Data Science Manager

6 days ago


Remote, India MindTrilogy IT Solutions Pvt. Ltd Full time

Experience : 5 to 8 Years.

Work From Offsite.

Required Skills :

data science NLP Phd Machine Learning.

Job Description :

We are seeking self-motivated and responsive individuals with a passion for data to join our dynamic team.

As a key contributor, you will work collaboratively with statistical analysts, business analysts, and data engineers throughout the project lifecycle.

This hands-on role involves data extraction, feature engineering, model design and development, and more to create impactful, value-adding solutions that address real business challenges.

Core Responsibilities :

- Collaborate with business teams to identify critical questions and develop data-driven solutions to address them.

- Document data sources, methodologies, and analyses thoroughly for ongoing reference and improvement.

- Partner with stakeholders to understand business requirements and design new data provisioning pipelines for Finance/External Reporting domains.

- Apply advanced statistical methodologies (e., regression, statistical tests, properties of distributions) appropriately to business challenges.

- Develop end-to-end Natural Language Processing (NLP) methodologies, including sentiment analysis, text classification, and topic modeling.

- Employ advanced data mining and modeling techniques (e., GLM/Regression, K-Means Clustering, Decision Trees, Random Forests, Naive Bayes, NLP, AI, Social Network Analysis) and assess their suitability for various business problems.

- Proactively dig deeper into stakeholders' requests to understand the bigger picture and capture insights that drive business value.

Qualifications :

- PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, Engineering, or a related quantitative field.

- A graduate degree in a quantitative field is highly preferred.

- 4+ years of experience in data engineering, analytics, or data science roles.

- 1+ years of experience in Natural Language Processing methodologies.

- Strong proficiency in Python, Spark ML, and SQL; exposure to R and SAS is a plus.

- Familiarity with Google Cloud Platform (GCP) is preferred.

- Enthusiastic and quick to learn, with a solid mathematical foundation and a passion for coding.

- Experience in applying statistics and machine learning to solve complex business challenges.

- Financial services experience is a plus but not required.

(ref:hirist.tech)
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