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Data Scientist – Delivery & New Frontiers Manager 

Job Description:   

We are seeking highly skilled and motivated data scientist to join our Data Science team. The successful candidate will play a pivotal role in our data-driven initiatives and be responsible for designing, developing, and deploying data science solutions that drives business values for stakeholders. This role involves mapping business problems to a formal data science solution, working with wide range of structured and unstructured data, architecture design, creating sophisticated models, setting up operations for the data science product with the support from MLOps team and facilitating business workshops. In a nutshell, this person will represent data science and provide expertise in the full project cycle. Expectation of the successful candidate will be above that of a typical data scientist. Beyond technical expertise, problem solving in complex set-up will be key to the success for this role. 

Responsibilities: 

• Collaborate with cross-functional teams, including software engineers, product managers, and business stakeholders, to understand business needs and identify data science opportunities. 
• Map complex business problems to data science problem, design data science solution using GCP/Azure Databricks platform. 
• Collect, clean, and preprocess large datasets from various internal and external sources.  
• Streamlining data science process working with Data Engineering, and Technology teams. 
• Managing multiple analytics projects within a Function to deliver end-to-end data science solutions, creation of insights and identify patterns.  
• Develop and maintain data pipelines and infrastructure to support the data science projects 
• Communicate findings and recommendations to stakeholders through data visualizations and presentations. 
• Stay up to date with the latest data science trends and technologies, specifically for GCP companies 

Education / Certifications:  

Bachelor’s or Master’s in Computer Science, Engineering, Computational Statistics, Mathematics. 

Job specific requirements:  

• Brings 5+ years of deep data science experience 

∙       Strong knowledge of machine learning and statistical modeling techniques in a in a clouds-based environment such as GCP, Azure, Amazon 

• Experience with programming languages such as Python, R, Spark 
• Experience with data visualization tools such as Tableau, Power BI, and D3.js 
• Strong understanding of data structures, algorithms, and software design principles 
• Experience with GCP platforms and services such as Big Query, Cloud ML Engine, and Cloud Storage 
• Experience in configuring and setting up the version control on Code, Data, and Machine Learning Models using GitHub. 
• Self-driven, be able to work with cross-functional teams in a fast-paced environment, adaptability to the changing business needs. 
• Strong analytical and problem-solving skills 
• Excellent verbal and written communication skills 
• Working knowledge with application architecture, data security and compliance team. 

Quant Research, TIFIN

Mumbai, India

WHO WE ARE:

TIFIN is a fintech platform backed by industry leaders including JP Morgan, Morningstar, Broadridge, Hamilton Lane, Franklin Templeton, Motive Partners and a who’s who of the financial service industry. We are creating engaging wealth experiences to better financial lives through AI and investment intelligence powered personalization. We are working to change the world of wealth in ways that personalization has changed the world of movies, music and more but with the added responsibility of delivering better wealth outcomes.

We use design and behavioral thinking to enable engaging experiences through software and application programming interfaces (APIs). We use investment science and intelligence to build algorithmic engines inside the software and APIs to enable better investor outcomes.

In a world where every individual is unique, we match them to financial advice and investments with a recognition of their distinct needs and goals across our investment marketplace and our advice and planning divisions.

OUR VALUES: Go with your GUT

●     Grow at the Edge. We are driven by personal growth. We get out of our comfort zone and keep egos aside to find our genius zones. With self-awareness and integrity we strive to be the best we can possibly be. No excuses.

●     Understanding through Listening and Speaking the Truth. We value transparency. We communicate with radical candor, authenticity and precision to create a shared understanding. We challenge, but once a decision is made, commit fully.

●     I Win for Teamwin. We believe in staying within our genius zones to succeed and we take full ownership of our work. We inspire each other with our energy and attitude. We fly in formation to win together.

WHAT YOU'LL BE DOING:

We are looking for an experienced quantitative professional to develop, implement, test, and maintain the core algorithms and R&D framework for our Investment and investment advisory platform. The ideal candidate for this role has successfully implemented and maintained quantitative and statistical modules using modular software design constructs. The candidate needs to be a responsible product owner, a problem solver and a team player looking to make a significant impact on a fast-growing company. The successful candidate will directly report to the Head of Quant Research & Development.

RESPONSIBILITIES:

• The end-to-end research, development, and maintenance of investment platform, data and algorithms
• Take part in building out the R&D back testing and simulation engines
• Thoroughly vet investment algorithmic results 
• Contribute to the research data platform design
• Investigate datasets for use in new or existing algorithms
• Participate in agile development practices
• Liaise with stakeholders to gather & understand the functional requirements
• Take part in code reviews ensuring quality meets highest level of standards
• Develop software using high quality standards and best practices, conduct thorough end-to-end unit testing, and provide support during testing and post go-live
• Support research innovation through the creative and aggressive experimentation of cutting-edge hardware, software, processes, procedures, and methods
• Collaborate with technology teams to ensure appropriate requirements, standards, and integration

REQUIREMENTS:

• Experience in a quant research & development role
• Proficient in Python, Git and Jira
• Knowledge in SQL and database development (PostgreSQL is a plus)
• Understanding of R and RMarkdown is a plus
• Bachelor’s degree in computer science, computational mathematics, or financial engineering 
• Master’s degree or advanced training is a strong plus
• Excellent mathematical foundation and hands-on experience working in the finance industry
• Proficient in quantitative, statistical, and ML/AI techniques and their implementation using Python modules such as Pandas, NumPy, SciPy, SciKit-Learn, etc.
• Strong communication (written and oral) and analytical problem-solving skills
• Strong sense of attention to detail, pride in delivering high quality work and willingness to learn
• An understanding of or exposure to financial capital markets, various financial instruments (such as stocks, ETFs, Mutual Funds, etc.), and financial tools (such as Bloomberg, Reuters, etc.)

BENEFITS PACKAGE:

TIFIN offers a competitive benefits package that includes:

· Performance-linked variable compensation.

· Medical insurance

· Tax saving benefits

· Flexible PTO policy and Company-paid holidays

· Parental Leave: 6 month paid maternity, 2 week paid paternity leave

· Access to our Wellness trainers, including 1:1 personal coaching

for executives and rising stars

A note on location. While we have team centres in Boulder, New York City, San Francisco, Charlotte, and Bangalore,this role is based out of Mumbai.  

TIFIN is proud to be an equal opportunity workplace and values the multitude of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status.

Minimum of 8 years of experience of which, 4 years should be of applied data mining

experience in disciplines such as Call Centre Metrics.

 Strong experience in advanced statistics and analytics including segmentation, modelling, regression, forecasting etc.

 Experience with leading and managing large teams.

 Demonstrated pattern of success in using advanced quantitative analytic methods to solve business problems.

 Demonstrated experience with Business Intelligence/Data Mining tools to work with

data, investigate anomalies, construct data sets, and build models.

 Critical to share details on projects undertaken (preferably on telecom industry)

specifically through analysis from CRM.

Key Responsibilities:

1. Collaborate with business stakeholders and data analysts to understand reporting requirements and translate them into effective Power BI solutions.
2. Design and develop interactive and visually compelling dashboards, reports, and visualizations using Microsoft Power BI.
3. Ensure data accuracy and consistency in the reports by working closely with data engineers and data architects.
4. Optimize and streamline existing Power BI reports and dashboards for better performance and user experience.
5. Develop and maintain data models and data connections to various data sources, ensuring seamless data integration.
6. Implement security measures and data access controls to protect sensitive information in Power BI reports.
7. Troubleshoot and resolve issues related to Power BI reports, data refresh, and connectivity problems.
8. Stay updated with the latest Power BI features and capabilities, and evaluate their potential use in improving existing solutions.
9. Conduct training sessions and workshops for end-users to promote self-service BI capabilities and enable them to create their own reports.
10. Collaborate with the wider data and analytics team to identify opportunities for using Power BI to enhance business processes and decision-making.

Requirements:

1. Bachelor's degree in Computer Science, Information Systems, or a related field.
2. Proven experience as a Power BI Developer or similar role, with a strong portfolio showcasing previous Power BI projects.
3. Proficient in Microsoft Power BI, DAX (Data Analysis Expressions), and M (Power Query) to manipulate and analyze data effectively.
4. Solid understanding of data visualization best practices and design principles to create engaging and intuitive dashboards.
5. Strong SQL skills and experience with data modeling and database design concepts.
6. Knowledge of data warehousing concepts and ETL (Extract, Transform, Load) processes.
7. Ability to work with various data sources, including relational databases, APIs, and cloud-based platforms.
8. Excellent problem-solving skills and a proactive approach to identifying and addressing issues in Power BI reports.
9. Familiarity with data security and governance practices in the context of Power BI development.
10. Strong communication and interpersonal skills to collaborate effectively with cross-functional teams and business stakeholders.
11. Experience with other BI tools (e.g., Tableau, QlikView) is a plus.

The role of a Power BI Developer is critical in enabling data-driven decision-making and empowering business users to gain valuable insights from data. The successful candidate will have a passion for data visualization and analytics, along with the ability to adapt to new technologies and drive continuous improvement in BI solutions. If you are enthusiastic about leveraging the power of data through Power BI, we encourage you to apply and join our dynamic team.

Exp-Min 10 Years

Location Mumbai

Sal-Nego

Powerbi, Tableau, QlikView,

Solution Architect/Technology Lead – Data Analytics

Role

Looking for Business Intelligence lead (BI Lead) having hands on experience BI tools (Tableau, SAP Business Objects, Financial and Accounting modules, Power BI), SAP integration, and database knowledge including one or more of Azure Synapse/Datafactory, SQL Server, Oracle, cloud-based DB Snowflake. Good knowledge of AI-ML, Python is also expected.

• You will be expected to work closely with our business users. The development will be performed using an Agile methodology which is based on scrum (time boxing, daily scrum meetings, retrospectives, etc.) and XP (continuous integration, refactoring, unit testing, etc) best practices. Candidates must therefore be able to work collaboratively, demonstrate good ownership, leadership and be able to work well in teams.
• Responsibilities :
• Design, development and support of multiple/hybrid Data sources, data visualization Framework using Power BI, Tableau, SAP Business Objects etc. and using ETL tools, Scripting, Python Scripting etc.
• Implementing DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test-Driven Development to enable the rapid delivery of working code-utilizing tools like Git. Primary Skills

Requirements

• 10+ years working as a hands-on developer in Information Technology across Database, ETL and BI (SAP Business Objects, integration with SAP Financial and Accounting modules, Tableau, Power BI) & prior team management experience
• Tableau/PowerBI integration with SAP and knowledge of SAP modules related to finance is a must
• 3+ years of hands-on development experience in Data Warehousing and Data Processing
• 3+ years of Database development experience with a solid understanding of core database concepts and relational database design, SQL, Performance tuning
• 3+ years of hands-on development experience with Tableau
• 3+ years of Power BI experience including parameterized reports and publishing it on PowerBI Service
• Excellent understanding and practical experience delivering under an Agile methodology
• Ability to work with business users to provide technical support
• Ability to get involved in all the stages of project lifecycle, including analysis, design, development, testing, Good To have Skills
• Experience with other Visualization tools and reporting tools like SAP Business Objects.

Exp-10 Years

Location Mumbai

Ready to work from Office

Permanent role

Role

Business Analytics/Data Analytics Lead

• Enable Business Transformation with Data Analytics by working with our big clients in major sectors such as Oil & Gas, Manufacturing, Retail, BFSI
• Partner business teams to understand the business area, work with the team to evolve and define the business problems, use-cases, translate the same into an analytical problem, design solution approach, define ROI, help execute to deliver relevant insights that lead to actions and business value.
• Connect business requirements with Technology solutions and be able to determine feasibility, technical gaps, size etc.
• Be able to define a project plan for the identified solutions, help hire and train technical resources, be the glue between Business team and the technical/implementation team
• Be proficient at solving ad hoc business problems, innovating on potential future solutions, and working with technology partners to build solutions and/or creative approaches to solve ‘one of a kind’ problems.
• Embed tested solutions to make them business as usual and help quantify value benefits from analytics.
• Be creative and a committed problem-solver using Data and Advanced analytics skill alongside leadership and direct engagement of business leaders.
• Be a trusted advisor to the client CxOs/leadership team in evangelising the use of Data & Data Science in business decisions. Help accelerate the organisation journey to become data driven.
• Provide input during development and implementation phases, including formulation and definition of systems scope, objectives and necessary system enhancements for complex, high-impact projects
• Work with development and testing teams to deliver solutions and support UAT
• Identify and communicate risks and impacts and propose risk mitigation options, considering business implications of the application of technology to the current business environment.

Qualifications

• 10+ years experience in technology/project management/product management/solution delivery
• 4+ years of relevant work experience in roles partnering in Data Analytics related use-cases and solutions resulting in significant cost, productivity and/or quality gains for the business
• Bachelors degree in a relevant technical field (Computer Science, IT, Statistics, Business Analytics or similar). MBA preferred

·       Experience of specifying and writing business requirements and suggesting appropriate solutions in the field of Data Analytics/AI

• Prior industry experience in defining/creating Data Analytics solutions  in one or more of Oil & Gas, BFSI, Manufacturing, Retail sectors.
• Strong preference for experience in setting up & managing analytics / data products / platforms & leading change management.
• Be able to articulate and have a keen eye on the value that Data Analytics, AI, Machine Learning, Data Lake/Catalogue can bring to organizations
• Ability to communicate complex quantitative insights in a precise, and actionable manner
• Strong communication skills and ability to work with peers & senior stakeholders demonstrating strong vertical and lateral influence.
• Working knowledge of Analytics tools such as PowerBI, Tableau, AI modelling such as Regression, Classification, and Time Series Problems.
• Experience building insights from analytics & telling data stories
• Passion for empirical research and for answering hard questions with data

Roles & Responsibilities:

•             Ability to work as a member of a team assigned to design and implement solutions.

•             Data analysis - skills to conduct analysis and deliver recommendations to the team and customer.

•             Dashboard and Dataset development - develop dashboards and datasets that meet and exceed customer requirements.

•             Presentation skills - demonstrated ability to simplify complex situations and ideas and distil them into compelling and effective written and oral presentations.

•             Learn quickly - the ability to understand and rapidly comprehend new areas, functional and technical, and apply detailed and critical thinking to customer solutions.

•             Experience in vendor and/or project management

•             Strong problem solving capabilities to participate in complex strategic initiatives

Skills Experience:

•             Hands-on experience working with Tableau CRM,Force.com using Apex, triggers, Visualforce and LWC.

•             Experience in documenting data flows and mapping

•             Experience of preparing / transforming the data using custom SQL

•             Ability to understand the best way of visualizing complex datasets

•             Previous experience using Einstein Discovery is a plus.

•             Must have strong communication and collaboration skills

We are establishing infrastructure for internal and external reporting using Tableau and are looking for someone with experience building visualizations and dashboards in Tableau and using Tableau Server to deliver them to internal and external users. 

Required Experience 

• Implementation of interactive visualizations using Tableau Desktop  
• Integration with Tableau Server and support of production dashboards and embedded reports with it 

• Writing and optimization of SQL queries  
• Proficient in Python including the use of Pandas and numpy libraries to perform data exploration and analysis 
• 3  years of experience working as a Software Engineer / Senior Software Engineer 
• Bachelors in Engineering – can be Electronic and comm , Computer , IT  
• Well versed with Basic Data Structures Algorithms and system design 

• Should be capable of working well in a team – and should possess very good communication skills 
• Self-motivated and fun to work with and organized 
• Productive and efficient working remotely 
• Test driven mindset with a knack for finding issues and problems at earlier stages of development 
• Interest in learning and picking up a wide range of cutting edge technologies 

• Should be curious and interested in learning some Data science related concepts and domain knowledge 
• Work alongside other engineers on the team to elevate technology and consistently apply best practices 

Highly Desirable 

• Data Analytics 

• Experience in AWS cloud or any cloud technologies 
• Experience in BigData technologies and streaming like – pyspark, kafka is a big plus 
• Shell scripting  
• Preferred tech stack – Python, Rest API, Microservices, Flask/Fast API, pandas, numpy, linux, shell scripting, Airflow, pyspark 
• Has a strong backend experience – and worked with Microservices and Rest API’s - Flask, FastAPI, Databases Relational and Non-relational 

Responsibilities

• Manage and drive a team of Data Analysts and Sr. Data Analysts to provide logistics and supply chain solutions.
• Conduct meetings with Clients to gather the requirements and understand the scope.
• Conduct meetings with internal stake holders to walk them through the solution and handover the analysis.
• Define business problems, identify solutions, provide analysis and insights from the client's data.
• 5 Conduct scheduled progress reviews on all projects and interact with onsite team daily.
• Ensure solutions are delivered error free and submitted on time.
• Implement ETL processes using Pentaho Data Integration (Pentaho ETL)Design and implement data models in Hadoop.
• Provide end-user training and technical assistance to maximize utilization of tools.
• Deliver technical guidance to team, including hands-on development as necessary; oversee standards, change controls and documentation library for training and reuse.

Requirements

• Bachelor's degree in Engineering.
• 16+ years of experience in Supply Chain and logistics or related industry and Analytics experience.
• 3 years of experience in team handling(8+People) and interacting with the executive leadership teams.
• Strong project and time management skills with ability to multitask and prioritize workload.
• Solid expertise with MS Excel, SQL, any visualization tools like Tableau/Power BI, any ETL tools.
• Proficiency in Hadoop / Hive.
• Experience Pentaho ETL, Pentaho Visualization API, Tableau.
• Hands on experience of working with Big data sets (Data sets with millions of records).
• Strong technical and Management experience.

Desired Skills and Experience

• NET,ASP.NET

Responsibilities:

• Configure and maintain Tableau Server Software Layer.
• In charge of system administration (includes site creation, server maintenance/upgrades/patches) and change management
• Monitor server activity/usage statistics to identify possible performance issues
• Carry out performance tuning of tableau server environment (clustering, load balancing)
• Create/Manage groups, workbooks and projects, database views, data sources and data connections.
• Proactively communicate with stakeholders to resolve issues and get work done
• Set up a governance process around Tableau dashboard processes.

Qualifications

• Bachelor's degree in computer science, business analytics or related field
• 3 or more years of professional experience as an administrator
• Experience in developing, configuring and administering Tableau Server.
• Ability to play with data and build reports / dashboards using Tableau
• Strong written and verbal communication skills

Our client is the world’s largest media investment company and are a part of WPP. In fact, they are responsible for one in every three ads you see globally. We are currently looking for a Senior Software Engineer to join us. In this role, you will be responsible for coding/implementing of custom marketing applications that Tech COE builds for its customer and managing a small team of developers.

What your day job looks like:

• Serve as a Subject Matter Expert on data usage – extraction, manipulation, and inputs for analytics
• Develop data extraction and manipulation code based on business rules
• Develop automated and manual test cases for the code written
• Design and construct data store and procedures for their maintenance
• Perform data extract, transform, and load activities from several data sources.
• Develop and maintain strong relationships with stakeholders
• Write high quality code as per prescribed standards.
• Participate in internal projects as required

 
Minimum qualifications:

• B. Tech./MCA or equivalent preferred
• Excellent 3 years Hand on experience on Big data, ETL Development, Data Processing.

    What you’ll bring:

• Strong experience in working with Snowflake, SQL, PHP/Python.
• Strong Experience in writing complex SQLs
• Good Communication skills
• Good experience of working with any BI tool like Tableau, Power BI.
• Sqoop, Spark, EMR, Hadoop/Hive are good to have.

• Act as primary day-to-day contact on analytics to agency-client leads
• Develop bespoke analytics proposals for presentation to agencies & clients, for delivery within the teams
• Ensure delivery of projects and services across the analytics team meets our stakeholder requirements (time, quality, cost)
• Hands on platforms to perform data pre-processing that involves data transformation as well as data cleaning
  
• Ensure data quality and integrity
  
• Interpret and analyse data problems
  
• Build analytic systems and predictive models
  
• Increasing the performance and accuracy of machine learning algorithms through fine-tuning and further
  
• Visualize data and create reports
  
• Experiment with new models and techniques
  
• Align data projects with organizational goals

• Min 6 - 7 years’ experience working in Data Science
• Prior experience as a Data Scientist within a digital media is desirable
• Solid understanding of machine learning
• A degree in a quantitative field (e.g. economics, computer science, mathematics, statistics, engineering, physics, etc.)
• Experience with SQL/ Big Query/GMP tech stack / Clean rooms such as ADH
• A knack for statistical analysis and predictive modelling
• Good knowledge of R, Python
• Experience with SQL, MYSQL, PostgreSQL databases
• Knowledge of data management and visualization techniques
• Hands-on experience on BI/Visual Analytics Tools like PowerBI or Tableau or Data Studio
• Evidence of technical comfort and good understanding of internet functionality desirable
• Analytical pedigree - evidence of having approached problems from a mathematical perspective and working through to a solution in a logical way
• Proactive and results-oriented
• A positive, can-do attitude with a thirst to continually learn new things
• An ability to work independently and collaboratively with a wide range of teams
• Excellent communication skills, both written and oral

• Developing, maintaining, and managing advanced reporting, analytics, dashboards and other BI solutions.
• Performing and documenting data analysis, data validation, and data mapping/design.
• Reviewing and improving existing systems and collaborating with teams to integrate new systems.
• Conducting unit tests and developing database queries to analyze the effects and troubleshoot any issues.
• Creating tools to store data within the organization.

Specialism- Advance Analytics, Data Science, regression, forecasting, analytics, SQL, R, python, decision tree, random forest, SAS, clustering classification

Senior Analytics Consultant- Responsibilities

• Understand business problem and requirements by building domain knowledge and translate to data science problem
• Conceptualize and design cutting edge data science solution to solve the data science problem, apply design thinking concepts
• Identify the right algorithms , tech stack , sample outputs required to efficiently adder the end need
• Prototype and experiment the solution to successfully demonstrate the value
  Independently or with support from team execute the conceptualized solution as per plan by following project management guidelines
• Present the results to internal and client stakeholder in an easy to understand manner with great story telling, story boarding, insights and visualization
• Help build overall data science capability for eClerx through support in pilots, pre sales pitches, product development , practice development initiatives

Roles and Responsibilities:

• Review training content and assessments. The review parameters include (but are not limited to) the following:

○ Rewrite the training content wherever necessary to simplify it or to make it more age

appropriate.

○ Create engaging learning activities and provide exercises and activities that enhance

the learning process.

○ Devise modes of assessment, such as tests or quizzes, to measure the effectiveness

of course.

○ Analyze and apply trends and best practices in learning technologies and instructional

design.

○ Suggest instructional enhancements to the content and assessments so the learning

experience is superior.

○ Check if all the training assets follow the instructional guidelines.

○ Work with subject matter experts to identify target audience’s training needs

○ Do a thorough language review.

○ Do a thorough formatting check and fixes.

• Brainstorm with the content developer to storyboard the concepts introduced in a lesson/chapter.
• Create guidelines and templates as and when needed.
• Conduct audits of the live classes to check how the content is getting translated into the actual class experience.
• Give inputs for process improvements.

Skill Set:

1. General:

• In-depth understanding of activity based teaching-learning methods with a strong knowledge of pedagogies to teach 21st Century Skills.
• At least 3-4 years of experience in instructional design and/or content writing.
• Experience in editing documents with an eye for details.
• Demonstrated ability to meet deadlines, handle and prioritize simultaneous requests, and manage laterally and upwards.
• Creative and analytical thinker with strong problem-solving skills.
• Excellent verbal and written communication skills.

○ Must demonstrate the ability to communicate effectively at all levels of the 

organization.

1. Technical:

• Understanding of Object-Oriented concepts.
• Basic understanding of core programming concepts with teaching skills will be an asset.
• Good exposure on-
  • Object-Oriented Programming language(s) (preferably JavaScript/Python)
  • Web Technology (HTML/CSS/JavaScript)- Front End Development
  • Block-Based Coding environment like Code.org or Scratch will be a plus
  • Knowledge of RDBMS (MySQL, Airtable, Firebase etc.) will be an added advantage

About Us

upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow.

• upGrad was awarded the Best Tech for Education by IAMAI for 2018-19

• upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought-

  after startups in India

• upGrad was earlier selected as one of the top ten most innovative companies in India

  by FastCompany.

• We were also covered by the Financial Times along with other disruptors in Ed-Tech

• upGrad is the official education partner for Government of India - Startup India

  program

• Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning

   

  Role Summary

  Are you excited by the challenge and the opportunity of applying data-science and data- analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education?
  If this is you, come join us and become a part of the upGrad technology team. At upGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to ourmarketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired careeroutcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand.
  We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment.
  Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company.

  
  Roles & Responsibilities

  • • 3+ years of experience in analytics, data science, machine learning or comparable role
    • Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline 
    • Experience in building and deploying Machine Learning models in Production systems
    • Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand
    • Strong programming skills: comfortable with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL
    • Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders 
    • Comfortable dealing with ambiguity and competing objectives

     

    Skills Required

    • Experience in Text Analytics, Natural Language Processing

    • Advanced degree in Data Science/Data Analytics or Math/Statistics

    • Comfortable with data-visualization tools and techniques

    • Knowledge of AWS and Data Warehousing

    • Passion for building data-products for Production systems - a strong desire to impact

      the product through data-science technique

Role Summary

We Are looking for an analytically inclined, Insights Driven Product Analyst to make our organisation more data driven. In this role you will be responsible for creating dashboards to drive insights for product and business teams. Be it Day to Day decisions as well as long term impact assessment, Measuring the Efficacy of different products or certain teams, You'll be Empowering each of them. The growing nature of the team will require you to be in touch with all of the teams at upgrad. Are you the "Go-To" person everyone looks at for getting Data, Then this role is for you.

Roles & Responsibilities

• Lead and own the analysis of highly complex data sources, identifying trends and patterns in data and provide insights/recommendations based on analysis results
• Build, maintain, own and communicate detailed reports to assist Marketing, Growth/Learning Experience and Other Business/Executive Teams
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.
• Analyze data and generate insights in the form of user analysis, user segmentation, performance reports, etc.
• Facilitate review sessions with management, business users and other team members
• Design and create visualizations to present actionable insights related to data sets and business questions at hand
• Develop intelligent models around channel performance, user profiling, and personalization

Skills Required

• Having 4-6 yrs hands-on experience with Product related analytics and reporting
• Experience with building dashboards in Tableau or other data visualization tools such as D3
• Strong data, statistics, and analytical skills with a good grasp of SQL.
• Programming experience in Python is must
• Comfortable managing large data sets
• Good Excel/data management skills

What you need to have: