Data Scientist/ Data Analyst

TymblHub; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

V2 Solutions in Hyderabad, India seeks a data scientist to apply advanced analytics and optimization within the supply chain domain. You will build data solutions, forecast demand, and deliver insights for clients.

The role requires 4+ years of experience, a Bachelor's degree, strong English, and hands-on experience with LP/MILP and forecasting methods. You will mentor juniors and ensure data quality across pipelines.

Qualifications

• Bachelor's degree required.
• 4+ years of experience.
• Proficient in English (oral and written).
• Strong supply chain domain knowledge (inventory planning, demand forecasting, logistics).
• Hands-on optimization methods experience (LP, MILP, scheduling); familiarity with Gurobi is a plus.
• Experience with forecasting techniques (HoltWinters, ARIMA, ARIMAX, SARIMA, SARIMAX, FBProphet, NBeats) and ML techniques.

Responsibilities

• Leverage analytics to extract insights from large datasets.
• Design robust data solutions to transform raw data into actionable insights.
• Perform exploratory and descriptive analysis to inform decisions.
• Create data visualizations to solve business problems.
• Apply ML and predictive modeling to improve decisions.
• Collaborate with clients to understand data needs and deliver tailored solutions.
• Manage data pipelines and ensure data quality throughout analysis.
• Apply data science workflows to streamline processes and improve efficiency.
• Integrate AI and deep learning techniques to drive innovation.
• Mentor junior team members in data science methodologies.
• Interpret data to provide insights and recommendations for business growth.
• Uphold professional and technical standards in client engagements.

Skills

Supply chain domain

Optimization methods

Gurobi experience

Forecasting techniques

Machine learning

English proficiency

Education

Bachelor's degree

Tools

Gurobi

Job description

• Leveraging advanced analytics and statistical techniques to extract insights from large datasets
• Designing and developing robust data solutions to transform raw data into actionable insights
• Conducting exploratory and descriptive analysis to inform strategic decision-making
• Creating data visualizations to solve complex business problems
• Utilizing machine learning algorithms and predictive modeling to enhance data-driven decision making
• Collaborating with clients to understand their data needs and deliver tailored solutions
• Managing data pipelines and confirming data quality throughout the analysis process
• Applying data science workflows to streamline processes and improve efficiency
• Integrating artificial intelligence and deep learning techniques to drive innovation
• Mentoring junior team members and guiding them in data science methodologies
• Interpreting data to provide insights and recommendations for business growth
• Upholding professional and technical standards in all client engagements

What You Must Have

• At least a Bachelor's degree
• At least 4 years of experience
• Oral and written proficiency in English required
• Strong supply chain domain knowledge (inventory planning, demand forecasting, logistics)
• Well versed and hands-on experience of working on optimization methods like linear programming, mixed integer programming, scheduling optimization. Having understanding of working on third party optimization solvers like Gurobi will be an added advantage
• Proficiency in forecasting techniques (e.g., HoltWinters, ARIMA, ARIMAX, SARIMA, SARIMAX, FBProphet, NBeats) and machine learning techniques (supervised and unsupervised)