Data Scientist Executive, Investment Analytics

Bengaluru, Karnataka, India

Apply with AI Apply

Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Digital Marketing, Advertising, BiotechnologyIndustries

Requirements

Candidates must have fluency in English, programming proficiency in Python and SQL, and at least 1 year of experience in a data role. Experience analyzing media and web data from platforms like Amazon Marketing Cloud, Google ADH, Campaign Manager, Meta, and Google Analytics is required. Proficiency in data visualization tools such as Tableau, Looker, or Matplotlib, along with strong experience in the marketing ecosystem and measurement frameworks, is essential. Skills in media measurement methodologies like media mix modeling, incrementality analysis, and attribution modeling are necessary. Candidates should also possess an understanding of machine learning concepts with hands-on experience, a collaborative mindset, and problem-solving skills.

Responsibilities

The Data Scientist Executive will analyze data to discover trends and deliver actionable recommendations, working on EST hours (6:30 PM to 3:30 AM IST). They will explain and promote data science methodologies such as Media Mix Models, Geo-based Incrementality, Experiments, and Causal Impact Studies to enhance campaign performance. Responsibilities include developing and implementing Marketing Mix Models to improve media performance and revenue generation, and working with platform partners to advance mathematical techniques for testing and modeling. The role also involves documenting analytics projects for replication and scaling across the organization.

Skills

Data Analysis

Data Science

Media Mix Models

Geo-based Incrementality

Causal Impact Studies

Statistical Testing

Marketing Mix Models

Paid Media

Investment Analytics

Client Services

Data Visualization

Reporting

Jellyfish

Platform for engineering intelligence and strategy

About Jellyfish

Jellyfish offers a platform that integrates business and financial strategies into the Software Development Life Cycle (SDLC). It provides insights into engineering efforts, helping businesses improve planning and decision-making while identifying bottlenecks to enhance operational efficiency. The platform also tracks deliverable progress and focuses on team health by combining quantitative data with qualitative feedback. Jellyfish aims to improve the effectiveness of engineering teams, ensuring they can deliver value efficiently.

Boston, MassachusettsHeadquarters

2017Year Founded

$114MTotal Funding

SERIES_CCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

201-500Employees

Risks

Free DevEx product may cannibalize existing paid offerings, affecting revenue.

New managing director could lead to strategic shifts, causing internal disruptions.

Privacy concerns with Jellyfish Benchmarks may affect customer trust and retention.

Differentiation

Jellyfish aligns engineering efforts with business goals, enhancing strategic decision-making.

The platform offers unique insights into engineering data, improving planning and forecasting.

Jellyfish Benchmarks provides comparative performance data, setting it apart in engineering management.

Upsides

Increased demand for aligning engineering with business objectives boosts Jellyfish's market potential.

Availability on AWS Marketplace simplifies procurement, expanding Jellyfish's customer reach.

Free Developer Experience product enhances team health, attracting more users to the platform.

Land your dream remote job 3x faster with AI

Try Jobo Free