Lead Data Scientist

We are searching for a strategic and inquisitive Lead Data Scientist to Plan, Develop and run Data-Centred Projects. The chosen Candidate will be responsible for interacting with Clients, leading a Team, Project Management, and Developing all aspects of Data mining, Predictive Analytics, Solution Development to name a few.

Primary Responsibilities :

- Lead and Mentor a Team of Data Scientists/Data Analysts.

- Work as partner with Business in driving critical KPI improvements.

- Establish Scalable, Efficient Solutions for large scale Data Analysis, AI/ML Model Development, AI/ML Model Validation, AI/ML Model Implementation and AI/ML Model Automation.

- Writing Efficient, Reusable, Testable, and Scalable SQL, R & Python Code.

- Adhere to stringent Quality Assurance and Documentation Standards using Version Control and Code Repositories (e.g., Git, GitHub, Markdown).

- Communicate Complex Data or Algorithms into simple Conclusions that will empower Leadership to drive action based on the Insights derived.

- Design and implement reporting and metrics that track and monitor the performance of our Projects.

- Responsible for End-to-End Project Delivery & Stakeholder Management.

Requirements :

- Ability to Analyze complex Data and provide recommendations to Business.

- Proficient with Statistical Analysis, AI/ML Algorithms & applying them on Large Datasets.

- Establish Scalable, Efficient Solutions for large scale Data Analysis, AI/ML Model Development, AI/ML Model Validation, AI/ML Model Implementation and AI/ML Model Automation (MLOps).

- Excellent proficiency in Core Python Fundamentals, Python Programming, and other relevant Python Frameworks (such as Django, Flask etc.), Object Relational Mapper Libraries, SQL; Experience in No SQL Database like Mongo DB.

- Strong knowledge of AI/ML/DL Techniques, Algorithms, and tools with exposure to CNN, RNN (LSTM), Transformers (BERT).

- Experience with Training BERT, LSTM for different NLP tasks.

- Exposure to NLP Data Wrangling and Tokenization.

- Proficiency in working with Open-Source Deep Learning libraries like TensorFlow, Keras, Pytorch.

- A demonstrated ability to mentor Junior Team Members and proven Experience in collaborative work environments with External Clients & Project Management.

- Proficient in communicating technical findings to Non-Technical Stakeholders.

- Strong Presentation and Communication Skills.

Good to have :

- Exposure to Cloud Technologies like Azure, AWS or GCP

Lead Data Scientist

Education :

- Bachelor's/Master's degree in Engineering or any Quantitative discipline from Premier Institutes.

About Us :

Scienaptic is on a mission to increase credit availability by transforming technology used in credit decisioning. Over 150 years of credit experience is embedded in Scienaptic' s AI nativecredit decision platform. Our clients across banks, credit unions, fintech, and other lenders usethe platform to constantly improve the quality of underwriting decisions. This enables them to say 'yes' to borrowers more often and faster.

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