Degree in Computational Biology
Degree in Computer Engineering
Algorithms, Analytical and Problem solving, Analytical Techniques, Cloud computing, Data Architecture, Data Modeling, Intellectually curious, creative, and diligent, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Statistical modeling, TensorFlow
The Estee Lauder Companies is the global leader in prestige beauty — delighting consumers with transformative products and experiences, inspiring them to express their individual beauty. We are the only company focused solely on prestige makeup, skin care, fragrance and hair care with a diverse portfolio of 25+ brands sold in approximately 150 countries and territories. Infused throughout our organization is a passion for creativity and imagination — a desire to push the boundaries and invent the unexpected — as we continue the bold work of our founder Estée Lauder.
We connect with our customers anytime, anywhere, from any device. We’re committed to innovation, working with the best tools and technologies available to help our shoppers seamlessly navigate the digital world of beauty. We have a collaborative work environment that hums with the buzz of 80% female leadership. It’s also home to bold technologists, marketers and ecommerce renegades who are shaping the future of beauty.
About the Team
Data Science & Analytics (DSA) at the Estee Lauder Companies (ELC) Online works in collaboration with ELC business partners to create actionable, results-oriented data science products. We leverage analytical and technical expertise to promote healthy living and help consumers express personal beauty. We bring software engineering best-practices to data science disciplines with a focus on sustainability, standardization, and generalizable solutions. We are dedicated to fostering a culture of openness and maintain a no-blame environment to facilitate continuous improvement and a growth mindset.
Responsibilities
As a Senior Staff ML Engineer at ELC Online, you will be responsible for modeling complex problems, discovering insights and identifying opportunities using statistical and machine learning methods. You will write efficient, clear code as well as accurate, mathematically rigorous technical documents to ensure deliverables meet customer needs and team goals. You have a passion for mentoring members of your team to achieve strong results and continued engagement. You set standards for scientific excellence and make decisions that affect the way we build and integrate algorithms. Your solutions are exemplary in terms of algorithm design, clarity, model structure, efficiency, and extensibility. You will collaborate with an interdisciplinary team of engineers, scientists, and product managers to translate business and functional requirements into concrete deliverables, including the design, development, testing, and deployment of scalable solutions. You will bring scientific rigor and structure to ambiguous business problems and address the challenges of product creation, development, and improvement with an appreciation for the behaviors and needs of our consumers. You will acquire data by exploring the universe of available data and building the necessary queries and pipelines. You will analyze data for trends and validity by inspecting distributions, exploring relationships, constructing appropriate transformations, and attributing meaning to anomalies. You will build models using statistical and machine learning methods, validate models against alternative approaches, and implement models that comply with the computational demands, accuracy, and reliability of the relevant processes at various stages of production. You are an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. You tackle intrinsically difficult problems; you are interested in learning and will acquire skills and expertise as needed.
Qualifications
Differentiating Benefits
The anticipated base salary range for this position is $132,500 to $221,000. Exact salary depends on several factors such as experience, skills, education, and budget. Salary range may vary based on geographic location. In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results.
In addition, The Estée Lauder Companies offers a variety of benefits to eligible employees, including health insurance coverage, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education-related programs, paid holidays and vacation time, and many others. Many of these benefits are subsidized or fully paid for by the company.
Should you wish to apply for this position or any other position with the Company and you believe you require assistance to complete an application or participate in an interview, please contact USApplicantAccommodations@Estee.com.
The Estée Lauder Companies Inc. is one of the world’s leading manufacturers and marketers of quality skin care, makeup, fragrance and hair care products. The company’s products are sold in approximately 150 countries and territories under brand names including: Estée Lauder, Aramis, Clinique, Lab Series, Origins, M·A·C, La Mer, Bobbi Brown, Aveda, Jo Malone London, Bumble and bumble, Darphin Paris, TOM FORD BEAUTY, Smashbox, AERIN Beauty, Le Labo
Bucharest, Romania
2-4 year
Bucharest, Romania
2-4 year
Bucharest, Romania
6-8 year