIs) for people data.
- Advise and collaborate with business leaders and HR partners to develop data-driven recommendations and action plans, driving strategies that address current and future business challenges.
- Contribute to data-driven decision-making across the organization by identifying opportunities to improve HR processes and programs.
- Prepare and analyze HR-related datasets, including employee demographics, performance, compensation, and engagement.
- Provide data insights by correlating data from different sources.
- Design, create, and maintain dashboards in Looker, Workday, and other systems to communicate insights and recommendations to HR and business leaders.
- Apply statistical methods and machine learning to gain valuable insights and develop predictive models that identify trends, forecast outcomes, and support HR decisions.
- Develop predictive models to identify trends and patterns, forecast outcomes, and inform HR decisions.
- Translate complex data insights into simple, actionable solutions that add value to HR and the business.
- Ensure data quality, accuracy, and completeness in all analyses and reports, working with IT and other stakeholders to ensure the security, privacy, and compliance of HR data and models.
- Bachelor's degree in data science, statistics, computer science, or a related field.
- Master's degree preferred.
- 3+ years of experience in data analysis, modeling, and visualization.
- Experience in HR analytics preferred.
- Strong analytical and problem-solving skills, with the ability to think critically and creatively about complex business problems.
- Proficiency in statistical analysis and modeling techniques, such as regression analysis, machine learning, and data mining.
- Expertise in data visualization and reporting tools, such as Looker.
- Strong programming skills in languages such as Python or SQL.
- Excellent communication skills, with the ability to clearly and persuasively communicate complex data insights to non-technical audiences.
- Ability to work independently and collaboratively, and to manage multiple projects and priorities simultaneously.
- Knowledge of HR policies, procedures, and practices, and their impact on business outcomes.
- Familiarity with HR systems and technologies, such as Workday, Peakon, and Jobvite.