Data Scientist

**Company Overview:

Infinite Analytics' AI platform, Sherlock, is transforming the way businesses gain consumer insights through its powerful knowledge graph. By leveraging the latest advancements in AI and machine learning, our no-code SaaS platform empowers enterprises to analyze consumer behavior in both the physical and digital worlds.

With a knowledge graph built from 40+ third-party datasets, Sherlock generates valuable consumer insights along with recommendations on how to grow their business. This eliminates the need for businesses to invest time, labor, and money into building complex data and analytics systems. The easy to use platform enables business users to access and action on these powerful insights without needing a data and data science team to interpret them.

As our platform continuously learns from global customers across various industries, the insights it provides become increasingly refined over time. These insights have already been applied to optimize marketing campaigns, select store locations, and improve marketing strategies across traditional and digital channels for clients in retail, CPG, banking, and auto sectors.

Overall, Sherlock democratizes consumer insights, giving businesses of all sizes the tools they need to make data-driven decisions and grow their businesses.

*Summary:
*We are looking for a Data Scientist who combines expertise in deep learning, causal AI, knowledge graphs, and time-series analysis to build models on our Sherlock AI marketing platform. This role is pivotal in leveraging massive connected data sets along with complex data science methods to optimize marketing campaigns and extract nuanced consumer insights, ultimately influencing strategic marketing decisions for our enterprise customers. In this role, you will be building models, testing them, and work with customers to deploy them in the real world applications.

Responsibilities:

1. Develop and refine marketing campaign models using a blend of deep learning, causal AI models, bandit models, and time-series analysis.
2. Utilize knowledge graphs to integrate diverse data sources, enhancing the depth and accuracy of consumer insights.
3. Apply advanced time-series analysis techniques, such as Deep Learning, RNNs, and LSTMs for analyzing user behavior data over time.
4. Collaborate with marketing teams to translate complex data insights into actionable marketing strategies.
5. Design and implement rigorous A/B testing and multivariate testing frameworks to evaluate marketing approaches.
6. Stay abreast of emerging trends in data science, including causal AI, knowledge graph fields, and advanced time-series analysis.
7. Communicate analytical concepts and findings to stakeholders in a clear, compelling manner.
8. Mentor junior data scientists and foster a culture of continuous learning and innovation.

Requirements:

1. Bachelor's or Master's degree in AI/Data Science, Statistics, or Computer Science.
2. Minimum 2+ years of experience in a data science role with a strong focus on marketing analytics.
3. Demonstrated expertise in atleast two of the deep learning, causal AI techniques, knowledge graphs, and advanced time-series analysis.
4. Proficiency in statistical modeling, machine learning, graph algorithms, deep learning and optimization methodologies.
5. Strong skills in programming languages such as Python and familiarity with data science frameworks.
6. Excellent analytical, problem-solving, and communication skills.
7. Work closely with data scientists, software engineers, business analysts, and product managers to understand requirements and design solutions that meet their needs

Opportunity:
This role offers a chance to work at the forefront of applying innovative data science technologies in the marketing domain. You will be instrumental in shaping the future of marketing strategies, delivering groundbreaking solutions that drive business growth at some of the best brands globally. You will have the opportunity to work closely with data scientists, software engineers, and product managers to deliver innovative data-driven solutions that solve our customers' toughest challenges.

***Salary commensurate with experience and grade/range