About us: At Cognira, we strongly believe that people are the biggest asset of our company. Our hand-picked team consists of passionate, collaborative, and forward-thinking individuals from all over the globe. We are passionate about making science easy and accessible to retailers, helping them get more value from people, data, and systems. We bring together expertise in retail, science, and scalable technologies to automate and enhance the quality of decision-making through software and consulting services. We are proud to have a growing team of domain experts and data scientists, as well as a culture that fosters strong and long-lasting relationships with our clients. Our Locations: - Atlanta, GA, US - Tunis, Tunisia - Istanbul, Turkey - Paris, France - Porto, Portugal Our values: - Be nice and trustworthy - Put our customers first - Succeed together - Never stop improving Are you ready to grow with us? To find out more about Cognira, please visit our website at [www.cognira.com](http://www.cognira.com/) About this role: The Data Scientist serves as a trusted professional that is experienced in problem-solving with real-world customer data and working with clients. At Cognira this role is expected to participate in design and implementation of client projects, as well as drive the development of general models used in forecasting. You will play an important role in shaping our forecasting processes, from architecting innovative feature sets and training cutting-edge models to refining their predictive power. You'll also partner with cross-functional teams to translate complex data into high-impact business solutions, directly influencing real-world retail strategies. What will you do: - You will develop new models and algorithms that allow our clients to make strategic decisions for promotion and pricing. - You will implement new features in Cognira’s forecasting platform. - You will be responsible for implementing forecast and strategy solutions using Cognira’s forecasting platform. - You will apply a wide range of statistical and quantitative analysis in practical and valuable ways to real-world business problems. - You will be processing, cleansing, and verifying the integrity of data used for analysis. - You will help create and maintain rich visualizations through data interpretation and analysis. - You will write maintainable and well-documented code. - You will learn and work with subject matter experts from other teams and business representatives from our clients. What you bring to the table: - Excellent academics in computer science, math, statistics or the physical sciences. - Deep understanding of machine learning and artificial intelligence. - Ability to innovate new solutions or design algorithms that address real-world client needs. - Extensive Python expertise with a minimum of 5 years in the field, including mastery of essential frameworks like Pandas, PySpark, or NumPy. - Ability to work on multiple projects. - Ability to maintain a high level of code quality and work within a shared repository. - Excellent written and verbal communication skills including reports and presentations. - A drive to learn and master new technologies and techniques. - You have a collaborative attitude, willingness to share and use best ideas. - You are persistent, focused, self-sufficient and optimistic. Even better if : - You have past retail experience. - You have experience working in a distributed development environment leveraging git and Jira. - You have experience working in a scaled data environment leveraging Spark and Kubernetes. - You have experience working in a Linux environment. - You have a Ph.D. degree. What we offer: - In addition to joining us on our journey to build state-of-the-art, AI-enabled software, you’ll also get a ton of perks! - Competitive salary, benefits, and equity stock plans for all employees - The week between Christmas and New Year's Day as holidays - Great medical insurance & 401K with matching - On Wednesdays, we have free lunches, and our office building has a complimentary gym with free classes from yoga to kickboxing. We also have a game room so we have the occasional table tennis competition or a game of shuffleboard. - Work-Life Balance: 21 paid days off, major national holidays in the US - Unlimited days of Work From Anywhere every year. We’d like to ensure you have the time and flexibility to recharge and spend time with your loved ones. - Casual dress code, free snacks, drinks, and social events! - Mentorship Program, where you can be a mentor or a mentee. - Referral Program Bonus - A cool welcome pack with laptop & all necessary IT kit for work