Sales Manager

About the Role

We are looking for an analytical and detail-oriented Data Scientist with deep expertise in graph analytics, network analysis, and scalable data engineering. This is not a conventional machine learning role — the focus is on understanding complex relationships, structures, and patterns within large-scale datasets using graph-based methods and statistical modeling. You will work in a collaborative, fast-paced environment and be expected to contribute across the full data lifecycle — from raw data exploration through to production-grade analytical systems.

This is a full-time, in-office role based out of our Pune office (5 days a week).

Key Responsibilities

Graph Analytics & Network Analysis

• Design and implement graph-based models to identify patterns, clusters, communities, and relationships within complex datasets.

• Apply network analysis techniques using metrics such as clustering coefficient, degree assortativity, density, Gini index, and small-world index.

• Perform multi-hop network traversals and community detection using algorithms such as Louvain partitioning and similar graph clustering approaches.

• Build and query graph databases (Neo4j, ArangoDB) using Cypher Query Language to extract structural insights from connected data.

• Leverage GPU-accelerated graph libraries (cuGraph) to scale graph computations across large datasets efficiently.

Data Engineering & Pipeline Development

• Conduct thorough Exploratory Data Analysis (EDA) on large-scale structured and semi-structured datasets to surface quality issues, distributions, and key features.

• Build, optimize, and maintain scalable data pipelines and stored procedures across cloud data platforms such as BigQuery, PostgreSQL, or Hive.

• Automate data workflows using orchestration tools such as Apache Airflow or Kubeflow Pipelines.

• Apply GPU-accelerated computing (CUDA, CuPy, cuDF) to optimize processing performance on high-volume data workloads.

• Ensure data integrity, reproducibility, and documentation across all analytical workflows.

Statistical Modeling & Insight Generation

• Apply statistical modeling techniques to detect behavioral anomalies, trends, and patterns within datasets.

• Use time series analysis to identify temporal patterns and changes in data over time.

• Translate analytical findings into clear, actionable insights for both technical and non-technical stakeholders.

• Build dashboards and reports using visualization tools (e.g., Trino Superset) to communicate results effectively.

Collaboration & Documentation

• Work closely with product, engineering, and business teams to understand requirements and deliver relevant analytical solutions.

• Contribute to internal knowledge sharing through workshops, documentation, and peer reviews.

• Maintain well-documented codebases and analytical frameworks for long-term maintainability.

Required Skills & Qualifications

Must-Have

• 3+ years of experience in a Data Science, Data Analytics, or Graph Analytics role.

• Strong proficiency in Python with hands-on experience using NumPy, Pandas, CuPy, and cuDF.

• Practical experience with graph analytics libraries — NetworkX, cuGraph, Neo4j, or ArangoDB.

• Solid understanding of graph theory concepts: community detection, network metrics, graph traversal, and clustering algorithms.

• Proficiency in SQL; experience with BigQuery, PostgreSQL, MS SQL, Hive, or similar databases.

• Experience with GPU-based computing using CUDA for performance-critical data tasks.

• Strong analytical thinking and ability to work independently on ambiguous, open-ended problems.

Good to Have

• Experience with Cypher Query Language for querying graph databases (Neo4j / ArangoDB).

• Familiarity with graph ML frameworks such as PyTorch Geometric.

• Exposure to workflow orchestration tools — Apache Airflow or Kubeflow Pipelines.

• Knowledge of cloud data tools such as Trino, MinIO, or IBM Datastage.

• Basic scripting skills in Bash or C++ for automation or performance tasks.

• Experience presenting data insights to senior stakeholders or cross-functional teams.

• Research publications, patents, or open-source contributions in graph analytics or data science are a strong plus.

What We Offer

• Opportunity to solve high-impact, large-scale data problems using modern graph and analytics tools.

• Exposure to cutting-edge technologies including GPU-accelerated computing and graph ML.

• Collaborative, intellectually stimulating work environment with a strong engineering culture.

• Competitive compensation with performance-based incentives.

• Learning & development support — certifications, courses, and conference participation.

• Centrally located Pune office with a structured, in-person team culture.

We are looking for a Mobile Application Developer with minimum 2+ years of hands-on development experience.

The candidate should have practical exposure in:

• Mobile application development 

• API integration

• UI implementation

• App deployment and maintenance

Location: Bangalore

Experience: 5–8 Years

CTC: Up to 22 LPA

Required Skills:

• Strong expertise in Power BI (dashboarding, DAX, data modeling, report building).
• Basic to working knowledge of Tableau.
• Solid understanding of SQL and relational databases.
• Experience in connecting to various data sources (Excel, SQL Server, APIs, etc.).
• Strong analytical, problem-solving, and communication skills.

Nice to Have:

• Experience with cloud data platforms (Azure, AWS, GCP).
• Knowledge of data warehousing concepts and ETL processes.

Responsibilities:

. Create exclusive distributors, super stockiest and business associates for the company.

.Guide them and coordinate them to achieve the target towards the entire growth of the company.

.Finding and developing new marketing ideas and improving sales.

. Observe all the stock reports, product orders, re-order etc.

Requirements:

.Bachelor's degree and experience in business, marketing or related field.

.Strong communication skills.

. Basic knowledge of Word, excel, and PowerPoint.

.Minimum age is 30 and the maximum is 60.

Bachelor’s degree in computer science, computer engineering or similar.

• Previous work experience of 4-6 years as an angularJS developer.
• Proficient in CSS, HTML, and writing cross-browser compatible code.
• Experience using JavaScript building tools like Gulp or Grunt.
• Knowledge of JavaScript MV-VM/MVC frameworks including AngluarJS.
• Excellent project management skills.
• Proven experience implementing front-end and back-end JavaScript applications.
• Excellent communication skills.
• Critical thinker and good problem-solver.

• Develop frontend components on ReactJS with Redux as state management library
• Should have good knowledge of tailwind CSS
• Must have expertise in JavaScript, ES6, React-Redux, HTML/CSS
• Familiarity with build tools such as Webpack, Babel
• Experience with testing tools such as Jest
• Experience in web security and performance on mobile and desktop
• Familiarity with Git.
• Should be able to make mobile responsive designs
• Knowledge on PWA would be an added advantage

• Develop backend APIs on Express.js and NodeJS
• Should be good with SQL database and perform DDL,DRL,DQL,DCL on database ,preferably PostgresDb.
• Should have familarity with ORM such as sequilize.
• Knowledge on server-less architecture is good
• Experience with monitoring tools web performance and caching techniques
• Experience working in agile methodology projects
• Should have knowledge of design patterns, design practices
• Should have the ability to design and write reusable code
• Ready to work in a challenging and fast-paced environment
• Experience in building Cloud Native applications
• Experience in test-driven development