**What you will do**- Develop predictive models to optimize SEO efforts and increase relevant organic sessions to job search; - Formulate hypotheses to improve model accuracy and conduct rigorous testing to validate hypotheses; - Gather and analyze data from various sources to train and refine predictive models; - Communicate findings and recommendations to stakeholders, including engineering teams, to guide decision-making and drive implementation; - Collaborate with engineering teams to integrate predictive models into production environments and monitor performance; - Continuously monitor and evaluate the effectiveness of SEO strategies, making adjustments as needed to maximize impact.**Must haves**- Bachelor's degree in Computer Science, Statistics, Data Science, or a related field; - 3+ years of experiencein data science, with a focus on SEO or digital marketing preferred; - Proven track record ofdeveloping and implementing predictive models to drive business outcomes; - Strong analytical and problem-solving skills, with the ability to thrive in a fast-paced, collaborative environment; - Statistical modeling, particularly regression; - Python for data analysis, modeling, and automation; - Experience with SQL and data wrangling large datasets with Snowflake or similar; - Familiarity with data tools; ideally Snowpark, otherwise Redshift, Databricks, etc; - Good English and communication skills; **The benefits of joining us**- **Professional growth**Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps- **Competitive compensation**We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities- **A selection of exciting projects**Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands- **Flextime**Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office - whatever makes you the happiest and most productive**Job Types**: Full-time, ContractWork Location: In person