Jobs
Interviews
3 Job openings at DevsarTech
azure data engineer, DS, Devops expected experience 3yrs location banglore

Rajasthan, India

3 years

None Not disclosed

On-site

Full Time

Company Description At DevsarTech, we specialize in Data Science, AI, AI Agents, Data Engineering, Visualization, and App Development. From insights to automation, we deliver smart, scalable solutions tailored to your business goals. Our expertise enables us to drive efficiency, innovation, and growth for our clients. For more details, email: info@devsartech.com. Role Description This is a full-time, on-site role of an Azure Data Engineer located in Bangalore, India. The Azure Data Engineer will be responsible for designing, developing, and implementing data engineering solutions. Daily tasks include data modeling, developing ETL processes, managing data warehousing solutions, and performing data analytics to support business decision-making processes. Qualifications Proficient in Data Engineering and Data Modeling Experience with Extract Transform Load (ETL) processes and Data Warehousing Skilled in Data Analytics Excellent problem-solving and analytical skills Strong communication and teamwork abilities Experience with Azure cloud services Bachelor's degree in Computer Science, Information Technology, or related field Minimum of 3 years of relevant work experience Preferred experience in the tech or data science industry

Data Scientist – Demand & Pricing Analytics

Bengaluru, Karnataka, India

3 - 5 years

INR Not disclosed

On-site

Full Time

About the Role: We are seeking a data-driven and analytical Data Scientist to join our teamThe ideal candidate will play a critical role in shaping data-backed strategies for demand forecasting, price optimization, and demand elasticity modeling across product lines and sales channels. Key Responsibilities: Demand Forecasting: Develop and maintain advanced time-series or ML models to predict demand at SKU, category, and regional levels using historical sales, seasonality, promotions, and market trends. Price Optimization: Build dynamic pricing models to identify optimal price points, incorporating competitor analysis, elasticity, and inventory positions to maximize revenue and margins. Demand Elasticity Modeling: Analyze how price changes affect consumer demand across segments using statistical techniques and machine learning. Collaborate with product, merchandising, finance, and marketing teams to integrate insights into business decisions. Automate data pipelines and build dashboards for stakeholders to visualize forecasts and pricing scenarios. Conduct A/B testing and simulation modeling to validate forecasting and pricing strategies. Conduct A/B testing and simulation modeling to validate forecasting and pricing strategies. Required Skills & Experience: Bachelors or Masters degree in Data Science, Statistics, Economics, Applied Mathematics, or related fields. 3+ years of experience in retail analytics, pricing science, or demand forecasting. Proficient in Python/R, SQL, and relevant libraries (e.g., Scikit-learn, Statsmodels, Prophet, XGBoost). cloud platform - Azure. Strong understanding of econometrics, elasticity models, and optimization techniques. Excellent communication skills with the ability to present complex insights to non-technical stakeholders. Preferred Qualifications: Experience in fashion, footwear, or consumer goods industry. Familiarity with supply chain and inventory dynamics in retail. Knowledge of reinforcement learning or revenue management frameworks. Show more Show less

Data Scientist Demand & Pricing Analytics

karnataka

3 - 7 years

INR Not disclosed

On-site

Full Time

You will be joining our team as a Data Scientist where you will be responsible for developing data-backed strategies for demand forecasting, price optimization, and demand elasticity modeling. Your key responsibilities will include: - Developing advanced time-series or machine learning models to predict demand at SKU, category, and regional levels by analyzing historical sales, seasonality, promotions, and market trends. - Building dynamic pricing models to determine optimal price points considering competitor analysis, elasticity, and inventory positions to enhance revenue and margins. - Analyzing the impact of price changes on consumer demand across segments using statistical techniques and machine learning. You will work closely with product, merchandising, finance, and marketing teams to incorporate insights into business decisions. Additionally, you will automate data pipelines, create dashboards for stakeholders to visualize forecasts and pricing scenarios, and conduct A/B testing and simulation modeling to validate forecasting and pricing strategies. To be successful in this role, you should have: - A Bachelor's or Master's degree in Data Science, Statistics, Economics, Applied Mathematics, or a related field. - At least 3 years of experience in retail analytics, pricing science, or demand forecasting. - Proficiency in Python/R, SQL, and relevant libraries such as Scikit-learn, Statsmodels, Prophet, and XGBoost. - Knowledge of econometrics, elasticity models, and optimization techniques. - Strong communication skills to convey complex insights to non-technical stakeholders. Preferred qualifications include experience in the fashion, footwear, or consumer goods industry, familiarity with supply chain and inventory dynamics in retail, and knowledge of reinforcement learning or revenue management frameworks.,

cta

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

Job Titles Overview