Project Manager
Apply NowCompany: EXL Service
Location: New York, NY 10025
Description:
Company Overview and Culture
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 55,000 employees spanning six continents. For more information, visit http://www.exlservice.com.
Company: ExlService.com, LLC
Location: 320 Park Avenue, 29th Floor, New York, NY 10022
Position Title: Project Manager
Job Description:
The Project Manager at EXLService.com, LLC in New York, NY, will apply statistical methods and machine learning algorithms to extract insights, forecast trends and inform strategic decisions in analytics projects. Lead the development and implementation of latest machine learning models to address complex business challenges, enhance operational efficiency and unlock new opportunities for innovation. Ensure models are scalable, reliable and integrated seamlessly into business processes. Identify and evaluate new technologies, tools, methodologies to enhance organization's analytics capabilities. Drive the adoption of innovative solutions that improve data processing, analysis, visualization, to keep the organization at the forefront of data science advancements. Facilitate cross functional collaboration to ensure data insights and analytics solutions are effectively integrated into organizational strategies and processes. Work on research initiatives to explore emerging technologies and best practices in data science, machine learning and Artificial Intelligence. Monitor and evaluate the performance of data-driven models and analytics solutions. Implement refinements and optimizations to improve accuracy, efficiency and business impact, to ensure organization's data assets are leveraged to their fullest potential. Work closely with IT and engineering teams to plan and enhance the data infrastructure and architecture. Mentor junior data scientists. Influence organizational strategy and direction through the presentation of compelling data narratives and evidence based conclusions. Position may work at various and unanticipated worksites throughout the United States. Telecommuting permitted.
Job Requirements:
Requires Master's degree, or foreign equivalent, in Statistics, economics, mathematics, analytics or a related field plus three (3) years of experience in the job offered in Statistician or a related occupation. Requires three (3) years of experience in the following: (1) SQL (2) cloud platforms, including AWS, GCP or Azure (3) Deep learning, Natural Language Processing, and machine learning techniques, including Linear Regression, Decision Trees, XGBoost, RandomForest, and LightGBM (4) Implementing statistical models, machine learning algorithms and analysis using Python, Pyspark, R programming, and SAS (5) Building machine learning models through all phases of development, including design, training, evaluation, validation and deployment (6) Working with data visualization tools including Tableau and Quicksight; (7) Data Modeling, Warehousing, and building ETL pipelines; and (8) exploratory data analysis, including data cleaning and exploration. Employer will also accept a Bachelor's degree plus five (5) years of experience in the job offered in statistics, economics, mathematics, analytics or a related field in lieu of a Master's degree plus three (3) year of experience in the job offered Statistician or a related occupation. Any suitable combination of education, training, or experience is acceptable. Travel and work at client sites as assigned.
40 hours/week, 9:00am-5:00pm, Salary range: $171,000 to $175,000/year.
To apply : Send resume and cover letter to us.careers@exlservice.com. Must cite job title and EXL09 in response. This notice is subject to ExlService.com, LLC's employee referral program. EEO/Minorities/Females/Vets/Disabilities.
EEO/Minorities/Females/Vets/Disabilities
To view our total rewards offered click here -> https://www.exlservice.com/us-careers-and-benefits
Base Salary Range Disclaimer: The base salary range represents the low and high end of the EXL base salary range for this position. Actual salaries will vary depending on factors including but not limited to: location and experience. The base salary range listed is just one component of EXL's total compensation package for employees. Other rewards may include bonuses, as well as a Paid Time Off policy, and many region specific benefits.
Please also note that the data shared through the job application will be stored and processed by EXL in accordance with the EXL Privacy Policy.
Application & Interview Impersonation Warning - Purposely impersonating another individual when applying and / or participating in an interview in order to obtain employment with EXL Service Holdings, Inc. (the "Company") for yourself or for the other individual is a crime. We have implemented measures to deter and to uncover such unlawful conduct. If the Company identifies such fraudulent conduct, it will result in, as applicable, the application being rejected, an offer (if made) being rescinded, or termination of employment as well as possible legal action against the impersonator(s).
EXL may use artificial intelligence to create insights on how your candidate information matches the requirements of the job for which you applied. While AI may be used in the recruiting process, all final decisions in the recruiting and hiring process will be taken by the recruiting and hiring teams after considering a candidate's full profile. As a candidate, you can choose to opt out of this artificial intelligence screening process. Your decision to opt out will not negatively impact your opportunity for employment with EXL.
Other details
Apply Now
EXL (NASDAQ: EXLS) is a leading data analytics and digital operations and solutions company. We partner with clients using a data and AI-led approach to reinvent business models, drive better business outcomes and unlock growth with speed. EXL harnesses the power of data, analytics, AI, and deep industry knowledge to transform operations for the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 55,000 employees spanning six continents. For more information, visit http://www.exlservice.com.
Company: ExlService.com, LLC
Location: 320 Park Avenue, 29th Floor, New York, NY 10022
Position Title: Project Manager
Job Description:
The Project Manager at EXLService.com, LLC in New York, NY, will apply statistical methods and machine learning algorithms to extract insights, forecast trends and inform strategic decisions in analytics projects. Lead the development and implementation of latest machine learning models to address complex business challenges, enhance operational efficiency and unlock new opportunities for innovation. Ensure models are scalable, reliable and integrated seamlessly into business processes. Identify and evaluate new technologies, tools, methodologies to enhance organization's analytics capabilities. Drive the adoption of innovative solutions that improve data processing, analysis, visualization, to keep the organization at the forefront of data science advancements. Facilitate cross functional collaboration to ensure data insights and analytics solutions are effectively integrated into organizational strategies and processes. Work on research initiatives to explore emerging technologies and best practices in data science, machine learning and Artificial Intelligence. Monitor and evaluate the performance of data-driven models and analytics solutions. Implement refinements and optimizations to improve accuracy, efficiency and business impact, to ensure organization's data assets are leveraged to their fullest potential. Work closely with IT and engineering teams to plan and enhance the data infrastructure and architecture. Mentor junior data scientists. Influence organizational strategy and direction through the presentation of compelling data narratives and evidence based conclusions. Position may work at various and unanticipated worksites throughout the United States. Telecommuting permitted.
Job Requirements:
Requires Master's degree, or foreign equivalent, in Statistics, economics, mathematics, analytics or a related field plus three (3) years of experience in the job offered in Statistician or a related occupation. Requires three (3) years of experience in the following: (1) SQL (2) cloud platforms, including AWS, GCP or Azure (3) Deep learning, Natural Language Processing, and machine learning techniques, including Linear Regression, Decision Trees, XGBoost, RandomForest, and LightGBM (4) Implementing statistical models, machine learning algorithms and analysis using Python, Pyspark, R programming, and SAS (5) Building machine learning models through all phases of development, including design, training, evaluation, validation and deployment (6) Working with data visualization tools including Tableau and Quicksight; (7) Data Modeling, Warehousing, and building ETL pipelines; and (8) exploratory data analysis, including data cleaning and exploration. Employer will also accept a Bachelor's degree plus five (5) years of experience in the job offered in statistics, economics, mathematics, analytics or a related field in lieu of a Master's degree plus three (3) year of experience in the job offered Statistician or a related occupation. Any suitable combination of education, training, or experience is acceptable. Travel and work at client sites as assigned.
40 hours/week, 9:00am-5:00pm, Salary range: $171,000 to $175,000/year.
To apply : Send resume and cover letter to us.careers@exlservice.com. Must cite job title and EXL09 in response. This notice is subject to ExlService.com, LLC's employee referral program. EEO/Minorities/Females/Vets/Disabilities.
EEO/Minorities/Females/Vets/Disabilities
To view our total rewards offered click here -> https://www.exlservice.com/us-careers-and-benefits
Base Salary Range Disclaimer: The base salary range represents the low and high end of the EXL base salary range for this position. Actual salaries will vary depending on factors including but not limited to: location and experience. The base salary range listed is just one component of EXL's total compensation package for employees. Other rewards may include bonuses, as well as a Paid Time Off policy, and many region specific benefits.
Please also note that the data shared through the job application will be stored and processed by EXL in accordance with the EXL Privacy Policy.
Application & Interview Impersonation Warning - Purposely impersonating another individual when applying and / or participating in an interview in order to obtain employment with EXL Service Holdings, Inc. (the "Company") for yourself or for the other individual is a crime. We have implemented measures to deter and to uncover such unlawful conduct. If the Company identifies such fraudulent conduct, it will result in, as applicable, the application being rejected, an offer (if made) being rescinded, or termination of employment as well as possible legal action against the impersonator(s).
EXL may use artificial intelligence to create insights on how your candidate information matches the requirements of the job for which you applied. While AI may be used in the recruiting process, all final decisions in the recruiting and hiring process will be taken by the recruiting and hiring teams after considering a candidate's full profile. As a candidate, you can choose to opt out of this artificial intelligence screening process. Your decision to opt out will not negatively impact your opportunity for employment with EXL.
Other details
- Pay Type Salary
Apply Now