Lead Data Scientist
Company Description: Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com We are seeking a Data Science Lead to contribute to our next level of growth and expansion. What is this position about? We are looking for a Data Science Lead to drive the development and implementation of advanced analytical solutions focused on campaign performance and impact measurement. This role will involve working with statistical modeling, time series analysis, and causal inference techniques to generate actionable insights, particularly within marketing and retail contexts. Job Description: Lead the design and implementation of data science solutions to evaluate and estimate the impact of marketing campaigns. Develop and deploy models including time series, classification, and regression models. Apply causal inference methodologies to measure campaign effectiveness and business impact. Analyze large datasets using Python and SQL to extract insights and support decision-making. Design and analyze A/B tests to validate hypotheses and optimize strategies. Collaborate with cross-functional teams including business stakeholders, marketing, and engineering. Translate complex analytical findings into clear, actionable recommendations. Ensure best practices in data modeling, experimentation, and statistical analysis. Qualifications: Strong experience with Python and SQL for data analysis and modeling. Proven experience building time series, classification, and regression models. Solid understanding of causal inference and statistical analysis. Experience designing and analyzing A/B testing experiments. Strong problem-solving skills and ability to work with ambiguous data scenarios. Excellent communication skills to explain technical concepts to non-technical stakeholders. Experience in retail industry is a plus. What about languages? Advanced English level is required (both written and spoken). Additional Information: Our Perks and Benefits: Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. Access to AI learning paths to stay up to date with the latest technologies. Study plans, courses, and additional certifications tailored to your role. Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. English lessons to support your professional communication. Travel opportunities to attend industry conferences and meet clients. Mentoring and Development: Career development plans and mentorship programs to help shape your path. Celebrations & Support: Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. Company-provided equipment. ⚖️ Flexible working options to help you strike the right balance.