JOB OPENINGS

MASTER DATA SCIENTIST

The Data Scientist will be part of the Core Data Scientist Team. This team identifies and develops advanced analytics statistical model, machine learning methods and solutions for our clients to improve various business outcomes.

The objective of the team is to:

Successfully develop, conceptualize and test various statistical models.Integrate the outcomes as real time analytics to create value for clients in areas and through means not immediately apparent to clients.

Job location:

Bangalore. Candidate should be flexible to travel & open for onsite positions within India & outside India for short-durations of 4 to 6 months.

Industry Focus:

Manufacturing, Financial Services, Investment Banking

Experience:

4 to 7 years of research experience in Statistical and Machine Learning Models. PhD freshers can also apply (Thesis submitted). 

Qualifications:

• Masters in a quantitative discipline such as Mathematics, Statistics & Machine Learning

• Hands-on experience in running various methods in Supervised & Unsupervised ML like Regression, Classification, Clustering Random forest, k-NN, k-means, boosted trees, SVM, Neural Network, dimension reduction, model optimization, text mining, statistical modeling, data mining, exploratory data analysis, hypothesis testing & descriptive statistics.

• Compelling communication and influencing skills. Should be able to communicate results and key findings to the stakeholders in a clear, concise and business friendly manner.

• Ability to think creatively in solving problems real time.

• Experience in diagnosis and prognosis of machines for early detection of signs of failure using ML techniques, using sensor data to analyze trend & patterns for industrial problems will be an added advantage.

DATA SCIENTIST 

Employment: Full time.

Role: Data Scientist

Job Summary

We are looking for experienced data scientists with strong advanced analysis and machine learning model development experience. Data scientists will be working with a team of technical experts on the development of a scalable, real-time, big data analytics solutions with data visualizations leveraging the latest technologies. The ideal candidate will have a proven track record of solving large, complex big data challenges and developing machine learning models to address emerging cybersecurity requirements. Responsibilities will include the analysis of the data to uncover useful and valuable information and finally supporting the engineering team to build the results into the end product. You will be working with an experienced team of data scientists and technical experts, and be part of the Security, Risk, and Governance (SR&G) solutions Centers of Excellence (COE). This position is responsible for the design, architecture, development, and implementation of emerging Security and Operations use cases, and partner with R&D engineers to productize the same to support go-to-market initiatives.

Responsibilities and Duties

• Collaborate with a multi-disciplinary team of engineers and analysts on a wide range of cybersecurity problems.

• Bring analytical rigour and statistical methods to the challenges of measuring quality, improving security products, and understanding the behaviour of end-users, computer systems, and network devices.

• Build innovative predictive analytics and data science solutions for a myriad of cybersecurity problems.

• Multi-task and work independently

• ‘Think like an adversary’

• Identify and articulate risks and remediation in a relevant and approachable manner with both technical and non-technical audiences.

• Identifies data sources, collects, transforms and prepares large amounts of data for analysis. May also develop tools to help the data collection process as needed.

• Uses appropriate methods, tools, and algorithms to analyze the data and create an implementation plan from the business problem.

• Validates the results of the data analysis to avoid errors.

• Interprets results and identifies value form the analysis to help solve the business problems. Works with the business or customer and provides guidance on risks and limitations.

• Monitors and continuously improves the data sources, usability and data

mining results.

Required Experience, Skills and Qualifications Education and Experience

• Bachelor’s or Master’s degree in Computer Science, Statistics or similar quantitative field

• 3-5 years of working experience in machine learning and data science projects;

• 2-3 years of experience in working with large scale production data sets

• Good understanding of the foundations of machine learning methods

• Exceptional coding skills in SQL, and Python or R

• Excellent communication skills

Knowledge and Skills

Basic Qualification:

• Experience with deep learning methods, models and frameworks

• Familiarity with multiple programming and scripting languages (such as Java, Javascript, C/C++, Perl, etc.)

• Familiarity with data visualization tools

• Experience with passive and active measurement techniques

• Experience with applying statistical modelling, machine learning and data mining algorithms to business problems.

• A profound understanding of big data systems

Must have:

• Background in statistics

• Linux System knowledge as user and administrator

• Experience with Vertica or other column store databases is a plus

• Experience in cybersecurity, network data

• Knowledge of networking concepts and devices (Firewalls, Routers, Switches,

and Load Balancers)

• Knowledge of network and web related protocols (such as TCP/IP, UDP, IPSEC,

HTTP, HTTPS, DNS, SSH, routing protocols)

DATA SCIENTIST 

Employment: Full time.

Role: Data Scientist

Job Summary

We are looking for experienced data scientists with strong advanced analysis and machine learning model development experience. Data scientists will be working with a team of technical experts on the development of a scalable, real-time, big data analytics solutions with data visualizations leveraging the latest technologies. The ideal candidate will have a proven track record of solving large, complex big data challenges and developing machine learning models to address emerging cybersecurity requirements. Responsibilities will include the analysis of the data to uncover useful and valuable information and finally supporting the engineering team to build the results into the end product. You will be working with an experienced team of data scientists and technical experts, and be part of the Security, Risk, and Governance (SR&G) solutions Centers of Excellence (COE). This position is responsible for the design, architecture, development, and implementation of emerging Security and Operations use cases, and partner with R&D engineers to productize the same to support go-to-market initiatives.

Responsibilities and Duties

• Collaborate with a multi-disciplinary team of engineers and analysts on a wide range of cybersecurity problems.

• Bring analytical rigour and statistical methods to the challenges of measuring quality, improving security products, and understanding the behaviour of end-users, computer systems, and network devices.

• Build innovative predictive analytics and data science solutions for a myriad of cybersecurity problems.

• Multi-task and work independently

• ‘Think like an adversary’

• Identify and articulate risks and remediation in a relevant and approachable manner with both technical and non-technical audiences.

• Identifies data sources, collects, transforms and prepares large amounts of data for analysis. May also develop tools to help the data collection process as needed.

• Uses appropriate methods, tools, and algorithms to analyze the data and create an implementation plan from the business problem.

• Validates the results of the data analysis to avoid errors.

• Interprets results and identifies value form the analysis to help solve the business problems. Works with the business or customer and provides guidance on risks and limitations.

• Monitors and continuously improves the data sources, usability and data

mining results.

Required Experience, Skills and Qualifications Education and Experience

• Bachelor’s or Master’s degree in Computer Science, Statistics or similar quantitative field

• 3-5 years of working experience in machine learning and data science projects;

• 2-3 years of experience in working with large scale production data sets

• Good understanding of the foundations of machine learning methods

• Exceptional coding skills in SQL, and Python or R

• Excellent communication skills

Knowledge and Skills

Basic Qualification:

• Experience with deep learning methods, models and frameworks

• Familiarity with multiple programming and scripting languages (such as Java, Javascript, C/C++, Perl, etc.)

• Familiarity with data visualization tools

• Experience with passive and active measurement techniques

• Experience with applying statistical modelling, machine learning and data mining algorithms to business problems.

• A profound understanding of big data systems

Must have:

• Background in statistics

• Linux System knowledge as user and administrator

• Experience with Vertica or other column store databases is a plus

• Experience in cybersecurity, network data

• Knowledge of networking concepts and devices (Firewalls, Routers, Switches,

and Load Balancers)

• Knowledge of network and web related protocols (such as TCP/IP, UDP, IPSEC,

HTTP, HTTPS, DNS, SSH, routing protocols)

DATA ENGINEER

Employment: Full time.

Role: Data Engineer

Job Description

• Hands-on Java Engineers with experience building consumer-facing or enterprise applications using Java stack – Spring, Hibernate, MySQL

• Strong problem solving and analytical skills

• Strong understanding of Object Oriented Programming concepts and Design patterns.

Required Experience, Skills and Qualifications Education and Experience

• Exposure to building service-oriented distributed systems

• Building systems that process big data in a distributed environment either in real time streaming or offline batching

• Messaging systems like Kafka, RabbitMQ, kinesis, etc

• Real-time computation tools like Storm / Spark or Hadoop based tools

• Data warehousing technologies like Redshift, BigQuery, etc

DATA ANALYST

Employment: Full time.

Role: Data Analyst

Job Description

Our growing firm is looking for an experienced Data Analyst who is able to turn project requirements into custom-formatted data reports. The ideal candidate for this position is able to do complete life cycle data generation and outline critical information for each Project Manager. We also need someone who is able to analyze business procedures and recommend specific types of data that can be used to improve upon them.

Responsibilities and Duties

• Use statistical methods to analyze data and generate useful business reports

• Work with the management team to create a prioritized list of needs for each business segment

• Identify and recommend new ways to save money by streamlining business processes

• Use data to create models that depict trends in the customer base and the consumer population as a whole

• Work with departmental managers to outline the specific data needs for each business method analysis project

Required Experience, Skills and Qualifications

• Bachelor’s Degree in Mathematics or Computer Engineering

• 1.5+ years’ Data mining experience

• 1.5+ years in a data analyst role

• Ability to collaborate effectively and work as part of a team

• Strong attention to detail

• Independent thinker

• Excellent critical thinking skills

• Good knowledge of data objects

• Good Python/SQL skills

• Knowledge of Data Science & R would be an add on

SPARK HADOOP DEVELOPER

Employment: Full time.

Role: Speak Hadoop Developer

Job Description

The candidate will be the part of Analytical experts of the organization who would help in expanding and optimizing data, support data initiatives and data structure. The candidate is expected to have a good command over technology and languages like Python, Hadoop, Apache Spark (SparkR, Sparklyr), C, C++ or Java, etc. Repository maintenance in Git/ GitHub, experience in maintaining security policies on Hadoop. Performance tuning in Spark, experience in setting up best practices in Hadoop and Spark based projects.

Responsibilities and Duties

• The candidate will have to work on Data Warehousing and ETL tools.

• The candidate will have to work on Hadoop based analysis (HBase, Hive, MapReduce, etc)

• Processing structured and unstructured data

• Cluster monitoring

• Deploying and maintaining a Hadoop cluster, adding and removing the nodes using cluster monitoring tools like Ganglia or Cloudera manager

• Configuring the name node high availability and keeping a track of all Hadoop running jobs.

• resolve cluster connectivity, track, monitor and improve the performance

• Coding in R programming language

• Development in Jupyter Notebook and Zeppelin

Required Experience, Skills and Qualifications

Essential Qualifications:

• In-depth knowledge of SQL and other database solution

• Minimum 2-4 years of experience on Hadoop technologies

• Sound knowledge of Apache Spark

• Sound knowledge of Python Programming, Jupyter Notebook

• Excellent knowledge of UNIX/LINUX and OS

• Knowledge of cluster monitoring tools like Ganglia, Ambari or Nagios

• Knowledge of Networking, CPU, Memory, and Storage

• Knowledge of virtual machines and their capabilities

• Excellent troubleshooting capabilities in data integration

Desirable Qualification:

• Informatica knowledge will be an add on.

• Acquaintance with GitHub

• Knowledge of programming tools like R and SAS

• Knowledge of visualization tools likePowerBI, Tableau

TABLEAU DEVELOPER

Employment: Full time.

Role: Tableau Developer

Job Description

We are currently hiring for Tableau developer who would be responsible for creating data visualization to enhance business processes. The candidate would be working with developers, creating tableau dashboard reports, creating BI reports and visualizations. Candidate should be a team player and must have good problem solving and communication skills.

Responsibilities and Duties

• Creating a technical solution

• Working with data storage tools

• Conduct tests (develop database queries, conduct unit tests)

• Enhance systems

• Create technical documentation.

Required Experience, Skills and Qualifications

• Candidate must be a student of Tier II college

• Working knowledge of SQL

• Excellent data interpretation and data visualization skills

DATA SCIENTIST 

Job Summary

We are looking for experienced Data Scientists with strong advanced analysis and NLP experience. Data scientists will be working with a team of technical experts on the development of data analytics solutions with data visualizations. The ideal candidate will have a proven track record of solving large, complex big data challenges and developing machine learning models to address emerging requirements. Responsibilities will include the analysis of the data to uncover useful and valuable information and finally supporting the engineering team to build the results.

Responsibilities and Duties

The ideal candidate will be involved in building NLP models on contact centre conversations to uncovers insights which impact and transform business processes

• Demonstrated expertise in NLP/ Building Language models

• Optimising basic/convolutional neural Networks

• Experience in traditional predictive modelling (Supervised/unsupervised learning)

• Experience in popular NLP libraries is a plus

Tools: Python, Spark, R

Libraries: NLTK, Scikit-learn, Keras, Tensorflow, Stanford core NLP

Notice period: Not Exceeding one month

Location: Gurgaon/Gurugram at the client site

Experience: 3 to 5 years

DATA SCIENTIST 

Job Summary

We are looking for experienced Data Scientists with strong advanced analysis and machine learning model development experience. Data scientists will be working with a team of technical experts on the development of data analytics solutions with data visualizations. The ideal candidate will have a proven track record of solving large, complex big data challenges and developing machine learning models to address emerging requirements. Responsibilities will include the analysis of the data to uncover useful and valuable information and finally supporting the engineering team to build the results. 

Responsibilities and Duties

Required Experience, Skills and Qualifications

The Senior Data Scientist is expected to –

•Build Credit Models

•Deliver Ad-hocs independently

•Communicate clearly with the CXO team and presentation the results crisply and clearly

The technical requirements for the above would be –

•Have deployed at least 3 Machine Learning projects

•2 Years hands on experience in SQL and R/Python (either would do)

•Good business acumen and communication skills

Experience: 3.5 and above

Location: At the client base, Mumbai (Andheri)

Notice period: Not Exceeding one month.

DATA SCIENTIST 

Job Summary

NLP/ chatbot Engineer Major Role & Responsibilities:

Skill sets required:

• Graduate/Post-Graduate/MS in Computer Science/Mathematics/ Statistics/Machine Learning/NLP or allied fields.

• Strong ability to implement modules which are reusable, scalable & performance efficient modules

• Hands-on work experience in Natural Language Processing and Machine Learning

• Prior experiences with product development team is a plus

Major Role & Responsibilities:

• 2-3 years of professional chatbot development experience using available cloud solutions and overall experience 4-8 years in ML and Traditional Analytics

• Proficiency in a modern web framework (Node JS, Ruby-on-Rails, or Django)

• Proficiency in a scraping data from an external source and come up architectures to store and organize the information for insight generation

• Experience in analysing large amounts of user-generated content and process data in largescale environments using Amazon EC2, Storm, Hadoop and Spark is desirable

• Contributions to open source software projects is an added advantage

• Experience scaling a web application – ideally in Python with AWS

• Experience with Natural Language Processing and Machine Learning is a must

• Analyse and model structured data using advanced statistical methods and implement algorithms

• Perform text mining, generate and test working hypotheses, prepare and analyse historical data and identify patterns

Experience: 2-3 years

Location: Bangalore

ANALYTICS CONSULTANT- SALES ANALYTICS

Job Summary

ANALYTICS CONSULTANT – SALES ANALYTICS

Skills & Qualifications:

• Have proven competencies in hands-on experience in Data pre-processing, ML Algorithms, Python packages for data science.

• Demonstrated capabilities to run end to end analytics projects from data ingestion to modelling to visualization.

• Desirable to have exposure in NLP, Chat Bot development, information retrieval, exposure to developing analytics solutions using Google Cloud Platform or Azure on AWS etc

• Demonstrated ability to think of solving the problems at scale and in compute efficient ways

• Strong quantitative & analytical skills. Demonstrated abilities to spot issues with customer data and propose alternate approaches to mitigate the problems

• High SQL and Excel proficiency (Mandatory)

• Excellent cross-functional working skills

• Experience with operational process improvement and implementation

• Strong presentation skills and ability to formulate strategic initiatives

• Excellent written and oral communication skills

• Excellent organizational skills

Good to Have:

• 2-4 experience in Python tools, ML Algorithms

• Exposure to Analytics platforms and ability to build solutions using them

• Business optimization experience

• Sales & Marketing Analytics Experience

• Management consulting experience

• Have strong work ethics

Major Role & Responsibilities:

• Build and manage actionable Sales Analytics solutions and KPIs to continually improve processes

• Develop analytics products and manage the feature roadmap for analytics components

• Liaison with product team, delivery team for seamless integration with products & product installations for customers

• Translate the product requirements into analytics components specification

• Project management & timelines tracking

• Help in executing product roadmap and have worked on live projects extensively

• Ability to solution an analytics prototype for new customers if required

• Desirable to have hands-on exposure in tools and technologies

• Willingness to work in demanding environments

• Ongoing support for customer issues in analytics components

Experience: 3 years

Location: Bangalore

HR Recruiter

Job Role : HR Recruiter

Location : Bangalore

Experience : 2-3 years

Notice Period : Immediate joiners 

Job Responsibilities: 

•Identifying, qualifying and hiring for big Data and analytics professional for various levels. 

•Responsible for sourcing profiles through various US Job Portals like Naukri, LinkedIn, Indeed etc.

•Must have strong sourcing experience through various channels, not limited to job portals.

•Screening prospective candidates and educate candidates about the role, A thorough analysis of candidates commitment and background check 

• Drive the talent delivery process from beginning to end. 

•Develop and implement hiring practices that will provide a qualified and diverse candidate pool.

• Consulting internal panels while forecasting and closing requirements

•Excellent Communication skills

•Passionate

 Experience Skills:

•Minimum 2 years of recruitment experience

•Exposure to MS Office Packages (Word, Powerpoint, Excel, Outlook)

 

Digital Analytics/Google Analytics/Media Analytics

Job Role : Digital Analytics/Google Analytics/Media Analytics

Location : Gurgaon

Experience : 2.6-5 years

Notice Period : Immediate joiners 

Job Responsibilities: 


Must have:

•Brilliant Advanced Excel Skills

•Excellent communication skills

•Understanding of Digital Marketing (Tools like DCM, Social ads, Google analytics)

Nice to have:

•Altryex tool experience

•Knowledge of Visualizations tool like Tableau

Media Analytics

Job Role : Media Analytics



Service Level: Sr. Associate

Location : Gurgaon

Experience : 5+ years

Notice Period : Immediate joiners 

Job Responsibilities: 


Must have:

•Media AnalyticsDigital

•Marketing Campaign Execution

Digital Analytics

Experience on programmaticR or PythonTableau or Power BI

Experience Guidelines:

• Ability to gather, format and analyze data

• Identify trends and report observations, including findings based upon analytical work.

• Good communication skills