11+ Operations research Jobs in India

Looking for Immediate JoinersAt LatentView, we would expect you to:- Independently handle delivery of analytics assignments- Mentor a team of 3 - 10 people and deliver to exceed client expectations- Co-ordinate with onsite LatentView consultants to ensure high quality, on-time delivery- Take responsibility for technical skill-building within the organization (training, process definition, research of new tools and techniques etc.)You'll be a valuable addition to our team if you have:- 3 - 5 years of hands-on experience in delivering analytics solutions- Great analytical skills, detail-oriented approach- Strong experience in R, SAS, Python, SQL, SPSS, Statistica, MATLAB or such analytic tools would be preferable- Working knowledge in MS Excel, Power Point and data visualization tools like Tableau, etc- Ability to adapt and thrive in the fast-paced environment that young companies operate in- A background in Statistics / Econometrics / Applied Math / Operations Research / MBA, or alternatively an engineering degree from a premier institution.

Company Profile:

The company is World's No1 Global management consulting firm.

Job Qualifications
 Graduate or post graduate degree in statistics, economics, econometrics, computer science,
engineering, or mathematics
 2-5 years of relevant experience
 Adept in forecasting, regression analysis and segmentation work
 Understanding of modeling techniques, specifically logistic regression, linear regression, cluster
analysis, CHAID, etc.
 Statistical programming software experience in R & Python, comfortable working with large data
sets; SAS & SQL are also preferred
 Excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify
root causes and recommend solutions
 Excellent time management skills
 Good written and verbal communication skills; understanding of both written and spoken English
 Strong interpersonal skills
 Ability to act autonomously, bringing structure and organization to work
 Creative and action-oriented mindset
 Ability to interact in a fluid, demanding and unstructured environment where priorities evolve
constantly and methodologies are regularly challenged
 Ability to work under pressure and deliver on tight deadlines

- Excellent skill in SQL and SQL tools - Fantasy Gamer - Excited to dive deep into data and derive insights - Decent communication and writing skills - Interested in Automated solutions - Startup and Growth Mindset - Analytical Data mining thinking - Python - Good programmer

Big Data Engineer: 5+ yrs.
Immediate Joiner

 

• Expertise in building AWS Data Engineering pipelines with AWS Glue -> Athena -> Quick sight
• Experience in developing lambda functions with AWS Lambda
• Expertise with Spark/PySpark – Candidate should be hands on with PySpark code and should be able to do transformations with Spark
• Should be able to code in Python and Scala.
• Snowflake experience will be a plus
• We can start keeping Hadoop and Hive requirements as good to have or understanding of is enough rather than keeping it as a desirable requirement.

Job Description: Be responsible for scaling our analytics capability across all internal disciplines and guide our strategic direction in regards to analytics Organize and analyze large, diverse data sets across multiple platforms Identify key insights and leverage them to inform and influence product strategy Technical Interactions with vendor or partners in technical capacity for scope/ approach & deliverables. Develops proof of concept to prove or disprove validity of concept. Working with all parts of the business to identify analytical requirements and formalize an approach for reliable, relevant, accurate, efficientreporting on those requirements Designing and implementing advanced statistical testing for customized problem solving Deliver concise verbal and written explanations of analyses to senior management that elevate findings into strategic recommendations Desired Candidate Profile: MTech / BE / BTech / MSc in CS or Stats or Maths, Operation Research, Statistics, Econometrics or in any quantitative field Experience in using Python, R, SAS Experience in working with large data sets and big data systems (SQL, Hadoop, Hive, etc.) Keen aptitude for large-scale data analysis with a passion for identifying key insights from data Expert working knowledge in various machine learning algorithms such XGBoost, SVM Etc. We are looking candidates from the following: Experience in Unsecured Loans & SME Loans analytics (cards, installment loans) - risk based pricing analytics Experience in Differential pricing / selection analytics (retail, airlines / travel etc). Experience in Digital product companies or Digital eCommerce with Product mindset and experience Experience in Fraud / Risk from Banks, NBFC / Fintech / Credit Bureau Experience in Online media with knowledge of media, online ads & sales (agencies) - Knowledge of DMP, DFP, Adobe/Omniture tools, Cloud Experience in Consumer Durable Loans lending companies (Experience in Credit Cards, Personal Loan - optional) Experience in Tractor Loans lending companies (Experience in Farm) Experience in Recovery, Collections analytics Experience in Marketing Analytics with Digital Marketing, Market Mix modelling, Advertising Technology

The Director for Data Science will support building of AI products in Agile fashion that
empower healthcare payers, providers and members to quickly process medical data to
make informed decisions and reduce health care costs. You will be focusing on research,
development, strategy, operations, people management, and being a thought leader for
team members based out of India. You should have professional healthcare experience
using both structured and unstructured data to build applications. These applications
include but are not limited to machine learning, artificial intelligence, optical character
recognition, natural language processing, and integrating processes into the overall AI
pipeline to mine healthcare and medical information with high recall and other relevant
metrics. The results will be used dually for real-time operational processes with both
automated and human-based decision making as well as contribute to reducing
healthcare administrative costs. We work with all major cloud and big data vendors
offerings including (Azure, AWS, Google, IBM, etc.) to achieve our goals in healthcare and
support 
The Director, Data Science will have the opportunity to build a team, shape team culture
and operating norms as a result of the fast-paced nature of a new, high-growth
organization.

• Strong communication and presentation skills to convey progress to a diverse group of stakeholders
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real-time streaming applications, DevOps and product delivery
• Experience building stakeholder trust and confidence in deployed models especially via application of the algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• Provide mentoring to data scientists and machine learning engineers as well as career development
• Meet project related team members for individual specific needs on a regular basis related to project/product deliverables
• Provide training and guidance for team members when required
• Provide performance feedback when required by leadership

The Experience You’ll Need (Required):
• MS/M.Tech degree or PhD in Computer Science, Mathematics, Physics or related STEM fields
• Significant healthcare data experience including but not limited to usage of claims data
• Delivered multiple data science and machine learning projects over 8+ years with values exceeding $10 Million or more and has worked on platform members exceeding 10 million lives
• 9+ years of industry experience in data science, machine learning, and artificial intelligence
• Strong expertise in data science, data engineering, software engineering, cloud vendors, big data technologies, real time streaming applications, DevOps, and product delivery
• Knows how to solve and launch real artificial intelligence and data science related problems and products along with managing and coordinating the
business process change, IT / cloud operations, meeting production level code standards
• Ownerships of key workflows part of data science life cycle like data acquisition, data quality, and results
• Experience building stakeholder trust and confidence in deployed models especially via application of algorithmic bias, interpretable machine learning,
data integrity, data quality, reproducible research, and reliable engineering 24x7x365 product availability, scalability
• Expertise in healthcare privacy, federated learning, continuous integration and deployment, DevOps support
• 3+ Years of experience managing directly five (5) or more senior level data scientists, machine learning engineers with advanced degrees and directly
made staff decisions

• Very strong understanding of mathematical concepts including but not limited to linear algebra, advanced calculus, partial differential equations, and
statistics including Bayesian approaches at master’s degree level and above
• 6+ years of programming experience in C++ or Java or Scala and data science programming languages like Python and R including strong understanding of
concepts like data structures, algorithms, compression techniques, high performance computing, distributed computing, and various computer architecture
• Very strong understanding and experience with traditional data science approaches like sampling techniques, feature engineering, classification, and
regressions, SVM, trees, model evaluations with several projects over 3+ years
• Very strong understanding and experience in Natural Language Processing,
reasoning, and understanding, information retrieval, text mining, search, with
3+ years of hands on experience
• Experience with developing and deploying several products in production with
experience in two or more of the following languages (Python, C++, Java, Scala)
• Strong Unix/Linux background and experience with at least one of the
following cloud vendors like AWS, Azure, and Google
• Three plus (3+) years hands on experience with MapR \ Cloudera \ Databricks
Big Data platform with Spark, Hive, Kafka etc.
• Three plus (3+) years of experience with high-performance computing like
Dask, CUDA distributed GPU, TPU etc.
• Presented at major conferences and/or published materials

Title: Analyst - Business AnalyticsExperience: 1 - 4 YearsLocation: ChennaiOpen Positions: 17Job Description:Roles & Responsibilities:- Designing and implementing analytical projects that drive business goals and decisions leveraging structured and unstructured data.- Generating a compelling story from insights and trends in a complex data environment.- Working shoulder-to-shoulder with business partners to come up with creative approaches to solve the business problem.- Creating dashboards for business heads by exploring available data assets.Qualifications:- Overall 1+ Years of Business Analytics experience with strong communication skills.- Bachelor or Master degree in computer science is preferred.- Excellent problem solving and client orientation skills.Skills Required:- Ability to program in Advanced SQL is must.- Hands-on experience in Modeling tools such as R or Python- Experience in Visualization tools such as Power BI, Tableau, Looker, etc., would be a big plus.- Analytics certifications from recognized platforms would be a plus - Udemy, Coursera, EDX,etc.

RESPONSIBILITIES AND QUALIFICATIONS The mission of the Marcus Surveillance Analytics team is to deliver a platform which detects security incidents which have a tangible business impact and actionable response. You will work alongside industry leading technologists from who have recently joined Goldman from across consumer security, technology, fintech, finance and quant firms. The role has a broad scope which will involve interacting with senior leaders of Goldman and the Consumer business on a regular basis. The position is hands-on and requires a driven and “take ownership” oriented individual who is intently focused on execution. You will work directly with developers, business leaders, vendors and partners in order to deliver security assets to the consumer business. Develop a team, vision and platform which identifies/prioritizes actionable security & fraud risks which have tangible businesses impact across Goldman's consumer and commercial banking businesses. Develop response and recovery technology and programs to ensure resilience from fraud and abuse events. Manage, develop and operationalize analytics which discover security & fraud events and identifies risks for all of Goldman's consumer businesses. Partner with fraud / abuse operations and leadership to ensure consumer fraud rates are within industry norms and own outcomes related to fraud improvements. Skills And Experience We Are Looking For BA/BS degree in Computer Science, Cybersecurity, or other relevant Computer/Data/Engineering degrees 2+ years of experience as a security professional or data analyst/scientist/engineer Python, PySpark, R, Bash, SQL, Splunk (search, ES, UBA) Experience with cloud infrastructure/big data tool sets Visualization tools such as Tableau or D3 Research and development to create innovative predictive detections for security and fraud Build a 24/7 real-time monitoring system with long term vision for scaling to new lines of consumer businesses Strong focus on customer experience and product usability Ability to work closely with the business, fraud, and security incident response teams on creating actionable detections