Senior Data Scientist

Key Skills

Data science techniques, Large data sets, NumPy, Optimization, Pandas, Presentation skills, SciPy

Job Description

We are seeking a highly skilled Data Scientist with expertise in Market Mix Modeling (MMM) using both Bayesian and frequentist approaches, particularly utilizing tools such as PyMC, LightweightMMM, and Robyn. The ideal candidate will have a strong background in Python programming, statistical analysis, and client-facing experience. Additionally, experience with econometric techniques such as Bayesian regression and Media Spend Optimization (MSO) is highly desirable.

Responsibilities:

• Develop and implement Market Mix Models (MMM) using Bayesian approaches, leveraging tools such as PyMC or LightweightMMM.
• Develop and implement Market Mix Models (MMM) using frequentist approaches, leveraging tools such as Robyn.
• Utilize Python programming skills, including proficiency in object-oriented programming concepts, Pandas, NumPy, and SciPy libraries, to manipulate and analyze large datasets.
• Apply statistical analysis techniques, with a focus on hypothesis testing methods, probability density functions (PDFs), and cumulative distribution functions (CDFs), to derive actionable insights from data.
• Engage directly with clients to understand business requirements, present statistical models and analysis findings, and translate complex concepts into business-friendly presentations.
• Collaborate with cross-functional teams to identify opportunities for Media Spend Optimization (MSO) and contribute to the development and implementation of such projects.
• Stay updated on emerging trends and advancements in data science, Bayesian modeling, frequentist modeling, and econometric technologies, and recommend innovative approaches to address business challenges.

Requirements:

• Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related field.
• Proven experience in Market Mix Modeling (MMM) using Bayesian approaches, with hands-on experience in PyMC or LightweightMMM.
• Proven experience in Market Mix Modeling (MMM) using frequentist approaches, with hands-on experience in Robyn.
• Strong proficiency in Python programming, including expertise in object-oriented programming, Pandas, NumPy, and SciPy libraries.
• In-depth understanding of statistical analysis techniques, hypothesis testing methods, probability density functions (PDFs), and cumulative distribution functions (CDFs).
• Excellent communication and presentation skills, with the ability to convey complex statistical concepts to non-technical stakeholders in a clear and concise manner.
• Experience in client-facing roles, with a track record of successfully delivering statistical models and analysis findings to clients.
• Familiarity with econometric techniques such as Bayesian regression and Media Spend Optimization (MSO) is highly desirable.

Brainlabs is proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know!

Please note that we will never ask you to transfer cash or make any other payment to us in order to apply for a role or to work for Brainlabs. Any such asks are fraudulent and should be reported to the appropriate authorities in your area.