Cutshort logo
10 - 13 yrs
₹10L - ₹15L / yr
Chennai
Skills
Spotfire
Qlikview
Tableau
PowerBI
Data Visualization
Data Analytics

Technical Proficiency:
Experience in leading self-service offering to business users. Tableau experience in Architecture, Administration and development is must.

  • Experience in supporting and administration of middleware software systems in an enterprise setting. Excellent troubleshooting skills in a complex enterprise environment.
  • Hadoop / Big Data domain experience is required, as is exposure to ecosystem technologies such as Hive, Impala and Spark.
    Data Warehouse/ETL design and development methodologies knowledge and experience required
  • Scripting experience in Linux shell scripting and Python.
  • Good SQL skills.
  • Integrate/roll-out/administer/sustain/upgradeour installations of vendor BI products on Linux.
  • Ensure products are configured properly to meet the necessary security, supportability, and performance requirements.
    Experience with developing frameworks and utility services including logging/monitoring

    Leadership Skills:
    o    Lead the team on Strategic BI and Big Data Governance.
    o    Excellent organization skills, attention to detail
    o    Demonstrated sense of responsibility and capability to deliver quickly
    o    Ability to build strong relationships in a multi-cultural environment across all levels within IT
    o    Promotes continuous process improvement especially in code quality, testability & reliability
    o    Exceptional strategic analysis, problem solving, issue resolution and decision making skills
    o    Excited about rapid changes in the market/domain and being flexible to adopt newer technologies and methods.

    Education:
o Bachelor’s/University degree or equivalent experience, potentially Masters degree.
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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
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Bengaluru (Bangalore), Gurugram
2 - 6 yrs
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Senior Executive - Analytics


Overview of job :-


Our Client is the world’s largest media investment company which is a part of WPP. They are a global digital transformation agency with 1200 employees across 21 nations. Our team of experts support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels.


We are currently looking for a Sr Executive – Analytics to join us. In this role, you will be responsible for a massive opportunity to build and be a part of largest performance marketing setup APAC is committed to fostering a culture of diversity and inclusion. Our people are our strength so we respect and nurture their individual talent and potential.


Reporting of the role - This role reports to the Director - Analytics,


3 best things about the job:


1. Responsible for data & analytics projects and developing data strategies by diving into data and extrapolating insights and providing guidance to clients


2. Build and be a part of a dynamic team


3. Being part of a global organisations with rapid growth opportunities


Responsibilities of the role:


 Build Marketing-Mix and Multi-Touch attribution models using a range of tools, including free and paid.

 Work with large data sets via hands-on data processing to produce structured data sets for analysis.

 Design and build Visualization, Dashboard and reports for both Internal and external clients using Tableau, Power BI, Datorama or R Shiny/Python.


What you will need:


 Degree in Mathematics, Statistics, Economics, Engineering, Data Science, Computer Science or quantitative field.

 2-3 years’ experience in Marketing/Data Analytics or related field with hands-on experience in building Marketing-Mix and Attribution models.  Proficiency in one or more coding languages – preferred languages: Python, R

 Proficiency in one or more Visualization Tools – Tableau, Datorama, Power BI

 Proficiency in using SQL.

 Proficiency with one or more statistical tools is a plus – Example: SPSS, SAS, MATLAB, Mathcad.

 Working experience using big data technologies (Hive/Hadoop) is a plus

Read more
Mumbai, Navi Mumbai
6 - 14 yrs
₹16L - ₹37L / yr
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Role: Principal Software Engineer


We looking for a passionate Principle Engineer - Analytics to build data products that extract valuable business insights for efficiency and customer experience. This role will require managing, processing and analyzing large amounts of raw information and in scalable databases. This will also involve developing unique data structures and writing algorithms for the entirely new set of products. The candidate will be required to have critical thinking and problem-solving skills. The candidates must be experienced with software development with advanced algorithms and must be able to handle large volume of data. Exposure with statistics and machine learning algorithms is a big plus. The candidate should have some exposure to cloud environment, continuous integration and agile scrum processes.



Responsibilities:


• Lead projects both as a principal investigator and project manager, responsible for meeting project requirements on schedule

• Software Development that creates data driven intelligence in the products which deals with Big Data backends

• Exploratory analysis of the data to be able to come up with efficient data structures and algorithms for given requirements

• The system may or may not involve machine learning models and pipelines but will require advanced algorithm development

• Managing, data in large scale data stores (such as NoSQL DBs, time series DBs, Geospatial DBs etc.)

• Creating metrics and evaluation of algorithm for better accuracy and recall

• Ensuring efficient access and usage of data through the means of indexing, clustering etc.

• Collaborate with engineering and product development teams.


Requirements:


• Master’s or Bachelor’s degree in Engineering in one of these domains - Computer Science, Information Technology, Information Systems, or related field from top-tier school

• OR Master’s degree or higher in Statistics, Mathematics, with hands on background in software development.

• Experience of 8 to 10 year with product development, having done algorithmic work

• 5+ years of experience working with large data sets or do large scale quantitative analysis

• Understanding of SaaS based products and services.

• Strong algorithmic problem-solving skills

• Able to mentor and manage team and take responsibilities of team deadline.


Skill set required:


• In depth Knowledge Python programming languages

• Understanding of software architecture and software design

• Must have fully managed a project with a team

• Having worked with Agile project management practices

• Experience with data processing analytics and visualization tools in Python (such as pandas, matplotlib, Scipy, etc.)

• Strong understanding of SQL and querying to NoSQL database (eg. Mongo, Casandra, Redis

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Cambridge Technology
at Cambridge Technology
2 recruiters
Muthyala Shirish Kumar
Posted by Muthyala Shirish Kumar
Hyderabad
2 - 15 yrs
₹10L - ₹40L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
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From building entire infrastructures or platforms to solving complex IT challenges, Cambridge Technology helps businesses accelerate their digital transformation and become AI-first businesses. With over 20 years of expertise as a technology services company, we enable our customers to stay ahead of the curve by helping them figure out the perfect approach, solutions, and ecosystem for their business. Our experts help customers leverage the right AI, big data, cloud solutions, and intelligent platforms that will help them become and stay relevant in a rapidly changing world.


No Of Positions: 1


Skills required: 

  • The ideal candidate will have a bachelor’s degree in data science, statistics, or a related discipline with 4-6 years of experience, or a master’s degree with 4-6 years of experience. A strong candidate will also possess many of the following characteristics:
  • Strong problem-solving skills with an emphasis on achieving proof-of-concept
  • Knowledge of statistical techniques and concepts (regression, statistical tests, etc.)
  • Knowledge of machine learning and deep learning fundamentals
  • Experience with Python implementations to build ML and deep learning algorithms (e.g., pandas, numpy, sci-kit-learn, Stats Models, Keras, PyTorch, etc.)
  • Experience writing and debugging code in an IDE
  • Experience using managed web services (e.g., AWS, GCP, etc.)
  • Strong analytical and communication skills
  • Curiosity, flexibility, creativity, and a strong tolerance for ambiguity
  • Ability to learn new tools from documentation and internet resources.

Roles and responsibilities :

  • You will work on a small, core team alongside other engineers and business leaders throughout Cambridge with the following responsibilities:
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  • Build full-stack data science solutions up to MVP that can be deployed into existing client business processes or scaled up based on clear documentation.
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Experience :

2 - 14 Yrs

Read more
Envoy Global
at Envoy Global
1 recruiter
Swetha Akkala
Posted by Swetha Akkala
Hyderabad
3 - 5 yrs
₹4L - ₹8L / yr
Data Analytics
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Tableau
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The Data Quality Engineer will be responsible for designing, developing, documenting and performing data quality checks across all data assets developed at Envoy. That includes ETL jobs, reports, dashboards and data pipelines. The primary goal for this role is to ensure high quality of data delivered to internal stakeholders and customers. Validation of data in data repositories (DW, Data Marts) against data from source systems and validation of metrics and data in reports/dashboards against data in the repositories is a key responsibility. Essentially, making data assets consistently accurate for users.

As the successful candidate, you will be required to:

 

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  • Work in conjunction with BI and Data Engineers to ensure high quality Data Deliverable
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  • Write SQL scripts to validate data surfacing in BI assets against the data sources
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  • Track, monitor and document testing results

 

To be eligible for this role, you should possess the following:

  • Demonstrated ability to write complex SQL/TSQL queries to retrieve/modify data
  • Ability to work in an Agile environment
  • Ability to learn new tools and technologies and adapt to an evolving tech-scape

 

 

Envoy Global is an equal opportunity employer and will recruit, hire, train and promote into all job levels the most qualified applicants without regard to race, colour, religion, sex, national origin, age, disability, ancestry, sexual orientation, gender identification, veteran status, pregnancy, or any other protected classification.

Read more
Novo
at Novo
2 recruiters
Dishaa Ranjan
Posted by Dishaa Ranjan
Bengaluru (Bangalore), Gurugram
4 - 6 yrs
₹25L - ₹35L / yr
SQL
Python
pandas
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TensorFlow
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About Us: 

Small businesses are the backbone of the US economy, comprising almost half of the GDP and the private workforce. Yet, big banks don’t provide the access, assistance and modern tools that owners need to successfully grow their business. 


We started Novo to challenge the status quo—we’re on a mission to increase the GDP of the modern entrepreneur by creating the go-to banking platform for small businesses (SMBs). Novo is flipping the script of the banking world, and we’re excited to lead the small business banking revolution.


At Novo, we’re here to help entrepreneurs, freelancers, startups and SMBs achieve their financial goals by empowering them with an operating system that makes business banking as easy as iOS. We developed modern bank accounts and tools to help to save time and increase cash flow. Our unique product integrations enable easy access to tracking payments, transferring money internationally, managing business transactions and more. We’ve made a big impact in a short amount of time, helping thousands of organizations access powerfully simple business banking.  



We are looking for a Senior Data Scientist who is enthusiastic about using data and technology to solve complex business problems. If you're passionate about leading and helping to architect and develop thoughtful data solutions, then we want to chat. Are you ready to revolutionize the small business banking industry with us?


About the Role: (specific to the role-- describe the role activities/duties, who they interact with, what they are accountable for, how the role operates in the team, department and organization)


  • Build and manage predictive models focussed on credit risk, fraud, conversions, churn, consumer behaviour etc
  • Provides best practices, direction for data analytics and business decision making across multiple projects and functional areas
  • Implements performance optimizations and best practices for scalable data models, pipelines and modelling
  • Resolve blockers and help the team stay productive
  • Take part in building the team and iterating on hiring processes

Requirements for the Role: (these are specific to the role-- technical skills and requirements to fulfill the job duties, certifications, years of experience, degree)


  • 4+ years of experience in data science roles focussed on managing data processes, modelling and dashboarding
  • Strong experience in python, SQL and in-depth understanding of modelling techniques
  • Experience working with Pandas, scikit learn, visualization libraries like plotly, bokeh etc.
  • Prior experience with credit risk modelling will be preferred
  • Deep Knowledge of Python to write scripts to manipulate data and generate automated  reports

How We Define Success: (these are specific to the role-- should be tied to performance management, OKRs or general goals)


  • Expand access to data driven decision making across the organization
  • Solve problems in risk, marketing, growth, customer behaviour through analytics models that increase efficacy

Nice To Have, but Not Required:

  • Experience in dashboarding libraries like Python Dash and exposure to CI/CD 
  • Exposure to big data tools like Spark, and some core tech knowledge around API’s, data streaming etc.


Novo values diversity as a core tenant of the work we do and the businesses we serve. We are an equal opportunity employer, indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information or any other protected characteristic. 

Read more
FarMart
Deepak  Mishra
Posted by Deepak Mishra
Gurugram, Delhi, Noida, Ghaziabad
2 - 4 yrs
₹16L - ₹20L / yr
Python
Machine Learning (ML)
Deep Learning
Data Science
Natural Language Processing (NLP)
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About FarMart At FarMart we are building the world’s first OS powering food value chains. By digitizing and incentivizing the rural agri-retailer, FarMart has created one-stop hubs for farmers to buy input and sell output in close proximity to their farms. This alternative, asset-light, food value chain eliminates the considerable transportation costs, spillages, and time effort for both the producer and the end-buyer. Are you passionate about the intersection of tech and food?

Role: Data Scientist II 
Experience: 2-4 years
About You 
Are you a beginner whose eyes light up when you see the progress bar of your model training or are you an experienced data professional whose heart sinks as the model loss starts to climb up? If that’s you, we like you already. Do you think about problem statements when you are on a cab ride or do you open up blog articles to entertain and enlighten you in boring meetings? If that’s you, we like you more now. All in all, you must have an insatiable hunger for knowledge and a team player attitude!

Key Responsibilities

  • Understand and optimize the data infrastructure
  • Develop visualization dashboards for the business and operations team - Setup and own data acquisition for several external sources
  • Manage and clean the data for use by several systems
  • Develop state-of-the-art Deep Learning/Classical models
  • Deploy and Maintain production services
  • Contribute to the community through open-source, blogs, etc.

What are we looking for

  • Deep understanding of core concepts
  • Broader knowledge of different types of problem statements and approaches
  • Excellent hold on Python and the standard library
  • Knowledge of industry-standard tools like scikit-learn, TensorFlow/PyTorch, etc.
  • Experience with Computer Vision, Forecasting, and NLP will come in handy.
  • A get shit done attitude
  • A research mindset and a creative caliber to utilize previous work to your advantage.
Read more
Fundnel Pte Ltd
at Fundnel Pte Ltd
1 recruiter
Falguni  Valodra
Posted by Falguni Valodra
Mumbai
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₹5L - ₹7L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
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We’re building the future of private financial markets

Traditionally a space only for the wealthy and well-connected, we believe in a future where private markets are more accessible to investors and fundraisers. By leveling the playing field we hope to create a more equitable economy, where inspiring companies are connected to inspired investors, whoever and wherever they are.

Leveraging our trusted brand, global networks and incredible team, we’re building a technology-enabled ecosystem that is as diverse and dynamic as our investor network. As we progress on this ambitious journey, we’re looking for energetic and creative people to support and leave their mark on our platform.


Before Applying

  • We have big plans to disrupt the traditional fundraising process for private businesses
  • You will work with a diverse team of former investment bankers, strategy consultants and business owners in developing, monitoring, and improving products to facilitate the activity of private investing
  • Everything we do is focused on helping build the private capital markets for the next generation of business owners and investors
  • We work really hard but play really hard as well

Job purpose

  • We are looking for passionate Data Scientists with strong problem-solving skills and prior experience in building machine learning models. You should possess the ability to thrive in a fast-paced environment. As a Data Scientist, working with passionate data-driven enthusiasts, you will lead the deployment of decision sciences with advanced analytics as well as machine learning and AI capabilities to support various lines of businesses. You will also help to enable a data driven culture within the organization.

Roles and responsibilities

  • Work with other Data Scientists, Data Engineers, Data Analysts, Software engineers to build and manage data products
  • Work on cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
  • Develop an enterprise data science strategy to achieve scale, synergies, and sustainability of model deployment
  • Undertake rigorous analyses of business problems on structured and unstructured data with advanced quantitative techniques.
  • Apply your expertise in data science, statistical analysis, data mining and the visualisation of data to derive insights that value-add to business decision making (e.g. hypothesis testing, development of MVPs, prototyping etc).
  • Manage and optimize processes for data intake, validation, mining, and engineering as well as modeling, visualization and communication deliverable.

You’ll be a great fit for us if you

  • Bachelor or Master’s in Computer Science, Statistics, Mathematics, Economics, or any other related fields
  • At least 3 to 5 years of hands-on experience in a Data Science role with exposure and proficiency in quantitative and statistical analysis, predictive analytics,multi-variate testing and algorithm-optimization for machine learning
  • Deep expertise in a range of ML concepts, frameworks and techniques such as logistic regression, clustering, dimensional reduction, recommendation systems,neural nets etc.
  • Strong understanding of data infrastructure technologies (e.g. Spark, TensorFlow etc).
  • Familiarity with data engineering methodologies, including SQL, ETL and experience in manipulating data sets with structured and unstructured data using Hadoop, AWS or other big data platforms.
  • Highly proficient in data visualization and the use of dash boarding tools (e.g.Tableau, Matplotlib, plot.ly etc).
  • Proven track record in delivering bespoke data science solutions in a cross-functional setting.
  • Experience in managing a small team is preferred.

Bonus attributes

  • Interested in dealing with data, including finding, and exploring more efficient ways/programs (e.g. machine learning) to collect, store, and analyse data
  • Preferably have some understanding of terms in financial statements and financial ratios
  • Strong problem-solving skills – able to find various ways to solve problems and decide which solution to move forward
  • Ability to work under pressure and tight timings
  • Team oriented, but highly independent for their own projects
  • High level of organisational skills and ability to prioritize
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Mumbai
5 - 7 yrs
₹20L - ₹25L / yr
AWS KINESYS
Data engineering
AWS Lambda
DynamoDB
data pipeline
+11 more
  • Key responsibility is to design & develop a data pipeline for real-time data integration, processing, executing of the model (if required), and exposing output via MQ / API / No-SQL DB for consumption
  • Provide technical expertise to design efficient data ingestion solutions to store & process unstructured data, such as Documents, audio, images, weblogs, etc
  • Developing API services to provide data as a service
  • Prototyping Solutions for complex data processing problems using AWS cloud-native solutions
  • Implementing automated Audit & Quality assurance Checks in Data Pipeline
  • Document & maintain data lineage from various sources to enable data governance
  • Coordination with BIU, IT, and other stakeholders to provide best-in-class data pipeline solutions, exposing data via APIs, loading in down streams, No-SQL Databases, etc

Skills

  • Programming experience using Python & SQL
  • Extensive working experience in Data Engineering projects, using AWS Kinesys,  AWS S3, DynamoDB, EMR, Lambda, Athena, etc for event processing
  • Experience & expertise in implementing complex data pipeline
  • Strong Familiarity with AWS Toolset for Storage & Processing. Able to recommend the right tools/solutions available to address specific data processing problems
  • Hands-on experience in Unstructured (Audio, Image, Documents, Weblogs, etc) Data processing.
  • Good analytical skills with the ability to synthesize data to design and deliver meaningful information
  • Know-how on any No-SQL DB (DynamoDB, MongoDB, CosmosDB, etc) will be an advantage.
  • Ability to understand business functionality, processes, and flows
  • Good combination of technical and interpersonal skills with strong written and verbal communication; detail-oriented with the ability to work independently

Functional knowledge

  • Real-time Event Processing
  • Data Governance & Quality assurance
  • Containerized deployment
  • Linux
  • Unstructured Data Processing
  • AWS Toolsets for Storage & Processing
  • Data Security

 

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Nanonets
at Nanonets
2 candid answers
1 product
Neil Shroff
Posted by Neil Shroff
Remote, Mumbai, Bengaluru (Bangalore)
3 - 10 yrs
$25K - $50K / yr
Deep Learning
TensorFlow
Machine Learning (ML)
Python

We are looking for an engineer with ML/DL background.


Ideal candidate should have the following skillset

1) Python
2) Tensorflow
3) Experience building and deploying systems
4) Experience with Theano/Torch/Caffe/Keras all useful
5) Experience Data warehousing/storage/management would be a plus
6) Experience writing production software would be a plus
7) Ideal candidate should have developed their own DL architechtures apart from using open source architechtures.
8) Ideal candidate would have extensive experience with computer vision applications


Candidates would be responsible for building Deep Learning models to solve specific problems. Workflow would look as follows:

1) Define Problem Statement (input -> output)
2) Preprocess Data
3) Build DL model
4) Test on different datasets using Transfer Learning
5) Parameter Tuning
6) Deployment to production


Candidate should have experience working on Deep Learning with an engineering degree from a top tier institute (preferably IIT/BITS or equivalent)

Read more
WyngCommerce
at WyngCommerce
3 recruiters
Ankit Jain
Posted by Ankit Jain
Bengaluru (Bangalore)
1 - 3 yrs
₹6L - ₹8L / yr
Data Analytics
Predictive analytics
Business Analysis
Data Science
Python
WyngCommerce is building a Global Enterprise AI Platform for top tier brands and retailers to drive profitability for our clients. Our vision is to develop a self-learning retail backend that enables our clients to become more agile and responsive to demand and supply volatilities. We are looking for a Business Analyst to join our team. As a BA, you will take end-to-end ownership of on-boarding new clients, running proof-of-concepts and pilots with them on different AI product applications, and ensuring timely product roll-out and customer success for the clients. You will also be expected to drive significant inputs to the sales, engineering, data science and product team to help us build for scale. An eye for detail, ability to process and analyze data quickly, and communicating effectively with different teams (Client, Sales and Engineering) are the qualities we are looking for. There will be opportunities to grow up within the same job family (lead a team of analysts) or to move to other areas of business like customer success, data science or product management. KEY RESPONSIBILITIES: - Understand the client deliverables from the sales team and come back to them with the timelines of solution / product delivery - Coordinate with relevant stakeholders within the client team to configure the WyngCommerce platform to their business, set-up processes for regular data sharing - Drive relevant anomaly detection analyses and work on data pre-processing to prepare the data for the WyngCommerce Analytics engine - Drive rigorous testing of results from the WyngCommerce engine and apply manual overrides, wherever required before pushing the results to the client - Evaluate business outcomes of different engagements with the client and prepare the analysis for the business benefits to the clients KEY REQUIREMENTS: - 0-2 years of experience in analytics role (preferably client facing which required you to interface with multiple stakeholders) - Hands-on experience in data analysis (descriptive), visualization and data pre-processing - Hands-on experience in python, especially in data processing and visualization libraries like pandas, numpy, matplotlib, seaborn - Good understanding of statistical and predictive modeling concepts (you not need be completely hands-on) - Excellent analytical thinking, and problem solving skills - Experience in project management and handling client communications - Excellent communication (written/verbal) skills, including logically structuring and delivering presentations
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Subodh Popalwar's profile image

Subodh Popalwar

Software Engineer, Memorres
For 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
Companies hiring on Cutshort
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