Chief Data Scientist

Company Description

When you join us, you're in top-tier company. For decades, we've enabled marketers from the world's highest profile brands to customize experiences for millions with our frontier technology, solutions and services. Epsilon's industry-leading identity gives brands a distinctive, privacy-compliant view of their customers, used across our suite of digital media, messaging and loyalty solutions. We process over 400 billion consumer actions daily and hold numerous patents for proprietary tech, including real-time modeling languages and advances in consumer privacy. Thanks to the combined effort of all our employees, Epsilon India has been certified as a Great Place to Work. Epsilon is also consistently acknowledged as a industry leader by Forrester, Adweek and the MRC. As a fundamental aspect of Publicis Groupe, Epsilon is global with more than 8,000 employees globally. For more information, visit epsilon.com/apac or check out our LinkedIn page.

Job Description

About BU

Armed with the world's largest and best established affiliate marketing network, the CJ Affiliate India team connects global brands and publishers to achieve growth on a substantial scale. Passionately committed to facilitating sustainable results, the team excels at providing meaningful solutions to real needs. The potent combination of Epsilon data, a culture of collaboration and an innovative spirit make this the ideal space for career growth. This team of diverse individuals consistently dares to think big and achieve even bigger results.

With more than 20 years' experience, CJ is the most trusted and established name in affiliate marketing. Since its inception in Santa Barbara, California in 1998, we have been dedicated to driving intelligent growth for our clients.

Spread across 14 offices worldwide, our employees passionately deliver novel solutions and strategies to produce impressive results. We dive deep, confronting the complex questions on behalf of our clients. As part of Publicis Groupe, one of the world's largest marketing and communications companies, and aligned with its media hub Publicis Media (PMX), our access to unparalleled data empowers us to offer a truly customer-centric approach to affiliate marketing.

For more information, visit https://www.cj.com/. Find us on LinkedIn at @CJ

What you can expect in this role

• As part of the Data Science team, you will imagine, create and launch data science and analytics capabilities for business and clients from start to finish.
• Working in Digital Marketing, you will support clients across multiple sectors (Retail, CPG, Travel, Finance and more)
• You will engage with Big Data and related platforms (Pyspark, Scala, SQL)
• You will thrive in an environment that plays to your strengths while simultaneously encouraging you to develop more skills.
• You will collaborate directly with business stakeholders across various departments (Product, Client Support, Sales and more).

Key responsibilities

• Work with clients and colleagues to pinpoint opportunities to leverage company data to drive business solutions.
• Develop a use case roadmap for a problem area or business capacity. Transform business challenges into Data Science or modeling problems.
• Extract data from multiple sources, mining and analyzing company databases to optimize and enhance products.
• Act as the data strategy lead, identifying and integrating new datasets that can be utilized through our product capabilities, and collaborate closely with Client Support, Product Management and the Engineering team to strategize and execute development of data products.
• Process, clean, and verify the integrity of data used for analysis. Conduct preprocessing of structured data.
• Data mine using state-of-the-art methods, selecting features, constructing and optimizing models using ML/AI techniques.
• Present technical solutions to internal and external stakeholders in a clear and comprehensive way, concisely communicating key concepts and functionalities
• Skillfully manage client expectations through frequent communication and high-quality results.
• Develop client-centric UI solutions for clients/stakeholders using BI tools like Tableau, Cognos, Excel or similar.
• Concurrently work on multiple assignments, handling priorities and challenges while meeting deadlines based on project plans and roadmaps.
• Oversee solution development in alignment with scrum principles, using JIRA effectively.
• Create self-service tools for error detection, diagnosis, and predictive metrics.
• Construct project plans, maintain to-do lists, organize work, adhere to coding ethics, and pay attention to details.
• Supervise and mentor 2-3 junior Data Scientists on their projects.

Qualifications

• Over 7 years of professional experience in data science or business intelligence
• Proven proficiency in PYTHON/SCALA/SQL and BIG DATA technologies, as well as demonstrated ability to program in big data/cloud technologies such as AWS & SPARK; minimum of four years' experience
• Experienced with Machine Learning algorithms including logistic regression, linear regression, lasso regression, k-means, random forest, XG boost, KNN, SVM and neural network; minimum 4 years' experience
• Capability to produce detailed documents/narratives providing actionable insights and recommendations using BI tools like Tableau
• Expertise with Microsoft Office suite; including Excel, PowerPoint, Word
• Excellent written and verbal communication skills for coordinating across teams.
• Self-motivated and results-oriented, willing to work hard to meet tight deadlines.
• Strong team player capable of effective collaboration across geographies and time zones.
• Good understanding of Digital Marketing in Retail, Finance or Travel Industry
• Professional experience working with R, Power BI, Cognos, Dash, Looker, Domo.
• Professional experience in multi-touch attribution, market mix modelling, fraud analytics, customer journey, churn modelling, customer segmentation, hypothesis testing, a/b testing and recommendation engines.

A Bachelor’s or Master’s degree in a quantitative field (e.g., data science, statistics, economics, mathematics, computer science) or significant relevant coursework/experience is preferred.

Additional Information