20+ Data mining Jobs in India

Data Researcher- Entry Level Position

We are searching for a highly motivated and detail-oriented Data Researcher to join our team. This role will be responsible for gathering, scrapping, analyzing, and interpreting large datasets to support various business initiatives.

You will play a key role in identifying and sourcing leads on LinkedIn & Upwork (Data Scrapping) and utilizing data analysis to gain insights into international markets.

Responsibilities:

• Conduct research on potential LinkedIn & Upwork’s clients and projects using various tools (Phone numbers, Email address, social media contact scrappers).
• Utilize data scraping techniques (LinkedIn, LinkedIn Sales Navigator, Apollo.io, Crunchbase and others) to gather relevant information on leads.
• Extract contact information (phone numbers, emails, social media) from LinkedIn profiles using specialized tools.
• Analyze data to identify trends, opportunities, and key insights related to LinkedIn and Upwork projects and international business ventures (market size analysis).
• Generate comprehensive reports and presentations to effectively communicate findings to stakeholders.
• Maintain a well-organized and efficient data management system.
• Stay up to date on industry trends and best practices in data analytics.
• Collaborate effectively with cross-functional teams.

Additional Requirements:

• Proven knowledge & experience in identifying and sourcing leads on LinkedIn & Upwork for specific client needs.
• Basic knowledge of Sales Cycles.
• Knowledge of data scraping tools like LinkedIn Sales Navigator, Apollo.io, and others.
• Strong written and verbal communication skills in English, including the ability to prepare clear and concise reports and presentations.
• A plus is hands-on experience with CRM tools like HubSpot or Salesforce (Sales CRM).
• A basic grasp of embedded engineering principles would be beneficial.
• Experience or knowledge of international business, particularly market size analysis, is a plus.
• Well-disciplined, understands and adheres to professional etiquette, and strives to consistently exceed expectations.

Benefits:

• Competitive salary and benefits package
• Opportunity to work on challenging and impactful projects
• Dynamic and collaborative work environment
• Growth opportunities and professional development

Experience:

• We are looking for a recent graduate or someone with limited experience in data analysis or research who is eager to learn.

Position Description:

Amity University, Patna campus invites applications for a tenure-track Assistant Professor position in the Department of Computer Science. The successful candidate will demonstrate a strong commitment to teaching, research, and service in the field of computer science.

Responsibilities:

• Teach undergraduate and graduate courses in computer science, with a focus on [insert areas of specialization or interest, e.g., artificial intelligence, machine learning, software engineering, etc.].
• Develop and deliver innovative curriculum that incorporates industry best practices and emerging technologies.
• Advise and mentor undergraduate and graduate students in academic and career development.
• Conduct high-quality research leading to publications in peer-reviewed journals and presentations at conferences.
• Seek external funding to support research activities and contribute to the growth of the department.
• Participate in departmental and institutional service activities, including committee work, academic advising, and community outreach.
• Contribute to the collegial and collaborative atmosphere of the department through active engagement with colleagues and participation in departmental events and initiatives.

Qualifications:

• A Ph.D. in Computer Science or atleast Thesis submitted
• Evidence of excellence in teaching at the undergraduate and/or graduate level.
• A strong record of research productivity, including publications in reputable journals and conferences.
• Demonstrated expertise in [insert areas of specialization].
• Ability to effectively communicate complex concepts to diverse audiences.
• Commitment to fostering an inclusive and equitable learning environment.
• Strong interpersonal skills and the ability to work collaboratively with students, faculty, and staff.
• Potential for leadership and contribution to the academic community.

Preferred Qualifications:

• Experience securing external research funding.
• Experience supervising undergraduate or graduate research projects.
• Experience with curriculum development and assessment.
• Experience with industry collaboration or technology transfer initiatives.

Application Process:

Interested candidates should submit a cover letter, curriculum vitae, statement of teaching philosophy, statement of research interests, evidence of teaching effectiveness (e.g., teaching evaluations), and contact information for three professional references. Review of applications will begin immediately and continue until the position is filled.

Role Summary:

As a Digital Marketing Strategist specializing in SEO at Valuebound, you will develop and execute strategies to enhance our digital presence and search engine ranking. You'll be responsible for analyzing, reviewing, and implementing changes to websites to optimize for search engines, thereby increasing traffic and improving page rank within search engines.

Responsibilities:

- Conduct keyword research and use SEO guidelines to increase web traffic on our US/UK website pages.

- Monitor daily performance metrics with SEO tools and analytics.

- Collaborate with content marketing and design teams to drive SEO in content creation and content programming.

- Recommend changes to website architecture, content, linking, and other factors to improve SEO positions for target keywords.

Requirements:

- Proven experience as an SEO specialist or similar role.

- Understanding of search engine algorithms and ranking methods.

- Experience with SEO industry programs, such as Google Analytics or Adobe Analytics.

- Knowledge of keyword research and data mining tools.

- It would be preferable to have some experience in a similar industry as us.

Job Description – Data Science  

Basic Qualification:

• ME/MS from premier institute with a background in Mechanical/Industrial/Chemical/Materials engineering.
• Strong Analytical skills and application of Statistical techniques to problem solving
• Expertise in algorithms, data structures and performance optimization techniques
• Proven track record of demonstrating end to end ownership involving taking an idea from incubator to market
•   Minimum years of experience in data analysis (2+), statistical analysis, data mining, algorithms for optimization.

Responsibilities

The Data Engineer/Analyst will

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  
• Clear interaction with Business teams including product planning, sales, marketing, finance for defining the projects, objectives.
  
• Mine and analyze data from company databases to drive optimization and improvement of product and process development, marketing techniques and business strategies
  
• Coordinate with different R&D and Business teams to implement models and monitor outcomes.
  
• Mentor team members towards developing quick solutions for business impact.
  
• Skilled at all stages of the analysis process including defining key business questions, recommending measures, data sources, methodology and study design, dataset creation, analysis execution, interpretation and presentation and publication of results.
  

• 4+ years’ experience in MNC environment with projects involving ML, DL and/or DS
  
• Experience in Machine Learning, Data Mining or Machine Intelligence (Artificial Intelligence)
  
• Knowledge on Microsoft Azure will be desired.
  
• Expertise in machine learning such as Classification, Data/Text Mining, NLP, Image Processing, Decision Trees, Random Forest, Neural Networks, Deep Learning Algorithms
  
• Proficient in Python and its various libraries such as Numpy, MatPlotLib, Pandas
  
• Superior verbal and written communication skills, ability to convey rigorous mathematical concepts and considerations to Business Teams.
  
• Experience in infra development / building platforms is highly desired.
  
• A drive to learn and master new technologies and techniques.
  

Job description:

• Selecting features, building and optimizing classifiers using machine learning techniques
• Mining data as and when required
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating automated anomaly detection systems and constant tracking of its performance
• Efficient stakeholder management

Skills and Qualifications

• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Experience with common data science toolkits. 
• Great communication skills
• Experience with data visualisation tools
• Proficiency in using query languages such as SQL
• Good scripting and programming skills 
• Data-oriented personality
• B.Tech, M.Tech, B.S., M.S., MBA 

Requirement / Desired Skills

Data Scientist --  Data mining skills , SQL, Advanced ML Techniques, NLP (natural Language Processing)

Job Description:

• Responsible for helping in data preparation and data pull
• Should be able to cut and slice data to extract interesting insights from the data
• Work closely with cross-functional teams, TPMs & PMs to execute deliverables
• Identify key requirements needed from cross-functional teams and external vendors
• Accountable for delivering against established business goals/objectives
• Analyse, evaluate, and overcome program risks, and produce program reports for senior management and stakeholders
• Working on strategy development to enhance user experience
• Work with development teams to learn existing projects and different use cases.
• Hands-on experience in Excel & MS Office - Expert, SQL will be preferred

Technical Skills:

• Sales & acquisition experience, Customer Service, Customer Relationship, Relationship Management
• Be self-driven, and show the ability to deliver on ambiguous projects with incomplete data

Desired Skills:

• An ability and interest in working in a fast-paced, ambiguous, and rapidly changing environment
• Should have worked on Business Projects for an organization, Ex: customer acquisition, and customer retention.

1-3 Years’ experience (maximum 3 years) in Business Analyst/Program Manager/Project Manager role having good knowledge of SQL, Excel, and MS Office

Roles and Responsibilities:

• Establish viable opportunities.
• Generate new leads using cold calling, email marketing, social media, and other relevant marketing channels.
• Score the viability of an interested lead for the sales team.
• Classify hot, warm, and cold leads based on their need, budget, and decision-making capabilities. Accordingly, take the necessary steps to convert hot leads and nurture warm and cold leads.
• Organise and keep the lead status updated in the CRM software.
• Proficient in Lead generation through email, outreach platforms and data search tool like LikedIn; Sales Navigator
• Follow company decorum at all times when representing the organisation.

Desired Candidate Profile:

• A graduate in any stream (10+2+3 regular education)
• 3-5 years of experience in lead generation and prospecting
• Effective communication skills 

• Proficiency with CRM software

• Customer-focused and adaptable to different personality types
• Have the ability to multitask, set priorities and manage time effectively
• In-bound & Out-bound lead generation experience
• data building and data mining using search tools
• Excellent client servicing skills
• Top-notch verbal and written communication skills

Location : Noida/ Delhi
Notice Period : Immediate

• The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

• Experience using statistical languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Looking for someone with 3-7 years of experience manipulating data sets and building statistical models
• Has a Bachelor's, Master's in Computer Science or another quantitative field
• Knowledge and experience in statistical and data mining techniques :
• GLM/Regression, Random Forest, Boosting, Trees, text mining,social network analysis, etc.
• Experience querying databases and using statistical computer languages :R, Python, SQL, etc.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees,neural networks, etc.
• Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
• Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.

Role : 

• Understand and translate statistics and analytics to address business problems
• Responsible for helping in data preparation and data pull, which is the first step in machine learning
• Should be able to do cut and slice data to extract interesting insights from the data
• Model development for better customer engagement and retention
• Hands on experience in relevant tools like SQL(expert), Excel, R/Python
• Working on strategy development to increase business revenue

Requirements:

• Hands on experience in relevant tools like SQL(expert), Excel, R/Python
• Statistics: Strong knowledge of statistics
• Should able to do data scraping & Data mining
• Be self-driven, and show ability to deliver on ambiguous projects
• An ability and interest in working in a fast-paced, ambiguous and rapidly-changing environment
• Should have worked on Business Projects for an organization, Ex: customer acquisition, Customer retention.

4-6 years of total experience in data warehousing and business intelligence

3+ years of solid Power BI experience (Power Query, M-Query, DAX, Aggregates)

2 years’ experience building Power BI using cloud data (Snowflake, Azure Synapse, SQL DB, data lake)

Strong experience building visually appealing UI/UX in Power BI

Understand how to design Power BI solutions for performance (composite models, incremental refresh, analysis services)

Experience building Power BI using large data in direct query mode

Expert SQL background (query building, stored procedure, optimizing performance)

• Be a passionate advocate for customers and help ensure thorough and intuitive customer journeys.
• Targeting customers with better customer segmentation, hypotheses, testing with experiments, campaign analytics, communication process ,automation, and competitive benchmarking.
• Working closely with Product, Analytics, Business and Design teams
• Owning one or more key traffic channels for a category (Personal Loans,
• Home Loans, Health Insurance and Mutual Funds) and build the optimum funnel for the business.
• Conceptualize, design and execute initiatives through extensive experiments.
• Work on new product, features and scheme launches, and making the successful by targeting customers through various channels
• Analyse traffic patterns and optimize for seasonality, relevance, and selection
• Regularly develop, test and analyse new tactics that sell products across all categories and increase conversion rates, documenting the results and sharing best practices with the team
• Own projects with considerable scope and/or complexity with significant impact on customer experience

BASIC QUALIFICATIONS

• 1-3 years of experience in roles requiring high analytical skills
• Experience using data and metrics to measure impact and determine improvements
• Experience in making data-driven decisions, developing customer insights from data and creating strategies to improve conversion and sales.
• Understanding of product funnel and journeys.
• Excellent written and oral communication skills, with the ability to communicate effectively in reviews and meetings

• experience in algorithm development with a focus on signal processing, pattern recognition, machine learning, classification, data mining, and other areas of machine intelligence.
• Ability to analyse data streams from multiple sensors and develop algorithms to extract accurate and meaningful sport metrics.
• Should have a deeper understanding of IMU sensors and Biosensors like HRM, ECG
• A good understanding on Power and memory management on embedded platform

•  Expertise in the design of multitasking, event-driven, real-time firmware using C and understanding of RTOS concepts
• Knowledge of Machine learning, Analytical and methodical approaches to data analysis and verification and Python
• Prior experience on fitness algorithm development using IMU sensor
•  Interest in fitness activities and knowledge of human body anatomy

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

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