Senior Data Scientist

Key Skills

Algorithms, Analytical and Problem solving, Bioinformatics, Causal inference, Computational Algorithms, Data Analysis, Data democratisation, Data Modeling, Data science techniques, Database testing, Deep Learning, Design, Design of Experiment, dplyr, DSPs, Effective communication skills, Framework, Gradient Boosting trees, Hypothesis testing, Infrastructure as code, Large data sets, Machine learning techniques, Mathematics, Operations Analytics, Pandas, Product Development, Python Programming, R Programming, Recommendation Systems, Regression Analysis, script, Shell Scripting language, SQL, Statistics

Job Description

The Impact You'll Be Contributing to Moloco:

Product Data Science (PDS) is the global team of data scientists whose mission is to provide data-driven insights to improve decision-making and design, resulting in best-in-class Demand Side Platform (DSP) products and services. As a senior data scientist in PDS, you will derive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system and provide a data-driven insight and scientific solution.

The Opportunity:

• Data Analysis and Research: analyzing a large dataset with queries and scripts, extracting valuable signals from noise, and producing actionable insights into how we could complete and improve Moloco’s complex ML and bidding system.
• Simulation and Modeling: validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modeling.
• Experimentation and Causal Inference: developing a robust experiment design and metric framework and providing reliable and unbiased insights for product and business decision-making.

How Do I Know if the Role is Right For Me?

Minimum Requirements:

• Bachelor’s degree in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering).
• 3+ years of work experience in data science-related fields or an advanced degree such as a Master’s or Ph.D. in a quantitative discipline with 2+ years of experience
• Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets, and using statistics to arrive at a recommendation.
• Excellent verbal and written communication skills, with the ability to present information and analyze results effectively.
• Ability to build positive relationships within DSA and with our stakeholders and work effectively with cross-functional partners in a global company.
• Statistics: must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.
• Machine Learning: must have a deep understanding of ML algorithms (i.e., deep learning, random forest, gradient boosted trees, k-means clustering, etc.) and their development, validation, and evaluation.
• Programming: experience with Python, R, or other scripting languages, and database language (e.g., SQL) or data manipulation (e.g., Pandas, Dplyr) are required.

Preferred:

• Advanced degree such as Master’s or PhD in a quantitative discipline.
• Ability to manage multiple projects at the same time while paying attention to detail and translating analysis results into business recommendations.
• Proven ability to own projects end-to-end, even when you have to get creative: you do more than complete delegated tasks.
• Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.

Moloco Thrive: Benefits and Well-Being: 

We take care of you and create the conditions for you to do the best work of your career. Through a lens of Inclusion, we offer innovative benefits which empower our employees to take care of themselves and their families so they can do the best work of their lives. For an overview of our global benefits, click here.

Moloco Values:

• Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.

• Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.

• Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.

• Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.