Your Future Evolves Here Evolent partners with health plans and providers to achieve better outcomes for people with most complex and costly health conditions. Working across specialties and primary care, we seek to connect the pieces of fragmented health care system and ensure people get the same level of care and compassion we would want for our loved ones. Evolent employees enjoy work/life balance, the flexibility to suit their work to their lives, and autonomy they need to get things done. We believe that people do their best work when they're supported to live their best lives, and when they feel welcome to bring their whole selves to work. That's one reason why diversity and inclusion are core to our business. Join Evolent for the mission. Stay for the culture. What Youll Be Doing: We are seeking a dynamic Data Scientist to join our team at Evolent to shape the future of healthcare. This role is perfect for someone passionate about leveraging AI to make informed decisions, reduce healthcare costs, and improve efficiency. Collaboration Opportunities : This position will play a critical role in interacting with engineering and clinical teams, healthcare payer executives, managers, and frontline staff users, driving the vision for our product with customer. Collaborating with the Clinical team and across various functional lines, demonstrating the passion for leveraging AI to improve efficiency within the healthcare sector What You Will Be Doing: <ul><li>Construct advanced SQL queries to scrutinize healthcare data, track key product usage metrics, build feature sets,generate reports and perform complex analytics tasks to improve our product, and investigate business problems to identifynovel solutions. </li><li>Work on unstructured text data to build machine-learning models for information retrieval applications. Use state-of-the-art NLP and LLMsin a cluster-computing environment, to optimize and automate parts of the prior authorization process and the product development process. </li><li>Influence and contribute to Evolents core product by architecting key components for automating and simplifying the AI-creation process of turning raw data into smart decisions. This includes automation of data transformation, feature engineering, algorithm selection, and model optimization. </li><li>Collaborate with a team of Data Scientists, clinicians, and engineers to drive the development and maturation of our AI solutions </li><li>Establish processes for rapid impact, feedback, and iteration of solutions with Evolent's internal clinical staff and customers </li><li>Develop and deploy cutting-edge machine learning, NLP, and LLM models to solve the most pressing problems facing healthcare today, including document comprehension-related products to support reducing overall healthcare costs </li><li>Work closely with our product and innovation teams, as well as business stakeholders spread across various locations in the US and India. </li> </ul>Qualifications Required and Preferred: <ul><li>Bachelors or masters degree in computer science or related field. (Required) </li><li>2+ years advanced experience in SQL, including experience writing new and efficient SQL code and complex analytical queries. (Required) </li><li>1+ years of experience in building data science extractions and prompt engineering. (Required) </li><li>Experience with the use of a programming/scripting language (Python, and SQL.) for building data pipelines. (Required) </li><li>Passion for solving problems within healthcare that have tangible impacts on patient lives. </li><li>1+ years of experience with developing and deploying machine-learning systems.? ( Preferred ) </li><li>Experience with developing and deploying products in production with Python (Preferred) </li><li>Familiarity with high-performance computing and distributed computing like Spark, Dask, Hadoop, and CUDA distributed GPU. (Preferred) </li><li>Hands-on experience with deep learning architectures and frameworks like TensorFlow, PyTorch, and Keras. ( Preferred ) </li><li>Experience with NLP libraries and tools like Spacy, NLTK, Stanford Core NLP, Genism, and JohnSnow Labs. (Preferred) </li> </ul>Technical Requirements: We require that all employees have the following technical capability at their home: High speed internet over 10 Mbps and, specifically for all call center employees, the ability to plug in directly to the home internet router. These at-home technical requirements are subject to change with any scheduled re-opening of our office locations. Evolent is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status. If you need reasonable accommodation to access the information provided on this website, please contact recruiting@evolent.com for further assistance. The expected base salary/wage range for this position is $110,000 - $125,000. This position is also eligible for a bonus component that would be dependent on pre-defined performance factors. As part of our total compensation package, Evolent is proud to offer comprehensive benefits (including health insurance benefits) to qualifying employees. All compensation determinations are based on the skills and experience required for the position and commensurate with experience of selected individuals, which may vary above and below the stated amounts. Don't see the dream job you are looking for? Drop off your contact information and resume and we will reach out to you if we find the perfect fit! For more insights about Evolent Health, click on Life At Evolent (https://www.evolent.com/) to learn more!

_Job Seekers can review the Job Applicant Privacy Policy by clicking HERE. (https://ryder.com/job-applicant-privacy-policy)_ Summary The Data Scientist's role is to wrangle data into a usable form, moving the interpretation of the data from descriptive and diagnostic into building prescriptive and predictive algorithms to solve Ryder's toughest problems. A Data Scientist will drive Ryder towards the cutting edge of what comes next. Over time the Data Scientist will become an expert of algorithms and will learn the Art of Modeling. This position will work on cutting edge data technology by being a key user on Ryder's Azure Data Lake driving the analytics initiatives; exploiting the latest algorithm discoveries and enhancements to increase the accuracy and broaden the use-cases that we can solve for. On this team, a Data Scientist will get the chance to be the machine learning expert, collaborating with Data Engineers and Analysts, using their skills to exploit data to drive the business forward. The Scientists help push the envelope of what is possible in the big data space; streaming live data into a data lake and experimenting with data in the data sandbox. As discoveries are made, the Scientist helps facilitate the movement of the algorithms into a core solution to support the business. Essential Functions Build predictive and prescriptive modeling techniques exploiting mathematical modeling and traditional statistical approaches in addition to the latest algorithm technology in machine learning and artificial intelligence. Use cutting-edge AI techniques from Natural Language Processing (NLP), Computer Vision and Time Series Analysis to create innovative solutions that meet business needs. Extract and perform data transformations from the data ecosystem and custom sources for data modeling/analytics. Enhance data canonical maturity and integration for Ryders products by interacting with operations to standardize the core value add functionality enabling a multiplier effect. Additional Responsibilities Performs other duties as assigned. Skills and Abilities Experience to the development of predictive analytic solutions using data and predictive analytics platforms and languages like: R/Python SQL Databricks Snowflake Exposure using tools like: ETL tools (SSIS , ADF , Informatica etc.) Databases like SQL Server , Oracle etc. Visualizations tools like PowerBI , MicroStrategy etc. (preferred) Object oriented development stacks (.net) (preferred) Strong verbal and written communication skills, with an ability to express complex technical concepts in business terms Support product innovation, working closely with technology throughout the build, test, and release of the product using agile methodologies Qualifications Bachelor's degree required Computer Science, Data Analytics, Operational Research, Mathematics or equivalent Master's degree preferred Computer Science, Data Analytics, Operational Research, Mathematics, MBA or equivalent 0 to One (1) year Applied Project(s) experience: Experience in demonstrating advanced analytics in an educational/project or intern type environment. required One (1) year or more Experience in statistical, optimization and machine learning modeling development. Experience working in a cloud environment a plus. preferred Travel: DOT Regulated: None Applicants from California, Colorado, Hawaii, New Jersey, New York City, and Washington: Salary is determined based on internal equity; internal salary ranges; market data/ranges; applicants skills; prior relevant experience; certain degrees or certifications, etc. The salary for this position ranges from $60,000.00 to $80,000. Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax advantaged 401(k) retirement savings plan Job Category: Data Science & Analytics Compensation Information: The compensation offered to a candidate may be influenced by a variety of factors, including the candidates relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc. Compensation ranges for the position are below: Pay Type: Salaried Minimum Pay Range: Maximum Pay Range: The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/or type. Benefits Information: For all Full-time positions only: Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan. Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability. Security Notice for Applicants: Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire. During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application through www.ryder.com/careers . Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at careers@ryder.com or 800-793-3754. Current Employees: If you are a current employee at Ryder (not a Contractor or temporary employee through a staffing agency), please click here (http://wd5.myworkday.com/ryder/d/task/1422$3.htmld) to log in to Workday to apply using the internal application process. _Job Seekers can review the Job Applicant Privacy Policy by clicking HERE. (https://ryder.com/job-applicant-privacy-policy)_ #wd

Summary: As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product developments biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their products ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You wont simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. Required Skills: Data Scientist, Product Analytics Responsibilities: Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions. Minimum Qualifications: Minimum Qualifications: Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience. A minimum of 2 years of work experience in analytics (minimum of 1 years with a Ph.D.) Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. Preferred Qualifications: Preferred Qualifications: Masters or Ph.D. Degree in a quantitative field. Public Compensation: $109,000/year to $171,000/year + bonus + equity + benefits Industry: Internet Equal Opportunity: Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Data Scientist Company: Norstella Location: Remote, United States Date Posted: Aug 22, 2024 Employment Type: Full Time Job ID: R-534 Description About Norstella At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quickerand help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: Citeline accelerate the drug development cycle Evaluate bring the right drugs to market MMIT identify barrier to patient access Panalgo turn data into insight faster The Dedham Group think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. Job description Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making. Our unique collaborative approach fosters a dynamic synergy between data science and product development. Our deep expertise in machine learning, artificial intelligence, advanced statistical modelling, and big data, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. Key duties and responsibilities In this role as a Data Scientist, you will: Collaborate with product partners and other scientists to identity new opportunities to apply AI / ML to our content and products Conduct research and identify AI / ML algorithms and methods to solve specific business problems, and deliver these algorithms as microservices in collaboration with content and product engineering teams Contributes towards the common data science platform Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments Key requirements 3+ years of experience developing AI / ML applications and data driven solutions Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience Substantial depth and breadth in NLP, Deep Learning, Generative AI and other state of the art AI / ML techniques Deep understanding of CS fundamentals, computational complexity and algorithm design Experience with building large-scale distributed systems in an agile environment and the ability to build quick prototypes Excellent knowledge of high-level programming languages (Python, Java, or C++) and core data science libraries including Pandas, NumPy and other similar libraries Ability to independently conduct research and independently develop appropriate algorithmic solutions to complex business problems Experience mentoring junior team members Excellent problem solving and communication skills Nice to have M.S. in Computer Science with an AI / ML research focus and publications in top-tier journals and conferences. Knowledge of the healthcare domain and experience with applying AI to healthcare data Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake Experience with LLMs, prompt engineering, retrieval augmented generation, model fine tuning and knowledge graphs Our Guiding Principles at Norstella 01: Bold, Passionate, Mission-First We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. 02: Integrity, Truth, Reality We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesnt. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. 03: Kindness, Empathy, Grace We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. 04: Resilience, Mettle, Perseverance We will persevere even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. 05: Humility, Gratitude, Learning We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. Benefits: Medical and prescription drug benefits Health savings accounts or flexible spending accounts Dental plans and vision benefits Basic life and AD&D Benefits 401k retirement plan Short- and Long-Term Disability Education benefits Paid parental leave Paid time off The expected base salary for this position ranges from $100,000 to $120,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law. Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

SYNERGISTICIT wants every candidate to know that the Job Market is Challenging and to stand out, you need to have exceptional skills and technologies and that's where we come in to make sure you get the attention which you need SynergisticIT understands the complex nature of the job market and how difficult it can be to secure a position, especially for fresh graduates. Therefore, we assist and help tech-savvies to convert their passions into professions. We go above and beyond to keep you working in your niche. As we focus on long-term success, we provide complete career development solutions. From job search to upskilling portfolio and interview preparation, we can guide you at every step of your career. SynergisticIT spares no efforts to connect you with a large network of tech giants, including Google, Apple, PayPal, Dell, Cisco, Client, etc. Presently, we are actively looking for MACHINE LEARNING ENGINEER with a driven mindset. Get the right opportunity and gain experience in building web-centric solutions on Java. Who Should Apply : Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or anyone looking to make their career in IT Industry We also assist in filing for STEM extension and H1b and Green card filing. 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 candidates who want to get employed and make a career in the Tech Industry Please also check the below links : https://www.synergisticit.com/candidate-outcomes/ 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 the skills are not a match candidates can opt for Skill enhancement. Or their resume can be sent out to clients to see if responses are achievable REQUIRED SKILLS For Java/Software Programmers : <ul> <li>Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT</li> <li>Highly motivated, self-learner, and technically inquisitive</li> <li>Experience in programming language Java and understanding of the software development life cycle</li> <li>Knowledge of Core Java , javascript , C++ or software programming</li> <li>Spring boot, Microservices and REST API's experience</li> <li>Excellent written and verbal communication skills </li> </ul>For data Science/Machine learning REQUIRED SKILLS<ul> <li>Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT</li> <li>Highly motivated, self-learner, and technically inquisitive</li> <li>Experience in programming language Java and understanding of the software development life cycle</li> <li>Knowledge of Statistics, Python, data visualization tools</li> <li>Excellent written and verbal communication skills </li> </ul>Preferred skills: NLP, Text mining, Tableau, Time series analysis Technical skills are required by clients for selection even if its Junior or entry level position each additional Technical skill helps a candidate's resume to be picked by clients over other job seekers. Clients hire candidates with the right technical skills which they need and reject candidates who lack the required technical skills. No third party candidates or c2c candidates Please apply to the posting No phone calls please. Shortlisted candidates would be reached out

Become a part of our caring community and help us put health first Humana is seeking a Data Scientist 2 to join our company, which is ranked #40 on the Fortune list and recognized as one of the Best Places to Work. Help us make a significant impact as we assist our members in achieving their best health! This Data Scientist 2 position will join our Site Reliability Engineering (SRE) team to help identify data sets that are impactful to the SRE organization and ensure quality, consistency, and accuracy of the data. Additionally, this individual will help establish processes and procedures for gathering, validating, analyzing, and reporting data sets. In this role, you will also present information using data visualization and dashboarding techniques. The Data Scientist 2 uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Data Scientist 2 work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action. The Data Scientist 2: Develops, maintains, and collects structured and unstructured data sets for analysis and reporting. Creates reports, projections, models, and presentations to support business strategy and tactics. Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. Follows established guidelines/procedures. Identifies, pulls, reviews, and validates data sets. Ensures quality, consistency, and accuracy of datasets. Analyzes large, complex data sets to extract insights and support decision making. Develops predictive models. Presents information using data visualization techniques. Proposes solutions to business challenges. Use your skills to make an impact Required Qualifications Bachelor's Degree 4 years technical experience Experience with data visualization tools, such as Power BI, Tableau, Qlik, etc. Experience with SQL queries Experience working with large databases Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting Experience in creating reports, projections, models, and presentations to support business Experience in using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions Possesses an understanding of department, segment, and organizational strategy and operating objectives, including their linkages to related areas Capable of making decisions regarding own work methods, occasionally in ambiguous situations Preferred Qualifications Master's Degree Experience with the Azure data ecosystem Financial knowledge Experience working with ServiceNow ticket data Experience with Power BI Additional Information Location/Work Style: Remote US Why Humana? At Humana, we know your well-being is important to you, and it's important to us too. That's why we're committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life. Just to name a few: Work-Life Balance Generous PTO package Health benefits effective day 1 Annual Incentive Plan 401K - Excellent company match Well-being program Paid Volunteer Time Off If you share our passion for helping people, we likely have the right place for you at Humana. Work at Home Guidance To ensure Home or Hybrid Home/Office associates' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is recommended; wireless, wired cable or DSL connection is suggested Satellite, cellular and microwave connection can be used only if approved by leadership Associates who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense. Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information SSN Alert Statement Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from Humana@myworkday.com with instructions on how to add the information into your official application on Humana's secure website. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.$86,600 - $119,200 per yearThis job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, 'Humana') offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. About us Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large. Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or veteran status. It is also the policy of Humana to take affirmative action to employ and to advance in employment, all persons regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our https://www.humana.com/legal/accessibility-resources?source=Humana_Website.

Job Description The Role: The Data Scientist for the Marketing Applied Science Team is an internal expert on methodology and practice of marketing analytics. This individual has deep technical expertise in measurement methods and media mix modeling, including advanced econometrics and statistical methods used to qualify media impacts and integration of 1P/3P data sources. They also have expertise in the economics of media channels (i.e., TV, Display, Paid Search, Paid Social, Programmatic, etc), measurement of ROAS lift, and coordination of tactics through sequencing and frequency caps. This person will work closely with stakeholders in GMs vehicle brands and the Performance Driven Marketing team to ensure business acceptance of proposed methods, objective performance evaluation, and optimization of audience activation that drive sales. They will be responsible for developing advanced marketing models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment. Our team is focused on delivering future-focused, consumer- centric, prescriptive solutions that allow GM to stay proactive and nimble in our exciting transition to EVs. What You'll Do: <ul><li>Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units. </li><li>Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: Create breakthrough solutions, performing exploratory and targeted data analyses. Undertake preprocessing of structured and unstructured data. Monitor and sustain model effectiveness. Present complex information using data visualization techniques. </li><li>Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing. </li><li>Identify long-term technical innovations while continuously improving execution efficiency. </li><li>Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement. </li><li>Deep knowledge of marketing media measurement techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms. </li><li>Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact. </li><li>Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive. </li><li>Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff. </li> </ul>Your Skills & Abilities (Required Qualifications): <ul><li>Masters Degree or Ph.D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field. </li><li>Minimum five years of experience developing, deploying, and monitoring performance of statistical, AI, and/or machine learning based models. </li><li>Proficient writing Python/R (modeling) and SQL/Spark (data), working with Pandas, StatsModels, PYMC, TensorFlow, Pytorch, Spark/ML, sklearn, numpy and related packages. </li><li>Prior experience with paid, earned, and owned media, including tools like Adobe Analytics, Google Analytics, Neustar/Transunion, LiveRamp, M1 and more. </li><li>Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality. </li> </ul>What Will Give You a Competitive Edge (Preferred Qualifications): <ul><li>Desired expertise in marketing analytics and advanced methods such as: customer lifetime value, media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, hazard /survival models, structural equation modeling, item response theory, latent class regression. </li> </ul>Additional Job Description Compensation : The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington. <ul><li>The salary range for this role is $116,100 - $181,600. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position. </li><li>Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. </li> </ul>?This role is based remotely but if you live within a 50-mile radius of Austin, TX, Roswell, GA, Mountain View, CA or Warren, MI, you are expected to report to that location three times a week, at minimum This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. #LI-CC1 About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We aspire to be the most inclusive company in the world. We believe we all must make a choice every day individually and collectively to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. Benefits Overview The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; Company and matching contributions to 401K savings plan to help you save for retirement; Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; Tuition assistance and student loan refinancing; Discount on GM vehicles for you, your family and friends. Diversity Information General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. Equal Employment Opportunity Statements GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.? We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: Our Company (https://search-careers.gm.com/en/working-at-gm/) Our Culture How we hire??????? (https://search-careers.gm.com/en/how-we-hire/) Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global location s The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Job Description:Sharecare is the leading digital health company that helps people no matter where they are in their health journey unify and manage all their health in one place. Our comprehensive and data-driven virtual health platform is designed to help people, providers, employers, health plans, government organizations, and communities optimize individual and population-wide well-being by driving positive behavior change. Driven by our philosophy that we are all together better, at Sharecare, we are committed to supporting each individual through the lens of their personal health and making high-quality care more accessible and affordable for everyone. To learn more, visit www.sharecare.com.Job Summary:Sharecare is searching for a Data Scientist/Statistician who will support our product, delivery, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and media delivery process optimization and using models to identify target audiences. The Sharecare Data Scientist must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. He/she must have a proven ability to understand business requirements, applying data analysis techniques to uncover opportunities that drive business results with data-based insights. He/she must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large disparate data sets and working with stakeholders to improve business outcomes.Essential Functions:Formulates efforts for guided, multifaceted analytic studies against large volumes of data.Interprets and analyzes data using exploratory mathematic ML/statistical techniques based on the scientific method.Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employs programming to clean, massage, and organize the data.Develops and designs experiments against data points to provide information based on experiment results to uncover new solutions to data challenges.Works with cross functional team including with Data Engineers to establish requirements for and/or build data environments for modeling.Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and media campaign optimization strategies.Develop custom data models and algorithms to apply to data sets.Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.Develop company A/B testing framework and test model quality.Lead efforts to implement models and monitor outcomes.Develop processes and tools to monitor and analyze model performance and data accuracy.Develop and mentor data team to support Life Sciences team needsQualifications:Masters degree in operations research, Industrial Engineering, Applied Mathematics, Statistics, Economics, Computer Science, or related fieldsFluency in statistics/statistical methods4+ years of professional experienceProficient with one or more ML/statistical languages (Python, R, SAS etc.)Demonstrated experience applying data science methods to real-world data problemsExperience utilizing visualization tools to take advantage of the growing volume of available informationAbility to multitask, manage tight deadlines, and work effectively with cross functional teams in an ever-changing and exciting environmentAbility to interpret results and apply to business problemsStrong communication skills (written and verbal) with results orientated mindsetExperience with digital media preferredExperience in pharmaceutical industry a plusSharecare and its subsidiaries are Equal Opportunity Employers and E-Verify users. Qualified applicants will receive consideration for employment without regard to race, color, sex, national origin, sexual orientation, gender identity, religion, age, equal pay, disability, genetic information, protected veteran status, or other status protected under applicable law.Sharecare is an Equal Opportunity Employer and doesn't discriminate on the basis of race, color, sex, national origin, sexual orientation, gender identity, religion, age, disability, genetic information, protected veteran status,or other non-merit factor.

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Data Scientist Jobs in Salem, OR

Data ScientistSeptember 6, 2024

Data Scientist I RemoteSeptember 5, 2024

Data Scientist Product AnalyticsAugust 26, 2024

Data ScientistAugust 25, 2024

Data ScientistAugust 22, 2024

Data Scientist Site Reliability EngineeringAugust 22, 2024

Staff Data Scientist Marketing Applied SciencesAugust 22, 2024

Data Scientist RemoteAugust 19, 2024