What We’ll Bring:

We are looking to hire data scientists who would be part of Datalab team to support all internal analytics requirements and assist with research and development as needed

What You’ll Bring:

What we’ll bring:

• A work environment that encourages collaboration and innovation. We consistently explore new technologies and tools to be agile.
• Flexible time off, workplace flexibility, an environment that welcomes continued professional growth through support of tuition reimbursement, conferences and seminars.
• Our culture encourages our people to hone current skills and build new capabilities, while discovering their genius.
• We provide a modern computing environment based on best-in-class “big data” and cloud computing technologies and the freedom to explore new data sources and statistical and machine learning methodologies.
• Our Analytics team is home to some of the most brilliant minds in the market. Here, we will not only understand your stats jokes, we’ll appreciate them.

What you’ll bring:

• Bachelors (4 year) degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. And, at least five (5) years of professional experience performing analytic work in Financial Services, consumer credit, or a related industry
• Strong analytical, critical thinking, and creative problem-solving skills
• Advanced programming skills; proficiency with a statistical language such as R; experience using other programming and data manipulation languages preferred (SQL, Hive, Pig, Python, C/C++, Java); high level of familiarity with Microsoft Office tools
• Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment
• Strong project management skills with the ability to manage multiple assignments effectively
• Ability to travel 10-20%

Impact You’ll Make:

What we’d prefer to see:

• Master’s or PhD degree in statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative field. And, at least two (2) years of professional experience performing analytic work in Financial Services, consumer credit, or a related industry
• Familiarity with credit bureau data and business practices
• Experienced in designing, developing, and deploying consumer credit models for the Financial Services industry
• Operates independently in a complex and dynamic, matrixed environment
• Experienced working in a company with a global presence
• Experience with modern “big data” frameworks (Hadoop, Spark, cloud)

Impact you’ll make:

This position is responsible for developing data-driven solutions to challenging and complex problems related to IT infrastructure/ operations, data ingestion and quality control, and enhancing customer experience. You will also be responsible for consumer credit models, strategies, and business intelligence solutions through consulting engagements and research serving TransUnion and its clients. This position requires understanding consumer lending and credit risk management practices.

• You will partner with internal and external cross-functional teams to drive new business initiatives and deliver long-term value-added product propositions for B2B customers in TransUnion’s US financial services segment. This includes but is not limited to the development of predictive risk management and business intelligence solutions for credit card issuers, auto & mortgage lenders, collections agencies, and retail banks.
• You will lead analytic client engagements involving descriptive, predictive, and prescriptive leveraging various techniques (e.g., segmentation, logistic regression, survival analysis, principal component analysis, Monte Carlo simulation, scenario and sensitivity analysis).
• You will design and write programs for data extraction, segmentation, and statistical analysis on large population datasets using languages such as R, Python, SQL, Hive, and Spark on Linux, PC, and other big data computing platforms.
• You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers and an executive audience.
• You will develop project proposals, sales presentations, and promotional collateral to enable the adoption of integrated customer solutions supported by TransUnion.
• You will identify strategies and opportunities for customers to test and adopt TransUnion’s analytic products and services.
• You will provide mentorship and training to junior colleagues and maintain progress on all initiatives under limited direct supervision.
• You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law.

TransUnion Job Title

Consultant, Data Science and Analytics

The job function involves the activities related to building Machine Learning on Deep Learning Models in Automotive domain

JOB SUMMARY

Data Scientist responsible for data analysis and ML/ DL model development

KEY ROLES & RESPONSIBILITIES

· Build methodologies and standards to prepare, extract, and analyze different data variety of data sources under the guidance of tech lead

· Participate in all aspect’s requirements gathering, data acquisition and preparation, hypothesis generation, ideation, coding, testing, and deployment of data driven solution

· Be able to organize, manage, and analyze varied and large data sets, then connect dots and identify solutions and suggestions that can help our team reach its goals

· Write and speak about technical concepts to business, technical, and high-level audiences and giving data-driven presentations

· Timely deliveries while working on projects

· Use data science toolkit (Supervised, unsupervised models, reinforcement, and probabilistic machine learning models) & data visualization techniques

PREFERRED JOB REQUIREMENTS

§ Should have experience of at least 3+ years with Data Science

§ Should have a 2+ years’ experience in Python

§ Should have experience in pandas, numpy, sklearn, pyspark, tensorflow, keras etc.

§ Should have hands-on experience with one of Tableau, Power BI, Redash, Plotly etc.

§ Should have hand-on experience working on Cloud (AWS/Azure/GCP)

§ Should have hand-on experience working on data basesstructured, semi-structured and unstructured

§ Should have Basic Knowledge of CI/CD Pipeline

§ Should have excellent communication and written skills

§ Sound familiarity in Versioning tools (Git, SVN etc.)

§ Knowledge of latest developments in Machine Learning, Deep Learning, Optimization in Automotive domain.

§ Open minded approach to explore multiple algorithms to design optimal solution.

§ History of contribution to articles/blogs/whitepapers etc. in Analytics

§ History of contribution to Open Source e.g., contributed to sklearn, pandas etc.

MINIMUM JOB REQUIREMENTS

§ Bachelor’s Degree in Engineering or Master’s degree in mathematics or Statistics

§ Python programming knowledge

§ Hands on experience on Machine Learning or Deep Learning projects or products

§ Excellent time-management skills

§ Outstanding interpersonal skills, excellent problem-solving skills, self-motivation

Tools

§ Python, Git

Responsibilities

Qualifications

• PhD/MS/BS in CS/EE, mathematical or machine learning related disciplines, with 10 or more years of experience
• Solid understanding of probability, statistics, machine learning, data science
• A/B testing & analysis of ML models, and optimizing models for accuracy
• Experience with Hadoop, Spark, or other distributed computing systems for large-scale training & prediction with ML models.
• End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.

• Experience implementing machine learning algorithms or research papers from scratch
• Experience with TensorFlow/PyTorch and deep learning models is a plus

At Noodle.ai our mission is create a world without waste, and data is central to everything we do. We’re predicting the “unpredictable” chaos that forces businesses at the heart of the global economy to introduce waste into their manufacturing and supply chain processes, and we’re bringing business operations back into flow. To impact waste at a global scale, our engineering team needs to build data pipelines that scale

Noodle’s Data Scientists build advanced AI models that change the way our clients do business by empowering them to make better decisions. Our solutions impact small and large businesses ranging from media agencies, to retail companies, to airlines, to e-commerce sites, to top-secret agencies managing threat detection. Members of our Data Science team are passionate about problem solving with applied data science and work with clients to explore, specify, and communicate high-value, AI-based solutions. We geek out about AI technology.

Required Qualifications

• Bachelor’s or advanced degree in a relevant field (Computer Science, Operations Research, Statistics, Applied Math…) and relevant experience applying advanced AI techniques to real-world problems.

About your previous projects (required):

• Experience implementing different modelling approaches/ techniques in machine learning
• Hands on experience with common analysis tools (SQL and Python).
• Demonstrable familiarity with code and programming concepts.
• Strong communication skills: Ability to translate deep mathematical concepts and practices into language that non-experts can understand and build upon. And conversely, ability to translate business needs and user needs into language and concepts that other data scientists can understand and work with.
• Collaborative, open, and respectful working style
• Experience with (and excitement for) interdisciplinary collaboration
• Passion for learning and a desire to grow – Noodlers are life-long learners!

Nice to haves

• Experience with time series analysis and forecasting
• Experience with R

Demonstrated energy and passion that extends beyond your field of study – Are you a computer scientist who writes poetry? A mathematician who loves psychology. An engineer passionate about public policy? We want to build something with you…

At EY, you will have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we are counting on your unique voice and perspective to help EY become even better too. Join us and build an exceptional experience for yourself, and a better working world for all.

Job Title: Data Scientist
Function: EY Insights
Job Rank:Supervising associate
Sub Function: Research Institute
Reports to: Advanced Insights Lead

Job Summary:

The Data Scientist will conduct research to help EY shape the global dialogue on topics we study and solve the toughest issues facing our clients, business, and society.

As part of the EY Research Institute, the Data Scientist will part of a team using quantitative and qualitative methods to test hypotheses, build models, and identify emerging trends related to a range of strategically important business topics. Research insights will provide content for client conversations and EY’s tier 1 thought leadership – a set of high impact publications on EY.com read by a global business audience. Past research topics include enterprise transformation, corporate strategy, geopolitics, sustainability, technology, and consumer trust. All work will be done under the guidance of the Advanced Insights Lead and in collaboration with a team of EY business leaders, subject matter experts, and content developers.

The Data Scientist will be responsible for structuring the research question, determining the best analytical approach, conducting analyses, identifying business-relevant insights, and creating a compelling story to be communicated to external or executive audiences. This person will have expertise in data science, with a strong focus on techniques related to text analytics, clustering, time series analysis, multivariate regression, basic predictive modelling, and significance testing. Candidates should also have a theoretical understanding of the statistics/ mathematics relevant to these techniques and experience with relevant data science tools and packages in either Python or R.

This role requires strong analytical skills and an ability to understand the business rationale and implications of research projects. Collaboration and communication are crucial as all projects are executed by global teams and the EY Research Institute plays a key role in sharing information and best practices across EY.

Essential functions of the job:

Publish data insights internally. Work with data engineers to deliver self-serve dashboards of your analyses to disseminate them across EY and enable customization for client conversations. Adapt your analyses and/or provide technical guidance for use by specific EY teams.

Collaborate with subject matter experts and colleagues. As part of the EY Research Institute, engage with internal and external experts on topics we study to iterate assumptions/ analyses to ensure correctness and market impact.

Knowledge and Skills Requirements:

• Bachelor’s degree in a STEM field is required.
• Expertise in data science with 5+ years of experience executing research projects or client work in an academic or business setting.

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people, and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform, and operate.

Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

About the role

A Data Scientist in Flipkart is required to develop and implement a mix of ML, statistical and optimization models for the various projects formulated from business and product views. The responsible person should be able to communicate and collaborate with multiple stakeholders representing various teams to better understand the problem at hand. At a fundamental level, the responsible person should be able to dive deep into a problem statement and extract interesting insights as well as solutions. In addition to being a quick learner, a DS is expected to get involved in active research projects with a view to publish them.

What you’ll do

• Understand Business and product needs and use ML, statistical and optimization techniques as appropriate to provide solutions to those in a time bound fashion.

• Communicate and collaborate with business and product teams to have a better understanding of the project so as to be able to drive it within the DS team.

• Get involved in in-depth exploration of solutions that are to be shared with business and product teams; specifically, build models and scalable custom algorithms for problems including decision optimization and predictive modeling.

• Active participation in working with new methods and learning new technologies, in areas including data science and data engineering.

What you’ll need:

• B.Tech, M.Tech or PhD in CS, Operations Research or related discipline with professional experience ranging from 3 to 6 years through deployed solutions/projects. Candidate should have taken academic coursework in Operations Research (specifically mathematical optimization)

• Demonstrated experience in building discrete, linear, nonlinear or stochastic optimization models is required. Experience with optimization models for supply chain optimization is preferred but not required

• Demonstrated experience in utilizing and tuning commercial optimization solvers (e.g. CPLEX, Gurobi) and in building custom optimization algorithms (e.g. exact algorithms, metaheuristics, large neighborhood search, decomposition algorithms, greedy/randomized search) for industry-scale problems is required.

• Good grasp on the theory and practise of basic statistical models such as regression or clustering and general ML algorithms such as tree, Random Forests, SVM, Boosting, Neural Networks etc. It is not expected that the candidate has actually worked on all these modules.

• Strong proficiency in Python or R is necessary.

We are looking for aspirational Data Scientists to solve really complex problems using machine learning and neural nets. If this is you, we’d love to meet you and bring you onboard!

A heads-up on what this role entails:

You will be involved in the complete lifecycle of using machine learning to solve real business problemsincluding data understanding, feature engineering, model selection, model training, model optimization and deployment.

Experience:

• We expect you to have 2+ years of experience in Data Science and machine learning

• Hand on real world experience in building & deploying models

• Experience working with tensorflow, pyTorch to building LSTM, RNN, GRU models for text, numerical and time series data

• Experience working with real world problems and data is required

• To be a successful Data Scientist, your skills in math, probability, statistics and building/using algorithms need to be very good!

• To be able to express yourself as a Data Scientist, you need to have the ability to to write robust code in Python

• Have a bachelor’s degree in computer science, Mathematics or a similar field would be great. A Masters preferred!

Who you are:

• We are already liking you if you have the skills listed above. Now to push it over the top, we expect you to have Excellent communication skills; Afterall, you will have to communicate your ideas and your vision with the rest of the team and the management.

• We mentioned the team, so being a good team player is important for us.

This is a remote position.