SRP is a big data company located in Princeton, NJ focused on Dynamic Pricing, run by seasoned alumni from Stanford University and Wharton. Job Description Title: Senior Data Scientist for a Stanford Startup Location: Princeton, NJ Employment Type: Full Time Job Requirements: A minimum of three years of experience working as a data scientist. Experience in working with large data sets. Strong experience in machine learning. Highly conversant with Bayesian type algorithms, KNN, Neural Networks, SVM, etc. Experienced in applying data science techniques across multiple industries. Data cleanup and data massaging experience. Hands-on experience with R or Python. Experience in Kaggle competitions is a plus. Additional Information All your information will be kept confidential according to EEO guidelines. J-18808-Ljbffr

About Kyowa Kirin Kyowa Kirin is a global specialty pharmaceutical company that applies state-of-the-art biotechnologies to discover and deliver novel medicines in four areas of unmet need: Oncology Nephrology Immunology CNS/Movement Disorders The North American organization includes two offices (in New Jersey and California) that focus on drug discovery, product development, and commercialization. Together, we work as a close-knit team to understand clinical needs and advance innovations that can profoundly impact patient lives. J-18808-Ljbffr

About the Role: Grade Level (for internal use): 09 The Role: Data Scientist- NLP, LLM and GenAI S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on entry-level ML scientists and NLP/Gen AI/LLM scientists to grow into the next step in their career journey and apply their technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas. Responsibilities: ML, Gen AI, NLP, LLM Model Development: Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines. Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements. Work closely with other members of data science, MlOps, technology teams in the design, development, and implementation of the ML model solutions. ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability during development, UAT. Implement model optimizations to improve system efficiency. NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability. Internal Collaboration: Collaborate closely with product teams, business stakeholders, Mlops, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems. Documentation: Write and maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing. Develop Models Based on Standards and Best Practices: Ensure that the models are designed and developed while adhering to specified standards, governance and best practices in ML model development as specified by senior Data Science and MLOps leads. Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions. What We're Looking For: Bachelor's / Master's in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions. Demonstrated hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools. Expert in python programming. Hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. Knowledge of information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. Knowledge of developing or tuning Large Language Models (LLM) and Generative AI (GAI). Knowledge of NLP, LLMs (extractive and generative), fine-tuning and LLM model development. Familiar with higher level trends in LLMs and open-source platforms. Nice to have: Experience with contributing to Github and open source initiatives or in research projects and/or participation in Kaggle competitions. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $85,000 - $150,000. Base salary ranges may vary by geographic location. This role is eligible to receive S&P Global benefits. For more information on the benefits we provide to our employees, visit S&P Benefits Essentials . About S&P Global Ratings: At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. What's In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology - the right combination can unlock possibility and change the world. Our People: We're more than 35,000 strong worldwide - so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. Our Values: Integrity, Discovery, Partnership Benefits: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards - small perks can make a big difference. For more information on benefits by country visit: S&P Global Careers . Diversity, Equity, and Inclusion at S&P Global: At S&P Global, we believe diversity fuels creative insights, equity unlocks opportunity, and inclusion drives growth and innovation - Powering Global Markets. Equal Opportunity Employer: S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. J-18808-Ljbffr

About the Role: Grade Level (for internal use): 10 The Role: Sr Data Scientist- NLP, LLM and GenAI S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas. Responsibilities: ML, Gen AI, NLP, LLM Model Development: Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines. Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements. Work closely with other members of data science, MlOps, technology teams in the design, development, and implementation of the ML model solutions. ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency. NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability. Internal Collaboration: Collaborate closely with product teams, business stakeholders, Mlops, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems. Documentation: Write and Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing. Develop Models Based on Standards and Best Practices: Ensure that the models are designed and developed while adhering to specified standards, governance and best practices in ML model development as specified by senior Data Science and MLOps leads. Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions. What We're Looking For: Bachelor's / Master's in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. 1 years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions. Demonstrated 1 years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools. Expert in python programming. 1 years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. 1 years of experience with implementing information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. Knowledge of developing or tuning Large Language Models (LLM) and Generative AI (GAI) Knowledge of NLP, LLMs (extractive and generative), fine-tuning and LLM model development. Familiar with higher level trends in LLMs and open-source platforms. Nice to have: Experience with contributing to Github and open source initiatives or in research projects and/or participation in Kaggle competitions. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $100,200 - $185,000. Base salary ranges may vary by geographic location. This role is eligible to receive S&P Global benefits. For more information on the benefits we provide to our employees, visit https://www.spgbenefitessentials.com/newhires . About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. For more information, visit www.spglobal.com/ratings . What's In It For You? Our Purpose: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: https://www.spglobal.com/en/careers/our-culture/ . Diversity, Equity, and Inclusion at S&P Global: At S&P Global, we believe diversity fuels creative insights, equity unlocks opportunity, and inclusion drives growth and innovation - Powering Global Markets. Our commitment centers on our global workforce, ensuring that our people are empowered to bring their whole selves to work. It doesn't stop there, we strive to better reflect and serve the communities in which we live and work, and advocate for greater opportunity for all. S&P Global has a Securities Disclosure and Trading Policy ("the Policy") that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy's requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliancespglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning) Job ID: 298801 Posted On: 2024-03-22 Location: New York, New York, United States J-18808-Ljbffr

About the Role: Grade Level (for internal use): 11 The Role: Lead Data Scientist- NLP, LLM and GenAI S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas. Responsibilities: ML, Gen AI, NLP, LLM Model Development: Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines. Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements. Work closely with other members of data science, MlOps, technology teams in the design, development, and implementation of the ML model solutions. ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency. NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability. Internal Collaboration: Collaborate closely with product teams, business stakeholders, Mlops, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems. Documentation: Write and maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing. Develop Models Based on Standards and Best Practices: Ensure that the models are designed and developed while adhering to specified standards, governance and best practices in ML model development as specified by senior Data Science and MLOps leads. Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions. What We're Looking For: Bachelor's / Master's in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. 2 years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions. Demonstrated 2 years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools. Expert in python programming. 2 years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures. 2 years of experience with implementing information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings. Knowledge of and measurable hands-on experience with developing or tuning Large Language Models (LLM) and Generative AI (GAI). Experienced with NLP, LLMs (extractive and generative), fine-tuning and LLM model development. Familiar with higher level trends in LLMs and open-source platforms. Nice to have: Experience with contributing to Github and open source initiatives or in research projects and/or participation in Kaggle competitions. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $100,200 - $215,000. Base salary ranges may vary by geographic location. This role is eligible to receive S&P Global benefits. About S&P Global Ratings: At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today. Equal Opportunity Employer: S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. J-18808-Ljbffr

Responsibilities: Work alongside statisticians and data management to perform in-depth exploration of raw data collected from various sources, such as clinical trials, real-world, and public domain data. Guide evidence-based product development by extracting therapeutic intelligence from such data sources. Use strong programming skills for data analysis involving cleaning and transforming raw data, creating insightful visualizations, designing new attributes, studying data quality, correlations and distributions, and quantifying results. Implement advanced machine learning techniques (classification, regression, clustering) to train predictive models, identify patterns and trends, tune model performance, and handle overfitting. Perform post-prediction analysis by evaluating training model's performance, interpret model decisions and insights, and use model predictions to influence future decisions such as clinical trial design. Communicate analytical results and findings to cross-functional teams. Support software development projects at various levels, review/plan clinical studies across multiple CNS programs, and conducting analyses related to time series modeling, supervised and unsupervised learning techniques, Bayesian methodologies, and others. Identify and communicate novel analytical and data strategies to support clinical programs. Work closely with stakeholders interfacing with clinical data to identify, enhance, and support the quantitative and technological needs for all Otsuka projects. Provide statistical and modeling support for planning and implementing clinical studies/programs to meet the needs of patients, regulatory agencies, and clinicians. Develop innovative computational methods when existing tools are not the most appropriate fit. Provide solutions of clinical utility by leveraging internal and external data sources. Guide evidence-based product development (digital/non-digital) by extracting therapeutic intelligence from such data sources. Minimum Requirements : Master's degree in Computer Science, Electrical Engineering, Statistics, Mathematics or a related quantitative field. Three (3) years of experience with Python packages and R packages for data mining, statistical analysis, and predictive modeling. Three (3) years of experience in healthcare domain, patient health data, predictive analytics on patient data. Three (3) years of experience using a data query language such as SQL. One (1) year of experience with clinical trials in areas of Central Nervous System & Nephrology, including working with essential regulatory documents, clinical trial protocols, amendments, eCRFs, investigators brochure, clinical trial development process, study design, and data capture. One (1) year of experience in data analysis and exploration of clinical trial data, including phase 1-4 clinical trials, ADaM (Analysis Data Model) datasets, SAS datasets, SDTM (Study Data Tabulation Model) and various SDTM domains. One (1) year of experience in end-to-end predictive modeling in pharmaceutical domain, including applying artificial intelligence to predict patient outcomes and improve clinical trial designs. One (1) year of experience with Real World Data (RWD) and insurance claims data. One (1) year of experience working with SAS. One (1) year of experience building dashboards focused on the pharmaceutical domain. Apply to: Carole.McDonald-CWotsuka-us.com . Otsuka Pharmaceutical Development & Commercialization, Inc. Competencies Accountability for Results - Stay focused on key strategic objectives, be accountable for high standards of performance, and take an active role in leading change. Strategic Thinking & Problem Solving - Make decisions considering the long-term impact to customers, patients, employees, and the business. Patient & Customer Centricity - Maintain an ongoing focus on the needs of our customers and/or key stakeholders. Impactful Communication - Communicate with logic, clarity, and respect. Influence at all levels to achieve the best results for Otsuka. Respectful Collaboration - Seek and value others' perspectives and strive for diverse partnerships to enhance work toward common goals. Empowered Development - Play an active role in professional development as a business imperative. Come discover more about Otsuka and our benefit offerings; https://www.otsuka-us.com/careers-join-otsuka . Disclaimer: This job description is intended to describe the general nature and level of the work being performed by the people assigned to this position. It is not intended to include every job duty and responsibility specific to the position. Otsuka reserves the right to amend and change responsibilities to meet business and organizational needs as necessary. Otsuka is an equal opportunity employer . All qualified applicants are encouraged to apply and will be given consideration for employment without regard to race, color, sex, gender identity or gender expression, sexual orientation, age, disability, religion, national origin, veteran status, marital status, or any other legally protected characteristic . If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation, if you are unable or limited in your ability to apply to this job opening as a result of your disability . You can request reasonable accommodations by contacting Accommodation Request . Statement Regarding Job Recruiting Fraud Scams At Otsuka we take security and protection of your personal information very seriously. Please be aware individuals may approach you and falsely present themselves as our employees or representatives. They may use this false pretense to try to gain access to your personal information or acquire money from you by offering fictitious employment opportunities purportedly on our behalf. Please understand, Otsuka will never ask for financial information of any kind or for payment of money during the job application process. We do not require any financial, credit card or bank account information and/or any payment of any kind to be considered for employment. We will also not offer you money to buy equipment, software, or for any other purpose during the job application process. If you are being asked to pay or offered money for equipment fees or some other application processing fee, even if claimed you will be reimbursed, this is not Otsuka. These claims are fraudulent and you are strongly advised to exercise caution when you receive such an offer of employment. Otsuka will also never ask you to download a third-party application in order to communicate about a legitimate job opportunity. Scammers may also send offers or claims from a fake email address or from Yahoo, Gmail, Hotmail, etc, and not from an official Otsuka email address. Please take extra caution while examining such an email address, as the scammers may misspell an official Otsuka email address and use a slightly modified version duplicating letters. To ensure that you are communicating about a legitimate job opportunity at Otsuka, please only deal directly with Otsuka through its official Otsuka Career website https://vhr-otsuka.wd1.myworkdayjobs.com/en-US/External . Otsuka will not be held liable or responsible for any claims, losses, damages or expenses resulting from job recruiting scams. If you suspect a position is fraudulent, please contact Otsuka's call center at: 800-363-5670. If you believe you are the victim of fraud resulting from a job recruiting scam, please contact the FBI through the Internet Crime Complaint Center at: https://www.ic3.gov , or your local authorities. Otsuka America Pharmaceutical Inc., Otsuka Pharmaceutical Development & Commercialization, Inc., a nd Otsuka Precision Health, Inc. (Otsuka") does not accept unsolicited assistance from search firms for employment opportunities. All CVs/resumes submitted by search firms to any Otsuka employee directly or through Otsuka's application portal without a valid written search agreement in place for the position will be considered Otsuka's sole property. No fee will be paid if a candidate is hired by Otsuka as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Data Scientist Remote: 100% In Bid / Vacant: Vacant Work Authorization: US Citizenship is required. Type: Full Time Skill Level: 3 years to SME Salary Range: Commencing with experience Benefits: The standard compensation package consists of a competitive salary, 100% company-paid health/dental/vision care benefits, 100% company-paid LTD/STD/Life Insurance benefits, a 401(k) with company match, and a generous holiday/vacation/sick leave policy. Introduction: Our client needs a Data Scientist to apply and enhance their skills in developing, running, and analyzing results of complex queries against massive-scale data stores. Role Description: Manipulating high-volume structured and unstructured data to perform analysis and generate reporting/products. Using analytic techniques and tools and All-Source data analysis to provide technical targeting analytic support to the Sponsor Agency. Performing large-scale parallel processing of data and developing, validating, and using methodologies to support analytic requirements in Clustered Computing environments. Required Skills & Experience: Bachelor's Degree or experience or instead of a degree and 2 years of Intelligence Analysis experience in the intelligence community Experience using analytic techniques and tools performing technical targeting analytic support for the Sponsor Agency. Experience using any computer languages (e.g., Python, R, Pig, Java, C, SQL, ECL) to perform large-scale parallel data processing. Ability to think outside the box and seek guidance/mentorship from peers. Optional Desired Skills & Experience: Educational or practical experience in a STEM (Science, Technology, Engineering or Mathematics) field. Note: No 3rd Party Vendors or 3rd Party Candidates

SYNERGISTICIT wants every Job seeker to be aware that the Job Market is Challenging and to stand out you need to have exceptional skills and technologies which make you stand out from other Job seekers. If your skills and your project work is similar to others then it's difficult to stand out to the clients. Since 2010 we have helped Jobseekers stand out by ensuring only the best candidates with the requisite skillset go to the clients and they get the attention which they need. We just don't focus on getting you a Job we make careers. Position open for all visas and US citizens We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few. We have an excellent reputation with the clients. Currently, We are looking for Junior Data Scientist. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates looking to make their careers in IT Industry We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1b and Green card filing to Candidates Candidates who are serious about their future in the IT Industry and have set big goals for themselves. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. We also offer Skill enhancement programs if the candidates are missing skills or experience which our clients need with great outcomes Candidates can benefit from skill enhancement if they fall into the below categories. If they are qualified with enough skills then no need for skill enhancement Candidates who Lack Experience Have had a break in careers Lack Technical Competency Different visa candidates who want to get employed and settle down in the USA please also check the below links https://www.synergisticit.com/candidate-outcomes/ https://www.youtube.com/watch?vOAFOhcGy9Z8 https://www.synergisticit.com/java-track/ https://www.synergisticit.com/data-science-track/ https://www.synergisticit.com/which-is-the-best-option-for-tech-job-seekers-staffing-companies-consulting-companies-bootcamps-or-synergisticit/ https://www.synergisticit.com/contact-us/ If not a match candidates can opt for Skill enhancement For getting help with interviews please visit https://www.synergisticit.com/interview-questions/ For data Science/Machine learning REQUIRED SKILLS Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT Project work on the technologies needed Highly motivated, self-learner, and technically inquisitive Experience in programming language Java and understanding of the software development life cycle Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools Excellent written and verbal communication skills Preferred skills: NLP, Text mining, Tableau, Time series analysis Please understand skills are required by clients for selection even if its Junior or entry level position the additional skills and Project work are the only way a candidate can be picked by clients. If not having the above candidates can opt for skill enhancement to gain the required skills and project work. No third-party candidates or c2c candidates Please apply to the posting. No phone calls please. Shortlisted candidates would be reached out.

Data Scientist Jobs in Princeton Junction, NJ

Senior Data Scientist
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December 12, 2024

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Data Scientist Remote
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Junior Data Scientist
November 30, 2024

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Data Scientist Jobs in Princeton Junction, NJ

Senior Data ScientistDecember 17, 2024

Data ScientistDecember 17, 2024

Data Scientist Nlp Llm And GenaiDecember 12, 2024

Sr Data Scientist Nlp Llm And GenaiDecember 12, 2024

Lead Data Scientist Nlp Llm And GenaiDecember 12, 2024

Clinical Data Scientist Princeton NjDecember 2, 2024

Data Scientist RemoteNovember 30, 2024

Junior Data ScientistNovember 30, 2024