17+ Data mining Jobs in India

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.
  

•Excellent in data scraping and data mining.
•Can collect desirable contacts and data for leads and telecalling, telemarketing or digital marketing.
•Potential and hard working.
•Have strong computer operating knowledge.
Good knowledge in search engine.

Requirements and skills

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

Job description

• 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.

Roles & Responsibilities

• 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

Roles and Responsibilities

● Working on an awesome AI product for the eCommerce domain.
● Build the next-generation information extraction, computer vision product powered
by state-of-the-art AI and Deep Learning techniques.
● Work with an international top-notch engineering team with full commitment to
Machine Learning development.

Desired Candidate Profile

● Passionate about search & AI technologies. Open to collaborating with colleagues &
external contributors.
● Good understanding of the mainstream deep learning models from multiple domains:
computer vision, NLP, reinforcement learning, model optimization, etc.
● Hands-on experience on deep learning frameworks, e.g. Tensorflow, Pytorch, MXNet,
BERT. Able to implement the latest DL model using existing API, open-source libraries
in a short time.
● Hands-on experience with the Cloud-Native techniques. Good understanding of web
services and modern software technologies.
● Maintained/contributed machine learning projects, familiar with the agile software
development process, CICD workflow, ticket management, code-review, version
control, etc.
● Skilled in the following programming languages: Python 3.
● Good English skills especially for writing and reading documentation

Algorithm Engineer
Experience 3 to 8 Years

Skill Set

• 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

Responsibilities

•  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

Are you looking for a long-term and full-time remote role where you can work with US-based companies? Read on!

What is Wishup?
Wishup is India's leading remote employee platform helping US-based businesses in building highly efficient remote teams. Wishup was founded in 2015 by IITM & IIMA alumni and is backed by marquee investors like Orios Venture Partners, Inflection Point Ventures, Tracxn capital, and Mato Peric.

We are witnessing phenomenal month-on-month growth and stand at a cusp of a revolution in the remote workforce industry. This is your chance to be a part of the revolution - we are inviting applications for our most in-demand position of Online Business Manager.

Job Profile:
- An Online Business Manager at Wishup is a remote full-time employee that works for and
is trained by Wishup, and is deployed to engage with one or more US-based clients.
- The role is remote and full-time (not a freelancing assignment)
- The role would require working in the US time zone

What's in it for you?
- International exposure: You’ll get to interact and build relationships with the smartest global founders and CXOs working on cutting-edge ideas
- No hassle of US visa application; since it’s remote working
- Constant upskilling to maintain market relevance: We provide up to 4 weeks of training
during onboarding in all the latest industry tools and practices
- Stable full-time remote job in a company that has been fully remote for over 5 years: work
from home (or anywhere), forever!
- Scope of rapid growth based on bi-annual appraisals
- A healthy work-life balance

Roles & Responsibilities:
As an Online Business Manager, you will work closely with one or more clients on either one or all of the following tasks:
- Ecommerce Assistance (Amazon Seller/Shopify)
- Project Management
- Advanced Excel and MIS Reporting
- CRM and Lead Management
- Online Research
- Lead Generation
- Executive Assistance (Itinerary Planning, Calendar Management, Inbox Management, etc.)

You're a great fit if you have:
- At least 2 years of full-time employment experience
- A stable career employment track record
- Impeccable written and spoken English
- An aptitude for mathematics and logic
- A solid experience in resolving work-conflict situations

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

 

#LI-Remote

We are looking for a Lead Generation Executive having significant experience of 2 to 5 years in Domestic and International Lead Generation. Company: Entitlemedia Pvt. Ltd. Designation: Lead Generation Executive Job Responsibilities: • Generating leads from the International market through email marketing, Data mining, Justdial, digital marketing and database development using different tools. • Meet and/or exceed monthly performance targets for lead generation using social media platforms/job sites/cold calling/email campaigns/online networking. • Perform research on companies as a component of lead generation and qualification activities utilizing web research tools. • Develop sales monthly reports in an accurate and timely fashion. • Data searching on internet, tracking and analyzing email campaign results. • Develop and execute online lead generation marketing plans. • Should be able to search and gather data on Internet via Google, Linked In, Facebook & from other data sources. Hard Business Skills: IT Sales, Technical Sales, IT Lead generation, Business development, IT Marketing, International Sales, online lead generation, Research, IT Marketing, Website/ Websolution/ Web development Marketing. Desired Candidate Profile: Should have 2+ years of experience with generating leads for Website Designing/ Application development or Domain hosting and digital marketing services using different Market Research Techniques. Excellent written and verbal communication skills. Excellent research and networking skills. Proven record of successful lead generation. Fluent in written and oral communication Knowledge of MS-office Location: Hyderabad Salary: No bar for deserving candidates( Fixed + Huge Incentives). Experience: 2-5 Years Industry: IT Software Website: "If find above profile suitable and have all required skills then kindly revert with below mention details and share your updated CV". Total Experience in IT Lead Generation: Current CTC: Expected CTC: Current Location: Reason for Job change: How soon you can join: Available for Interview: Material Status: Thanks Best Regards

Job Functions: Sales Business Development Responsibilities: Identify decision makers within targeted leads to begin sales process Penetrate all targeted accounts and radiate sales from within client base Collaborate with Account Managers to determine necessary strategic sales approaches Create and deliver qualified opportunities to Account Managers where appropriate Maintain and expand the company's database of prospects Set up and deliver sales presentations, product/service demonstrations, and other sales actions Assist in creating RFP responses to potential clients Ensure all data is captured, tracked and qualified leads are entered into the CRM leads management system Develop case studies Reports on sales activity and forecast to sales management Required Skills: Excellent presentation and listening skills Previous experience as an Inside Sales Lead preferred Good oral and written communication skills 1-3 yrs. sales experience. Inside sales preferably SME Sales experience desired Must possess strong business acumen, be independently motivated, assertive and goal oriented

Job Overview :We are looking for an experienced Data Science professional to join our Product team and lead the data analytics team and manage the processes and people responsible for accurate data collection, processing, modelling and analysis. The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our clients. The incumbent will work closely with leaders across product, sales, and marketing to support and implement high-quality, data-driven decisions. They will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. They will use advanced data modelling, predictive modelling, natural language processing and analytical techniques to interpret key findings.Responsibilities for Analytics Manager :- Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.- Design and build technical processes to address business issues.- Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.- Examine, interpret and report results to stakeholders in leadership, technology, sales, marketing and product teams.- Develop and implement quality controls and standards to ensure quality standards- Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.- Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.- Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.Qualifications for Analytics Manager :- Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple cloud-based data sources- Strong SQL skills, ability to perform effective querying- Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units.- Experience and knowledge of statistical modelling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.- Experience working with and creating databases and dashboards using all relevant data to inform decisions.- Strong problem solving, quantitative and analytical abilities.- Strong ability to plan and manage numerous processes, people and projects simultaneously.- Excellent communication, collaboration and delegation skills.- We- re looking for someone with at least 5 years of experience in a position monitoring, managing and drawing insights from data, and someone with at least 3 years of experience leading a team. The right candidate will also be proficient and experienced with the following tools/programs :- Strong programming skills with querying languages: R, Python etc.- Experience with big data tools like Hadoop- Experience with data visualization tools: Tableau, d3.js, etc.- Experience with Excel, Word, and PowerPoint.