Essential Duties and Functions <ul> <li>Analyze data: assessing quality, profiling, cleansing, exploratory data analysis and the transformation of large and complex datasets to be utilized for developing the statistical models. </li><li>Understand business use case requirements and develop appropriate machine learning algorithms to provide solutions to the business problems. </li><li>Design and develop different statistical modeling techniques such as regression, classification models, anomaly detection models, clustering models, deep learning models and feature reduction etc. to derive actionable insights. </li><li>Build, test, validate models through various relevant methodologies, error metrics and calibration techniques. </li><li>Develop and maintain data visualizations to communicate insights and recommendations to stakeholders. </li><li>Work with cloud analytic platforms on AWS/ Azure using PySpark, Sagemaker, Snowflake, Azure Synapse Analytics, etc. </li><li>Perform multiple tasks and deal with changing deadline requirements. This includes knowing when to escalate issues. Maintain a focused, flexible, organized, proactive and positive behavior and approach. </li><li>Proactively provide recommendations to the business based on the insights derived from data science modeling techniques to resolve business problems. </li><li>Communicate data science models' complex results and the insights to the non-technical audiences. </li><li>Interact with cross-functional technical teams and multiple business stakeholders to support integration of data science solutions into the business processes. </li><li>Developed and implemented Gen AI use cases </li></ul> Experience, Qualifications, Knowledge, and Skills <ul> <li>Master's or PhD degree in Computer Science, Statistics, Mathematics, or a related field preferred. </li><li>3+ years of experience in data science, machine learning, or a related field. </li><li>Proficiency in programming languages such as Python, R, or Java. </li><li>Experience with statistical analysis and modeling. </li><li>Experience with data visualization tools such as Tableau or Power BI. </li><li>Experience with database technologies such as SQL, NoSQL, or MongoDB. </li><li>Strong problem-solving skills and the ability to analyze complex data sets. </li><li>Excellent communication skills and the ability to present technical concepts to non-technical stakeholders. </li><li>Gen AI experience is a must </li></ul> Location and Workplace Flexibility: We have offices in Atlanta GA, Boston MA, Morristown NJ, Plano TX, St. Louis MO, St. Petersburg FL, and Hyderabad, India. We foster a hybrid and remote friendly culture and all of our employee's work locations are based on the needs of the position and determined by the Leadership team. In-office work and activities, if applicable, vary based on the work and team objectives in accordance with Company policies. Zelis is modernizing the healthcare financial experience by providing a connected platform that bridges the gaps and aligns interests across payers, providers, and healthcare consumers. This platform serves more than 750 payers, including the top 5 national health plans, BCBS insurers, regional health plans, TPAs and self-insured employers, and millions of healthcare providers and consumers. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts - driving real, measurable results for clients. Commitment to Diversity, Equity,Inclusion, and Belonging At Zelis, we champion diversity, equity, inclusion, and belonging in all aspects of our operations. We embrace the power of diversity and create an environment where people can bring their authentic and best selves to work. We know that a sense of belonging is key not only to your success at Zelis, but also to your ability to bring your best each day. Equal Employment Opportunity Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We encourage members of traditionally underrepresented communities to apply, even if you do not believe you 100% fit the qualifications of the position, including women, LGBTQIA people, people of color, and people with disabilities. Accessibility Support We are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation with any part of the application and/or interview process, please email TalentAcquisition@zelis.com. SCAM ALERT: There is an active nationwide employment scam which is now using Zelis to garner personal information or financial scams. This site is secure, and any applications made here are with our legitimate partner. If you're contacted by a Zelis Recruiter, please ensure whomever is contacting you truly represents Zelis Healthcare. We will never asked for the exchange of any money or credit card details during the recruitment process. Please be aware of any suspicious email activity from people who could be pretending to be recruiters or senior professionals at Zelis.

Key Skills - Gen AI/LLM, Data Science, SQL, Python, PyTorch, PySpark, GCP, SQL, Git, Deep Learning, Machine Learning We are seeking a skilled Data Scientist to join our dynamic team. The ideal candidate will leverage their expertise in Artificial Intelligence, Machine Learning, and Deep Learning to drive insights and innovation from customer and marketing data. You will work extensively with Python, PySpark, and PyTorch, utilizing Google Cloud Platform (GCP) for scalable data solutions. Proficiency in data modeling and version control with Git is essential. Key Responsibilities: <ul> <li> Develop and implement AI, Machine Learning, and Deep Learning models.</li> <li> Analyze and interpret complex datasets, focusing on customer and marketing data.</li> <li> Design and build data models to support business objectives.</li> <li> Collaborate with cross-functional teams to deploy models using Python, PySpark, and PyTorch.</li> <li> Utilize GCP for cloud-based data processing and storage.</li> <li> Maintain code and collaborate on projects using Git.</li> </ul> Requirements: <ul> <li> Proven experience in AI, Machine Learning, and Deep Learning.</li> <li> Strong proficiency in Python, PySpark, and PyTorch.</li> <li> Experience with GCP and data modeling.</li> <li> Familiarity with Git for version control.</li> <li> Ability to analyze customer and marketing data effectively.</li> </ul> Notes:- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits: Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law. The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.

Data Scientist

NJ location only Bedminster, NJ

Hybrid: 2 days weekly in office on Wednesdays and Thursdays

We are looking for a Data Scientist to join our network data analytics experts' team to add value to our current data processes. The ideal candidate will demonstrate independent working skills as well as proficiency in collaboration to ensure our functions which include data collection, cleaning, and preprocessing to build and implement machine learning and/or artificial/alternative intelligence algorithms to assist the Network Repair Bureau with its needs of proactively solutioning customer's issues, helping both to identify those issues as well as solve them.

Responsibilities

Work with partner teams to identify relevant data and better understand the Network Repair Bureau and Verizon Wireless customer and network insights.

Act as an idea leader within the business team to drive insight-based decision-making and growth of data science methodology.

Identify, design, and implement internal process improvement, automate manual processes, optimize data delivery, re-designing infrastructure for greater scalability, etc.

Build the infrastructure required for optimal extraction, transformation, and loading of data from various sources using SQL and Spark 'big data' technologies and leveraging the Google Cloud Platform.

Perform ad-hoc analysis and develop reproducible processes to meet business requirements.

Verifying data quality and/or ensuring it via data cleaning.

Exploring data to ensure a correct understanding of the information contained, working with Subject Matter Experts to confirm and/or enrich the understanding, then identifying differences in data distribution that could affect performance when deploying the model in the real world.

Understanding business objectives, developing models that help achieve them and creating and tracking metrics to reflect their development.

Managing available resources such as hardware, data, and personnel to meet deadlines.

Designing, developing, and researching Machine Learning systems, models, and schemes.

Studying, transforming, and converting data science prototypes into fully scalable models.

Performing statistical analysis and using results to improve models.

Training and retraining ML systems and models to accurately and quickly reflect the network in real-time.

Analyzing the use cases driving the need for machine learning algorithms and ranking them by their success probability to identify which models are 'best fit.'

Understanding when your findings can be applied to business decisions and be prepared to make a case and defend the model's applicability to those business use cases.

Enriching current processes with machine learning and/or artificial/alternative intelligence models and prepared to explain the models to those less informed about Data Science practices.

Additional Responsibilities:
• Support the various AI/ML models that need to be deployed to production
• Troubleshoot various activities and rectify any problems that arise in the end-to-end model pipeline
• Test and validate AI Models. Deploy and manage models throughout the end-to-end lifecycle.
• Industrialize the model pipeline which includes Testing & validation of the model pipeline
• Be part of the requirements for new enhancements in model/solution
• Propose new ideas/solutions that can be helpful for the project overall
• Analyze and understand problems and issues to convert these insights into system requirements
• Build scalable and high-performance Machine Learning and Data Mining algorithms

Skills:

Proficiency with a deep learning framework such as TensorFlow or Keras

Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas

Knowledge of data warehouse and data lake technologies (Teradata, Hadoop, No SQL, graph DB, GCP, etc.)

Expertise in visualizing and manipulating big datasets

Familiarity with Linux, Spark, and Kafka

Understanding how to present and share data with management, including using Microsoft Powerpoint and/or Google Slides.

Experience developing and delivering end-to-end data insights, including data ETL, partnership with relevant Subject Matter Expert (SME) teams to ensure the validity of ETL process, derive insights, and share.

EDUCATION/CERTIFICATIONS:

Bachelor's degree in technical field and 5-7 years of Analysis experience

Key Skills - Gen AI/LLM, Data Science, SQL, Python, PyTorch, PySpark, GCP, SQL, Git, Deep Learning, Machine Learning We are seeking a skilled Data Scientist to join our dynamic team. The ideal candidate will leverage their expertise in Artificial Intelligence, Machine Learning, and Deep Learning to drive insights and innovation from customer and marketing data. You will work extensively with Python, PySpark, and PyTorch, utilizing Google Cloud Platform (GCP) for scalable data solutions. Proficiency in data modeling and version control with Git is essential. Key Responsibilities: Develop and implement AI, Machine Learning, and Deep Learning models. Analyze and interpret complex datasets, focusing on customer and marketing data. Design and build data models to support business objectives. Collaborate with cross-functional teams to deploy models using Python, PySpark, and PyTorch. Utilize GCP for cloud-based data processing and storage. Maintain code and collaborate on projects using Git. Requirements: Proven experience in AI, Machine Learning, and Deep Learning. Strong proficiency in Python, PySpark, and PyTorch. Experience with GCP and data modeling. Familiarity with Git for version control. Ability to analyze customer and marketing data effectively. Notes :- All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits : Danta offers a compensation package to all W2 employees that are competitive in the industry. It consists of competitive pay, the option to elect healthcare insurance (Dental, Medical, Vision), Major holidays and Paid sick leave as per state law. The rate/ Salary range is dependent on numerous factors including Qualification, Experience and Location.

Data Scientist NJ location only Bedminster, NJ Hybrid: 2 days weekly in office on Wednesdays and Thursdays We are looking for a Data Scientist to join our network data analytics experts' team to add value to our current data processes. The ideal candidate will demonstrate independent working skills as well as proficiency in collaboration to ensure our functions which include data collection, cleaning, and preprocessing to build and implement machine learning and/or artificial/alternative intelligence algorithms to assist the Network Repair Bureau with its needs of proactively solutioning customer's issues, helping both to identify those issues as well as solve them. Responsibilities Work with partner teams to identify relevant data and better understand the Network Repair Bureau and Verizon Wireless customer and network insights. Act as an idea leader within the business team to drive insight-based decision-making and growth of data science methodology. Identify, design, and implement internal process improvement, automate manual processes, optimize data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from various sources using SQL and Spark 'big data' technologies and leveraging the Google Cloud Platform. Perform ad-hoc analysis and develop reproducible processes to meet business requirements. Verifying data quality and/or ensuring it via data cleaning. Exploring data to ensure a correct understanding of the information contained, working with Subject Matter Experts to confirm and/or enrich the understanding, then identifying differences in data distribution that could affect performance when deploying the model in the real world. Understanding business objectives, developing models that help achieve them and creating and tracking metrics to reflect their development. Managing available resources such as hardware, data, and personnel to meet deadlines. Designing, developing, and researching Machine Learning systems, models, and schemes. Studying, transforming, and converting data science prototypes into fully scalable models. Performing statistical analysis and using results to improve models. Training and retraining ML systems and models to accurately and quickly reflect the network in real-time. Analyzing the use cases driving the need for machine learning algorithms and ranking them by their success probability to identify which models are 'best fit.' Understanding when your findings can be applied to business decisions and be prepared to make a case and defend the model's applicability to those business use cases. Enriching current processes with machine learning and/or artificial/alternative intelligence models and prepared to explain the models to those less informed about Data Science practices. Additional Responsibilities: Support the various AI/ML models that need to be deployed to production Troubleshoot various activities and rectify any problems that arise in the end-to-end model pipeline Test and validate AI Models. Deploy and manage models throughout the end-to-end lifecycle. Industrialize the model pipeline which includes Testing & validation of the model pipeline Be part of the requirements for new enhancements in model/solution Propose new ideas/solutions that can be helpful for the project overall Analyze and understand problems and issues to convert these insights into system requirements Build scalable and high-performance Machine Learning and Data Mining algorithms Skills: Proficiency with a deep learning framework such as TensorFlow or Keras Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas Knowledge of data warehouse and data lake technologies (Teradata, Hadoop, No SQL, graph DB, GCP, etc.) Expertise in visualizing and manipulating big datasets Familiarity with Linux, Spark, and Kafka Understanding how to present and share data with management, including using Microsoft Powerpoint and/or Google Slides. Experience developing and delivering end-to-end data insights, including data ETL, partnership with relevant Subject Matter Expert (SME) teams to ensure the validity of ETL process, derive insights, and share. EDUCATION/CERTIFICATIONS: Bachelor's degree in technical field and 5-7 years of Analysis experience

Job Overview As a Data Scientist at Procal, you will be responsible for analyzing large, complex datasets and identifying meaningful patterns that lead to actionable recommendations. You will be performing thorough testing and validation of models and support various aspects of the business with data analytics. Also, you will be involved in the latest AI & Data driven research including deep learning and generative AI in the telecom domain. This position will combine the typical Data Scientist math and analytical skills, with research, advanced business, communication, and presentation skills. Key Responsibilities Hand on experience with building analytical models.Leverage advanced statistical analysis and / or machine learning to shape product development.Experience with creating models using structured and unstructured data with experience with decision trees, CNN, DNN etc.Executing analytical experiments methodically to help solve various problems and improve productivity and business outcomes.Conducting data analytics and quantitative modeling for various data types to impact across different domains.Leading the end-to-end AIML tool design and development in productionBeing a subject matter expert on the enterprise data modelMaster machine learning algorithms including forecasting, clustering, classification, reinforcement learning, deep learning etc.Experience working with and creating data architectures. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applicationsData extraction/transformation/loading and statistical analysis experience is required.Experience with BigQuery, BigQuery ML, Domino in GCP is a plus.Experience running and deploying models in a variety of environments including Docker swarm or Kubernetes.Written and verbal communication skills for coordinating across teams.Experience with programming languages such as Python, Pyspark, Scala.Experience with Spark, Hadoop, MySQL, Hue, Druid, TeraData SQL, Kafka and Pulsar.Strong analytical capabilities, creativity and critical thinking required.Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, and recommendationsPartner with cross-functional teams to identify new opportunities requiring the use of modern analytical and modeling techniquesDesign and execute experiments (e.g., A/B testing, multi-armed bandit)Communicate insights and recommendations to business leads and influence strategic decision-makingKey Skill sets Experience in R and/or Python required.Experience in Big Data Analysis required.Generative AI and GPU solution optimization experience is a plus.Ability to do statistical modeling, build predictive models and leverage machine learning algorithms, build efficient ML pipeline is required.Telecom experience would be ideal

Data Scientist Jobs in Bedminster, NJ

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Data Scientist Jobs in Bedminster, NJ

Data ScientistDecember 5, 2024

Genaidata ScientistDecember 3, 2024

Data ScientistDecember 2, 2024

Genaidata ScientistDecember 2, 2024

Data ScientistDecember 1, 2024

Data ScientistNovember 24, 2024