Data Scientist_3+yrs

Zorba AI; Bengaluru; On-site; INR 1,000,000 - 2,000,000; Full time

Job summary

A data science solutions company in Bengaluru is seeking a Machine Learning Specialist with 4-8 years of experience to tackle complex problems across various sectors. You will engage with clients, develop predictive models using ML algorithms, manage projects, and guide data science initiatives. Applicants should possess a Master’s degree in a relevant field and have strong programming and communication skills. This role offers a chance to lead significant AI and analytics programs.

Qualifications

• 4–8 years of relevant Machine Learning experience.
• Experience designing data science solutions to business problems.
• Deep understanding of ML algorithms for structured and unstructured data.

Responsibilities

• Work on various data science and machine learning problems across industries.
• Engage with clients to understand their business context.
• Develop predictive models using Machine Learning algorithms.

Skills

Data science

Machine learning

Programming (Python, R, SQL, NoSQL, Spark)

Project management

Statistical analysis

Client engagement

Communication skills

Education

Master’s Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, or related field

Tools

AWS

Azure

GCP

Python libraries (NumPy, pandas, scikit-learn, etc.)

Job description

About the Role

You will work on a broad range of cutting‑edge data science and machine learning problems across a variety of industries. You will be engaging with clients to understand their business context. If you are passionate about working on complex unstructured business problems that can be solved using data science and machine learning, we would like to talk to you.

Role: ALDS

Mandate - Skills & Competencies

• Experience in Programming (Python, R, SQL, NoSQL, Spark) with ML tools & Cloud Technology (AWS, Azure, GCP)
• Experience in Python libraries such as NumPy, pandas, scikit‑learn, tensor‑flow, scapy, scrapy, BERT etc.
• Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making.
• Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.)
• Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc.
• Contribute to internal product development initiatives related to data science.
• Develop data science roadmap, and guide data scientist to meet their deliverables.
• Handling end‑to‑end client AI & analytics programs. Your role will be a combination of hands‑on contribution, technical team management, and client interaction.
• Proven ability to discover solutions hidden in large datasets and to drive business results with their data‑based insights.
• Drive excellent project management required to deliver complex projects, including effort/time estimation.
• Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy.
• Define Technology/ Strategy and Roadmap for client accounts, and guide implementation of that strategy within projects.
• Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed by all stakeholders.
• Manage the team‑members, to ensure that the project plan is being adhered to over the course of the project.
• Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates.
• Build a trusted advisor relationship with the IT management at clients and internal accounts leadership.
• Build business case for technological investments to be made for future needs and to remain competitive.
• Ensure that billing and utilization of team members is maximized throughout the year.

Desired Skills

• Experience designing data science solutions to business problems.
• Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems.
• Comfortable with large scale data processing and distributed computing.
• Allocates workload among team members and by taking into consideration employee availability, skill set, and current workload when making assignments.
• Providing required inputs to sales, and pre‑sales activities.
• Excellent written and verbal communication skills.

Desired Experience & Education

• 4–8 years of relevant Machine Learning experience.
• Minimum Master’s Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields.

Skills: data science, machine learning, algorithms.