What are the responsibilities and job description for the Data Scientist position at Enlyft?
About Enlyft
Data and AI are at the core of the Enlyft platform. We are looking for creative, customer and detail-obsessed machine learning engineers who can contribute to our strong engineering culture. Our big data engine indexes billions of structured / unstructured documents and leverages data science to accurately infer the footprint of thousands of technologies and products across millions of businesses worldwide. The complex and evolving relationships between products and companies form a technological graph that is core to our predictive modeling solutions. Our machine learning based models work by combining data from our customer's CRM with our proprietary technological graph and firmographic data, and reliably predict an account's propensity to buy.
About the Role
Enlyft has an exciting opportunity for a Data Scientist to join a rapidly growing SaaS company that is disrupting B2B customer acquisition with AI. You will be a founding member of our India team. The ideal leader will help us build and scale a strong data science team, while owning several production level predictive models. The ideal candidate is someone excited by the challenge of building and leading a Data Science team and excited by the opportunity to learn and make a strong impact in a fast growing startup.
Responsibilities:
- Develop and Deploy predictive models in production and conduct advanced analytics, data mining, and data visualization to influence strategic decisions
- Architect and build data models to transform data into insights at scale
- Evaluate model performance and conduct iterative model training to maximize predictive and forecast accuracy on an on-going basis.
Requirements:
- Bachelor or above degree in Computer Science, Applied Mathematics, Statistics, Econometrics, or related field
- 4-6 years of work experience depending on educational level and relevance
- Sharp analytical abilities and problem solving skills
- Working knowledge of Statistics, programming and predictive modeling
- Expert knowledge of Python or a related scripting language, familiarity with Python packages such as pandas, numpy, scipy, nltk is a must. Databricks & Spark are good to have
- Comfort manipulating and analyzing complex, high-volume, high dimensionality data coming from various data sources
- Experience working with databases like MySQL, NoSQL, MongoDB, SQL Server, Oracle or Teradata.
Why join Enlyft
- A foundational member in a bootstrapped startup with a mission to drive transformation at scale
- A top-notch culture that is customer obsessed, transparent and constantly strives for excellence
- A top-notch team with colleagues that will help you learn and grow in a collaborative environment
- Competitive pay and great benefits
Enlyft is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.