**Job Title:** Data Scientist **Department:** Product **Reports to:** COO **About Luna Joy** Luna Joy is a leading provider of mental health services, specializing in supporting women through their mental wellness journey. We offer holistic therapy and medication management to help women overcome challenges like postpartum mental health issues. Our dedicated team of professionals works in a collaborative, flexible, and remote environment, ensuring comprehensive care for our clients. We are rapidly expanding and committed to improving access to quality mental health services across the U.S. **Job Overview** We are looking for a Data Scientist to turn data into actionable insights that drive smarter decisions across the business. This role focuses on analyzing complex datasets, building predictive models, and partnering with stakeholders to solve real business problems using data. As part of the Luna Joy team, you will play an essential role in directly contributing to supporting the mental health journey of one million women with purpose\-driven innovation, unwavering compassion, and transformative care. You will need speed to adapt quickly and efficiently, as well as the drive to be 1% better every day, constantly striving for improvement. Additionally, you will demonstrate compassion and contribute to a positive work environment by giving and getting joy in your daily interactions. These values will enable you to make effective contributions to key areas of focus and responsibility. **Key Responsibilities:** * Analyze large, complex datasets to identify trends, patterns, and opportunities * Build and deploy statistical models, predictive models, and machine learning solutions * Translate business questions into data problems and clearly communicate findings * Design experiments (A/B tests) and measure the impact of initiatives * Clean, transform, and validate data from multiple sources * Create dashboards, visualizations, and reports for technical and non\-technical audiences * Collaborate with data engineers, product, operations, and leadership teams * Continuously improve data models, methodologies, and data quality **Qualifications:** * Foundational SQL skills for querying and manipulating data. * Basic knowledge of data visualization tools (Excel, Google Sheets, Power BI, Tableau, or Looker Studio). * Experience with Python or R for data manipulation is a plus. * Understanding of descriptive statistics. * Strong attention to detail and analytical thinking. **Nice to Haves:** * Experience with ETL concepts or workflows. * Familiarity with cloud platforms or data warehouses. * Knowledge of A/B testing or statistical analysis. **Why Luna Joy?** * **Mission\-Driven Purpose:** Be a part of an organization dedicated to improving access to mental health care, empowering individuals, and creating positive, lasting change in our communities. * **Flexibility \& Work\-Life Balance:** We offer a fully remote work environment that allows you to work from wherever you're most comfortable. Embrace the freedom of remote work while staying connected with a supportive team. This flexibility enables you to create a workspace that fits your needs, allowing you to focus on making a meaningful impact from anywhere. * **Collaborative \& Inclusive Culture:** Join a community of diverse talent who share your passion for making a difference. We foster a culture of collaboration, growth, and mutual support to help you thrive in your role. * **Rewarding Compensation:** We recognize the value of your work with fair pay, bonuses, and opportunities for advancement as we continue to expand our reach and impact in the mental health space. **Compensation \& Benefits:** **Compensation Range**: $1,500 \- $2,000 per month, based on location, experience, qualifications, and applicable federal and state minimum wage requirements. **Benefits:** * Access to educational resources and professional development opportunities. * Supportive community of like\-minded professionals. * Performance\-based bonuses and additional perks. **Interview Process** **HR Screen:** The first phase involves an initial screening with HR. During this stage, we will discuss your experience, skills, and alignment with Luna Joy’s values and culture. This step ensures that you meet the basic qualifications and provides an opportunity for you to learn more about the company and the role. **Second Phase with Hiring Manager:** Candidates who pass the HR screen will move on to an interview with the Hiring Manager. In this phase, we dive deeper into your technical abilities, role\-specific competencies, and how you approach challenges. The Hiring Manager will assess your fit within the team and your ability to contribute to Luna Joy’s mission. **Offer Stage:** After the second phase, successful candidates will move to the offer stage. We will present a formal offer that includes compensation, benefits, and any additional details about the role. This is also your opportunity to ask any final questions before making your decision. **Onboarding \& Training:** Once the offer is accepted, the onboarding process begins. You will be guided through setting up tools, learning about Luna Joy’s systems and workflows, and engaging in any role\-specific training. This phase ensures a smooth transition into your new role, setting you up for success from day one. **Inclusion Statement** *At Luna Joy, we are committed to fostering a diverse, inclusive, and equitable workplace where all team members feel valued and respected. We believe that diversity of backgrounds, experiences, and perspectives strengthens our ability to support women’s mental health. We encourage individuals from all backgrounds, including those from historically underrepresented groups, to apply and join us in creating a positive impact in our communities. Everyone is welcome at Luna Joy, and we are dedicated to building a work environment where you can thrive and bring your whole self to work.* Job Type: Full\-time Experience: * ETL: 3 years (Required) * Python: 3 years (Required) * Tableau: 3 years (Required) * Data analysis skills: 3 years (Required) * SQL: 3 years (Required)