Associate Lead Data Scientist (ALDS)

Mopid; Bengaluru; Vor Ort; INR 2.000.000 - 3.000.000; Vollzeit

Zusammenfassung

Mopid Bengaluru, India, is seeking a senior data scientist to lead end‑to‑end AI and analytics programs across industries. You will work closely with clients, deliver data science solutions, and guide teams on predictive modeling, NLP and large‑scale data projects.

The role requires hands‑on data science, technical leadership, and strong communication to translate business problems into analytics outcomes. 4–6 years of ML experience, including Generative AI, are required.

Qualifikationen

• 4 - 6 years of relevant machine learning experience, including at least 1 year in Generative AI

Aufgaben

• Design data science solutions for business problems in Retail, Pharma, Banking, Insurance and other domains
• Develop predictive models using ML algorithms such as SVM, Random Forest, Neural Networks, Decision Trees, Regression, K-Means and PCA
• Design statistical hypothesis tests to support formal decision‑making
• Uncover insights hidden in large datasets and turn them into business results
• Contribute to internal data science product development initiatives
• Build the data science roadmap and guide data scientists to meet their deliverables
• Allocate work based on team members’ availability, skills and current workload
• Handle project management, including effort and time estimation
• Run regular project reviews and audits to keep delivery within agreed guardrails
• Maximize team billing and utilization throughout the year
• Understand complex client problem statements and offer the right solutions
• Own the engagement and build scalable processes for faster turnaround and higher accuracy
• Define technology strategy and roadmaps for client accounts and guide their implementation
• Manage client stakeholders and expectations through weekly meetings and status updates
• Build trusted‑advisor relationships with client IT management and internal account leadership
• Build business cases for future technology investments
• Provide inputs to sales and pre‑sales activities

Kenntnisse

Python

R

SQL

NoSQL

Spark

NumPy

pandas

scikit-learn

TensorFlow

spaCy

Scrapy

BERT

Generative AI

ML

Data science

Ausbildung

Master's degree in a relevant technical field

Tools

AWS

Azure

GCP

Jobbeschreibung

Location: Bengaluru, India
Salary: ₹20 - 30 LPA
Education: Master’s degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or a related technical field
Experience: 4 - 6 years (minimum 1 year in Generative AI)
Job Type: Full-time

About the Role

You’ll work on a broad range of cutting‑edge data science and machine learning problems across industries. You’ll engage with clients to understand their business context and own end‑to‑end AI and analytics programs. This role combines hands‑on data science, technical team leadership and client interaction. If you enjoy solving complex, unstructured business problems with data science and machine learning, we’d like to talk to you.

What You’ll Do

Data Science & Delivery

• Design data science solutions for business problems in Retail, Pharma, Banking, Insurance and other domains
• Develop predictive models using ML algorithms such as SVM, Random Forest, Neural Networks, Decision Trees, Regression, K‑Means and PCA
• Design statistical hypothesis tests to support formal decision‑making
• Uncover insights hidden in large datasets and turn them into business results
• Contribute to internal data science product development initiatives
• Build the data science roadmap and guide data scientists to meet their deliverables
• Allocate work based on team members’ availability, skills and current workload
• Handle project management, including effort and time estimation
• Run regular project reviews and audits to keep delivery within agreed guardrails
• Maximize team billing and utilization throughout the year

Client & Business

• Understand complex client problem statements and offer the right solutions
• Own the engagement and build scalable processes for faster turnaround and higher accuracy
• Define technology strategy and roadmaps for client accounts and guide their implementation
• Manage client stakeholders and expectations through weekly meetings and status updates
• Build trusted‑advisor relationships with client IT management and internal account leadership
• Build business cases for future technology investments
• Provide inputs to sales and pre‑sales activities

What We’re Looking For

• 4 - 6 years of relevant machine learning experience, including at least 1 year in Generative AI
• Programming experience in Python, R, SQL, NoSQL and Spark
• Hands‑on experience with Python libraries such as NumPy, pandas, scikit‑learn, TensorFlow, spaCy, Scrapy and BERT
• Experience with cloud platforms (AWS, Azure or GCP)
• Strong statistics foundation
• Deep understanding of ML algorithms for both structured and unstructured data
• Comfortable with large‑scale data processing and distributed computing
• Strong project management and team management skills
• Excellent written and verbal communication skills
• Master’s degree in a relevant technical field