
Job Description
We are looking for a Data Scientist with 3–5 years of experience in data analysis, statistical modeling, and machine learning to drive actionable business insights. This role involves translating complex business problems into analytical solutions, building and evaluating ML models, and communicating insights through compelling data stories. The ideal candidate combines strong statistical foundations with hands-on experience across modern data platforms and cross-functional collaboration.
What will you need to be successful in this role?
Core Data Science Skills
• Strong foundation in statistics, probability, and mathematical modeling
• Expertise in Python for data analysis (NumPy, Pandas, Scikit-learn, SciPy)
• Strong SQL skills for data extraction, transformation, and complex analytical queries
• Experience with exploratory data analysis (EDA) and statistical hypothesis testing
• Proficiency in data visualization tools (Matplotlib, Seaborn, Plotly, Tableau, or Power BI)
• Strong understanding of feature engineering and data preprocessing techniques
• Experience with A/B testing, experimental design, and causal inference
Machine Learning & Analytics
• Strong experience building and deploying ML models (regression, classification, clustering)
• Knowledge of ensemble methods, gradient boosting (XGBoost, LightGBM, CatBoost)
• Understanding of time series analysis and forecasting techniques
• Experience with model evaluation metrics and cross-validation strategies
• Familiarity with dimensionality reduction techniques (PCA, t-SNE, UMAP)
• Understanding of bias-variance tradeoff and model interpretability
• Experience with hyperparameter tuning and model optimization
GenAI & Advanced Analytics
• Working knowledge of LLMs and their application to business problems
• Experience with prompt engineering for analytical tasks
• Understanding of embeddings and semantic similarity for analytics
• Familiarity with NLP techniques (text classification, sentiment analysis, entity,extraction)
• Experience integrating AI/ML models into analytical workflows
Data Platforms & Tools
• Experience with cloud data platforms (Snowflake, Databricks, BigQuery)
• Proficiency in Jupyter notebooks and collaborative development environments
• Familiarity with version control (Git) and collaborative workflows
• Experience working with large datasets and distributed computing (Spark/PySpark)
• Understanding of data warehousing concepts and dimensional modeling
• Experience with cloud platforms (AWS, Azure, or GCP)
Business Acumen & Communication
• Strong ability to translate business problems into analytical frameworks
• Experience presenting complex analytical findings to non-technical stakeholders
• Ability to create compelling data stories and visualizations
• Track record of driving business decisions through data-driven insights
• Experience working with cross-functional teams (Product, Engineering, Business)
• Strong documentation skills for analytical methodologies and findings
Good to have
• Experience with deep learning frameworks (TensorFlow, PyTorch, Keras)
• Knowledge of reinforcement learning and optimization techniques
• Familiarity with graph analytics and network analysis
• Experience with MLOps and model deployment pipelines
• Understanding of model monitoring and performance tracking in production
• Knowledge of AutoML tools and automated feature engineering
• Experience with real-time analytics and streaming data
• Familiarity with causal ML and uplift modeling
• Publications or contributions to data science community
• Kaggle competitions or open-source contributions
• Experience in specific domains (finance, healthcare, e-commerce)

About Byteridge
About
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Job Description :
Scope of Responsibilities
Communicate with data providers to source appropriate data content and formats within required timelines.
Evaluate completeness and accuracy of input data, working closely with internal teams and hedge fund managers.
Reconcile input data with other data points, clear exceptions/rejects, and perform mapping/modeling of positions.
Collaborate closely with team members across locations, particularly Mumbai.
Report progress, metrics, and queue status to management.
Maintain relationships with fund administrators and hedge funds.
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Handle ad-hoc analytical or operational requests as required.
Required Skills and Knowledge:
Strong attention to detail, organization, and adherence to deadlines.
Effective problem-solving and collaboration skills.
Financial background with understanding of derivatives, global markets, investment instruments, and risk management.
High proficiency in Microsoft Excel.
Experience working with large datasets or market data systems is preferred.
Derivatives knowledge is a must.
Software Development Engineer III (React Native)
Experience: 7+ years
About Wekan Enterprise Solutions
Wekan Enterprise Solutions is a leading Technology Consulting company and a strategic investment partner of MongoDB. We help companies drive innovation in the cloud by adopting modern technology solutions that help them achieve their performance and availability
requirements. With strong capabilities around Mobile, IOT and Cloud environments, we have an extensive track record helping Fortune 500 companies modernize their most critical legacy and on-premise applications, migrating them to the cloud and leveraging the most cutting-edge technologies.
Job Overview
We are seeking an experienced and passionate Mobile Software Development Engineer (SDE-3) with expertise in React Native. In this senior role, you will lead efforts to modernize legacy applications and develop new, high-performance mobile applications for large enterprise
clients and growth-stage startups. You will play a key role in mission-critical projects, working closely with business stakeholders, customer technical teams, and MongoDB Solutions Architects.
The ideal candidate will have strong technical leadership, system design expertise, and a track record of mentoring junior engineers. You will thrive in a fast-paced environment, driving the delivery of scalable, high-quality mobile applications.
Location - Chennai or Bangalore
Required Experience and Skills:
● 7+ years of experience in mobile application development, with at least 3+ years of hands-on experience working with React Native and TypeScript.
● Proven experience building high-performance mobile applications for
enterprise-grade solutions or high-traffic consumer apps.
● Solid understanding of mobile architecture, component design, and system performance optimization, with hands-on experience in testing, debugging, and performance tuning.
● Expertise in integrating RESTful APIs, third-party SDKs, and cloud services into mobile applications.
● Experience with state management libraries such as Redux or Context API.
● Strong proficiency in JavaScript (ES6+) and TypeScript, with a deep understanding of modern front-end development practices.
● Hands-on experience with mobile build tools, CI/CD pipelines, and version control systems.
● Strong problem-solving skills, attention to detail, and experience writing and maintaining clear, detailed technical documentation.
● Excellent verbal and written communication skills, with the ability to clearly explain complex technical concepts to both technical and non-technical stakeholders.
Good to Have Skills:
● Familiarity with Atlas Device Sync, Ditto, PowerSync, ObjectBox, or similar technologies for offline-first solutions and data synchronization in mobile apps.
● Experience with native mobile development (e.g., Swift for iOS, Kotlin/Java for Android).
● Familiarity with cloud platforms such as AWS, Azure, or GCP, and Mobile Backend-as-a-Service (MBaaS) solutions (e.g., Firebase, AWS Amplify).
About the Company
Our client is a leading manufacturer of TMT Bar and exporter in India. They are a well known group that achieves a turn over of 3000 Cr per annum. The group is setting a construction & architecture oriented omni channel B2B & B2C platform. Merito, a curated talent platform is responsible to identify key resources for this project.
Job Location: Kolkata
Job Description
- Full stack e-commerce developer is responsible for writing reusable, testable, and efficient code
- Design and implementation of low-latency, high-availability, and performance applications
- Implementation of security and data protection
- Understanding of performance testing and optimization techniques
Requirements
- Fullstack developer should have the ability to translate Wireframes and PSD Designs into functional web apps.
- Binding of UI elements to JavaScript object models
- Creating RESTful services with Node.js
- Fullstack developer must have proven experience in front & back-end development
- Work in a cross-functional team to deliver a complete user experience
- Reactjs Nodejs developer must know MongoDB, Express, Node.js, & React.
- Create Unit and Integration tests to ensure the quality of code
- Be responsive to change requests and feature requests
- Write code that is cross-platform and cross-device compatible
- Full developer must have the ability to wear many hats and learn new technologies quickly
- Understanding & proficiency in REST APIs.
- Fullstack developer should know Git Repository and Jira.
o You’re both relentless and kind, and don’t see these as being mutually
exclusive
o You have a self-directed learning style, an insatiable curiosity, and a
hands-on execution mindset
o You have deep experience working with product and engineering teams
to launch machine learning products that users love in new or rapidly
evolving markets
o You flourish in uncertain environments and can turn incomplete,
conflicting, or ambiguous inputs into solid data-science action plans
o You bring best practices to feature engineering, model development, and
ML operations
o Your experience in deploying and monitoring the performance of models
in production enables us to implement a best-in-class solution
o You have exceptional writing and speaking skills with a talent for
articulating how data science can be applied to solve customer problems
Must-Have Qualifications
o Graduate degree in engineering, data science, mathematics, physics, or
another quantitative field
o 5+ years of hands-on experience in building and deploying production-
grade ML models with ML frameworks (TensorFlow, Keras, PyTorch) and
libraries like scikit-learn
o Track-record in building ML pipelines for time series, classification, and
predictive applications
o Expert level skills in Python for data analysis and visualization, hypothesis
testing, and model building
o Deep experience with ensemble ML approaches including random forests
and xgboost, and experience with databases and querying models for
structured and unstructured data
o A knack for using data visualization and analysis tools to tell a story
o You naturally think quantitatively about problems and work backward
from a customer outcome
What’ll make you stand out (but not required)
o You have a keen awareness or interest in network analysis/graph analysis
or NLP
o You have experience in distributed systems and graph databases
o You have a strong connection to finance teams or closely related
domains, the challenges they face, and a deep appreciation for their
aspirations
Job Description-
Company: NNIIT
NNIIT is a pioneering Edtech with the goal of empowering individuals in the digital age. We are actively seeking talented individuals to join our dynamic team in Hyderabad. If you meet the qualifications and are passionate about making an impact in the Ed-tech sector, keep reading!!
Note : Apply only if you have K12(JEE, NEET) Ed-tech Experience in any form.
Salary: 3-6 LPA
Job Location: Hyderabad (On site)
Roles & Responsibilities:-
- Source new sales opportunities through inbound lead follow-up and outbound cold calls and emails.
- Going to home conduction is a must.
- Calling to 250+ calls/day and maintaining 3hrs of Talk-time thus booking 10 conductions for the week for each day.
- Understand customer needs and requirements with strong academic knowledge.
- Route qualified opportunities to the appropriate sales executives.
- Close sales and achieve quarterly quotas.
- Research accounts, identify key players and generate interest.
- Maintain and expand your database of prospects within your assigned territory team with channel partners to build pipeline and close deals.
- Perform effective online demos to prospects.
Growth & Incentive Structure:
- Huge growth potential with the ability to become sales manager within a couple of months if you have a knack of sales.
- 2-10% of sale value is given in the form of incentives based on the slabs achieved. That rounds up to 25k - 3 Lakhs/month of incentives apart from your base salaries.
- Travel allowance will be given apart from base perks.
Eligibility Criteria:
Graduates with min 1 years of experience in Ed-tech K9 & K12
background are eligible to apply.
Specific Skills Required: Good sales skills, proficiency in English, and strong
communication abilities are essential.
Applicants: Both male and female candidates are welcome to apply.
Additional Information:
Seniority Level: Mid-Senior level
Industry: E-Learning Providers
Employment Type: Full-time
Job Functions: Sales, Business Development
E-COMMERCE MANAGER
Responsibilities
● Liaising and influencing cross-functionally within the senior management team, ensuring all stakeholders are engaged in E-Commerce activity, projects and strategy, and knowledge, assistance, and insight are acquired where needed.
● Managing the marketplaces, namely Amazon, and Flipkart and planning the presence of the organisation - in terms of the strategy, management, forecasts and results. These include short- and long-term objectives, customer metrics and overall performance.
● Oversee the day-to-day marketplace E-commerce operations, customer service, updates, post listings, promotions, merchandising, maintenance and performance.
● Develop budgets for all phases of marketplace E-commerce and execute marketplace promotions to maximise growth.
● Manage relationships with digital agencies and external third parties in the marketplace effectively to drive growth
● Develop and implement the assortment and inventory plan to match the sales plan. Work with other divisions to maximise inventory & provide ongoing strategic insights and recommendations for new marketplaces channels with growth plans.
● Collaborate with marketing, operations, finance, sales & customer service to drive the success of the eCommerce business.
● Improve the e-commerce experience and feature sets by evaluating new payment solutions, customer communication tools, mobile solutions, merchandising tools and other enhancements.
● Actively advocate for e-commerce business across all levels of the organisation.
● Working closely with analytics, product and category managers will be crucial to optimise and scale on marketplaces
Qualifications
● Experience of 1-2 years.
● Preference for talent with experience in the D2C
● Strong knowledge of the marketplace.
● Must possess knowledge of the supply chain process, and commercials to improve the user journey by displaying relevant products on the website).
● Good team management and leadership skills.
● Excellent written and verbal communication skills.
● Should have a good emotional quotient.
● Should be good in data and analytical skills.
- The person will be required to generate new business from international markets (B2B, B2C),Business directory..
- Well Skilled in writing the initial drafts and proposal based on te client requirements.
- Candidates should have relevant experience in selling Mobile App development and web, ERP services in domestic and overseas markets.
- Understand Technical requirement of customer, Making presentation to client
- Developing Sales Projection Plan
- Good Knowledge of Upwork Linkedin and other bidding portals to get the new prospects and close the deals
- Candidate should have good experience in End to End Sales i.e. from lead Generation to closure of prospects
- Candidate must have sound technical knowledge of Android, iOS and Web Application, latest trends in mobile & Web technology
- Candidates should have exp in reaching out to B2B and B2C prospects.
- Candidates should have excellent communication skills, good selling attitude, and be result oriented.
- Candidates should be self motivated to achieve the sales target.









