Technical Writer

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.

Description:

At Digicorp, we design and develop world-class digital products for startups, scale-ups, and enterprises. We specialize in building web, mobile, and cloud-based applications that are scalable, simple, and impactful. Our mission is to help businesses turn ideas into meaningful software products that create real value.

What we are looking for?

• A MERN Stack Developer with 3–5 years of experience.
• Strong expertise in Node.js, React.js, and Python.
• Passion for coding, problem-solving, and building innovative solutions.
• Team player with good communication skills and a proactive mindset.

What will you do at Digicorp?

• Develop, test, and maintain scalable web applications using MERN stack.
• Write clean, reusable, and efficient code in Node.js, React.js, and Python.
• Collaborate with designers, product managers, and other developers to deliver high-quality solutions.
• Optimize applications for performance, scalability, and speed.
• Debug and fix issues to ensure smooth functionality of applications.
• Stay updated with the latest technologies and apply best practices in development.

Join us as an Unlisted Stock Broker and embark on a rewarding career! The unlisted stock market, a burgeoning sector, offers vast opportunities beyond traditional exchanges, with trading volumes in India reportedly reaching around INR 25 billion monthly by 2024—a sixfold surge from previous years. Fueled by pre-IPO investments, private equity, and off-market deals, this market’s scope is expanding rapidly, presenting a lucrative field for ambitious professionals. We are forming a lean, high-performance team of unlisted stock brokers and invites young, driven individuals eager to succeed.

What You’ll Get:

20 days of intensive, hands-on sales training to hone your expertise, full support to ace the NISM certification, and real-world exposure with live clients and authentic deals.

What You’ll Do After Training:

Onboard 10 clients with a minimum investment of INR 10L each,

Make 100+ calls daily,

Meet clear performance milestones, pass the exam, and become a certified broker.

This role is your launchpad if you’re ambitious, disciplined, and hungry to prove yourself.

With limited seats available, screening starts this week—apply now to seize this opportunity in the thriving unlisted stock market!

1. Design patterns- socket communication/ micro services architecture 
2. Caching - REDIS MEMCACHED etc
3. Database - MONGO, SQL etc. min 2yrs experience with these.
4. Features created for large concurrent requests.
5. Node Js, Go lang any asynchronous programming language min 2 yrs exp with any one of them.
6. Message Queues - RABBIT MQ, Kafka etc.

Job Designation:  Software Developer - Full Stack

Job Location:  Bangalore

• Understand and identify requirements
  
• Design
  
• Coding
  
• Unit Tests
  
• Documentation
• Must have 1-4 years of experience as Full Stack Developer

We are hiring React JS Developer for Dehradun location

• In depth knowledge of React JS.
• Experience creating front end applications using HTML5, CSS, bootstrap.
• Hands on experience with JavaScript Development on both client and server-side.
• Ability to work both independently and in collaborative teams to communicate design and build ideas effectively.
• Able to handle multiple projects and competing deadlines.
• Good understanding of overall web design including basic usability, accessibility, industry standards, architecture, and navigation.
• Excellent communication and Client interaction.

Roles & Responsibilities:

• Candidate must be a .Net, Angular resource with experience in integerating and working in a Microsoft full stack environment
• Candidate shall be primarly responsible for the development of Angular UI, ReactJs and C# Web API Based Microservice.
• Candidate must have strong hands on expertise in C#, databases, database interface layers
• The candidate must have strong communication skills, should be able to work across both Business Users and IT teams across regions and as needed lead IT team deliverables
• Working understanding of Agile development methodologies & understanding of DevOps Integration
• Work in an Agile Squad as a .Net + Angular developer
• Actively contribute and participate in sprint grooming and planning discussions, daily stand-ups, and Agile ceremonies

• Architect new systems and improve existing ones by instrumenting best practices and technologies.
• Identify and build automated tools for release management, deployment, monitoring and reporting
• Identity and implement latest technologies and frameworks for application system stack, deployments, automation, capacity management, resource orchestration and availability.
• Responsible for fixing support escalation cases and conducting post-incident reviews / Root Cause Analysis.

• Plan and execute all digital marketing, including SEO/SEM, marketing database, email, social media and display advertising campaigns
• Design, build and maintain our social media presence
• Measure and report performance of all digital marketing campaigns, and assess against goals (ROI and KPIs)
• Identify trends and insights, and optimize spend and performance based on the insights
• Brainstorm new and creative growth strategies
• Plan, execute, and measure experiments and conversion tests
• Collaborate with internal teams to create landing pages and optimize user experience
• Utilize strong analytical ability to evaluate end-to-end customer experience across multiple channels and customer touch points
• Instrument conversion points and optimize user funnels
• Collaborate with agencies and other vendor partners
• Evaluate emerging technologies. Provide thought leadership and perspective for adoption where appropriate