Center 3 (19075), United States of America, McLean, VirginiaPrincipal Associate, Cyber Security Data ScientistCyber Data Science (CDS) is looking for a data-focused professional with cyber security experience to join our new and growing team. This candidate will operate as a team lead as CDS builds new data-driven systems to identify trends in our Cyber landscape and implement proactive actions. This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.In this role, you will be responsible for interacting with cyber security related data to create and communicate insights powering reports and real-time dashboards that create situational awareness and facilitate data-driven decisions. As part of this, you may be tasked to work with various teams across Cyber Operations, Engineering, Product, and Architecture to optimize our data delivery and extraction across multiple data sources. Responsibilities:<ul><li>Leveraging a blend of cybersecurity and data science knowledge to identify patterns and relevant insights that drive decision-making at operational and strategic levels</li><li>Leading initiatives to incorporate Machine Learning into projects and BAU activities</li><li>Mentorship and coaching of other CDS team members</li><li>Exploring new technologies to continually improve our extraction, transformation, and load capabilities</li><li>Assessing existing technologies, processes, products, and services to determine automation opportunities </li><li>Creating, and enhancing, reports and dashboards (utilizing Tableau or Databricks) for various audiences that reflect the efficacy of people, processes, and technology within Cyber</li><li>Creating insights using new and existing technologies to provide situational awareness and contribute towards decision making processes across Cyber</li><li>Effectively communicating analytical insights sourcing from, and involving, Cyber Operations data to multiple audiences, recommending actions to improve our operational posture</li><li>Building relationships with stakeholders across Detection & Mitigation to create new/improved insights</li></ul>About you:<ul><li>An excellent communicator at various levels, able to develop and speak to code and analysis, and translate methodology and findings to leadership</li><li>A team player that ensures theyre bringing their peers along with them and shares lessons learned</li><li>Proficient in Python and SQL, and displays an emphasis on continuous learning opportunities</li><li>Able to programmatically extract, transform, visualize, and analyze data from databases or S3 </li><li>Comprehend how data flows and changes, and share this knowledge with customers and teammates</li><li>Regularly leveraging existing cyber security knowledge to create relevant insights that facilitate data-driven decisions</li></ul>Basic Qualifications:<ul><li>High School Diploma, GED or equivalent certification</li><li>At least 4 years of experience using database management tools</li><li>At least 4 years of experience using relational database systems </li><li>At least 4 years experience utilizing SQL</li><li>At least 3 years of experience scripting in Python</li><li>At least 3 years of experience creating visualizations with business intelligence tools (Tableau or PowerBI)</li><li>At least 1 year of experience working with APIs</li></ul>Preferred Qualifications:<ul><li>Bachelors Degree in Computer Science, Cyber Security, Engineering, Data Analytics, or related field</li><li>Professional Certification (Security+, Data+, Cyber Security Analyst+, or Systems Security Certified Practitioner)</li><li>5+ years of experience working business intelligence tools </li><li>1+ year of experience with Cloud services (Amazon Web Services, Google Cloud Platform or Microsoft Azure)</li><li>1+ year of experience building Machine Learning frameworks</li><li>1+ year of experience utilizing Databricks</li><li>1+ year of experience with Snowflake or S3</li><li>1+ year of experience with Git</li></ul>At this time, Capital One will not sponsor a new applicant for employment authorization for this position.The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.New York City (Hybrid On-Site): $165,100 - $188,500 for Prin Assoc, Cyber TechnicalCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<div><div><div><div>Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the <a target="_blank" href="https://www.capitalonecareers.com/benefits">Capital One Careers website</a>. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</div></div></div></div>This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at <a target="_blank" href="mailto:RecruitingAccommodation@capitalone.com">RecruitingAccommodation@capitalone.com</a>. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One's recruiting process, please send an email to <a target="_blank" href="mailto:Careers@capitalone.com">Careers@capitalone.com</a>Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Taking care of people is at the heart of everything we do, and we start by taking care of you, our valued colleague. A career at Sedgwick means experiencing our culture of caring. It means having flexibility and time for all the things that are important to you. Its an opportunity to do something meaningful, each and every day. Its having support for your mental, physical, financial and professional needs. It means sharpening your skills and growing your career. And it means working in an environment that celebrates diversity and is fair and inclusive.A career at Sedgwick is where passion meets purpose to make a positive impact on the world through the people and organizations we serve. If you are someone who is driven to make a difference, who enjoys a challenge and above all, if youre someone who cares, theres a place for you here. Join us and contribute to Sedgwick being a great place to work.Great Place to WorkMost Loved WorkplaceForbes Best-in-State EmployerData Scientist (REMOTE)Primary Purpose of this Role: To develop and manage predictive modeling assignments through completion; to communicate results; to make recommendations to management; and to ensure model ownership, implementation, and monitoring; to spot trends and to gain maximum insight that can give the company a competitive advantage.Essential Responsibilities May IncludeExecute data science projects as identified by Sr Data Scientists, leadership, and stakeholdersHelp to build, prototype, and deploy machine learning models in sandbox and production environmentsProduce reports to communicate metrics and outcomes of stakeholder interestAssist with developing and maintaining end-to-end ETL data pipelinesWork to explore new internal data sources and their utility within projectsCommunicate modeling challenges, findings, and outcomes to stakeholdersQualificationsInsurance claims knowledge preferredMinimum one year of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineeringExperience writing Python or R code, and notebook environmentsKnowledge of writing code in Python or R, and notebook environmentsKnowledge of common unsupervised/supervised ML techniquesTaking Care of YouCareer development and promotional growth opportunitiesA diverse and comprehensive benefits offering including medical, dental vision, 401k, PTO and more#datascience#datascientistSedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.Taking care of people is at the heart of everything we do. Caring countsSedgwick is a leading global provider of technology-enabled risk, benefits and integrated business solutions. Every day, in every time zone, the most well-known and respected organizations place their trust in us to help their employees regain health and productivity, guide their consumers through the claims process, protect their brand and minimize business interruptions. Our more than 30,000 colleagues across 80 countries embrace our shared purpose and values as they demonstrate what it means to work for an organization committed to doing the right thing one where caring counts. Watch this video to learn more about us. (https://www.youtube.com/watch?v=ywxedjBGSfA)

Taking care of people is at the heart of everything we do, and we start by taking care of you, our valued colleague. A career at Sedgwick means experiencing our culture of caring. It means having flexibility and time for all the things that are important to you. It's an opportunity to do something meaningful, each and every day. It's having support for your mental, physical, financial and professional needs. It means sharpening your skills and growing your career. And it means working in an environment that celebrates diversity and is fair and inclusive. A career at Sedgwick is where passion meets purpose to make a positive impact on the world through the people and organizations we serve. If you are someone who is driven to make a difference, who enjoys a challenge and above all, if you're someone who cares, there's a place for you here. Join us and contribute to Sedgwick being a great place to work. Great Place to Work Most Loved Workplace Forbes Best-in-State Employer Data Scientist (REMOTE) Primary Purpose of this Role: To develop and manage predictive modeling assignments through completion; to communicate results; to make recommendations to management; and to ensure model ownership, implementation, and monitoring; to spot trends and to gain maximum insight that can give the company a competitive advantage. Essential Responsibilities May Include Execute data science projects as identified by Sr Data Scientists, leadership, and stakeholders Help to build, prototype, and deploy machine learning models in sandbox and production environments Produce reports to communicate metrics and outcomes of stakeholder interest Assist with developing and maintaining end-to-end ETL data pipelines Work to explore new internal data sources and their utility within projects Communicate modeling challenges, findings, and outcomes to stakeholders Qualifications Insurance claims knowledge preferred Minimum one year of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering Experience writing Python or R code, and notebook environments Knowledge of writing code in Python or R, and notebook environments Knowledge of common unsupervised/supervised ML techniques Taking Care of You Career development and promotional growth opportunities A diverse and comprehensive benefits offering including medical, dental vision, 401k, PTO and more #datascience #datascientist Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles. Taking care of people is at the heart of everything we do. Caring counts Sedgwick is a leading global provider of technology-enabled risk, benefits and integrated business solutions. Every day, in every time zone, the most well-known and respected organizations place their trust in us to help their employees regain health and productivity, guide their consumers through the claims process, protect their brand and minimize business interruptions. Our more than 30,000 colleagues across 80 countries embrace our shared purpose and values as they demonstrate what it means to work for an organization committed to doing the right thing - one where caring counts. Watch this video to learn more about us. (

Data ScientistPhiladelphia, PA (hybrid)Full time Brooksource is looking to hire a Data Scientist to work with one of our healthcare insurance clients. This is located out of Center City Philadelphia as a contract-to-hire. As the Data Scientist, you will use Google Cloud Platform (GCP) tools and technologies, such as Vertex AI and BigQuery, to build, deploy, and monitor scalable and robust machine learning solutions. Responsibilities: <ul><li>Identify opportunities to apply machine learning and shape solutions that meet business needs.</li><li>Ideate, prototype, experiment, and build analytical solutions using GCP tools and technologies, such as Vertex AI and BigQuery.</li><li>Develop machine learning models, iterating over model classes to find the best model optimized for the specific target and use case.</li><li>Conduct model bias audits and ensure that the models are fair, ethical, and aligned with IBX values.</li><li>Interpret results, identify limitations, constraints, and assumptions, and communicate findings and recommendations to business stakeholders and senior management.</li><li>Deploy, monitor, and maintain machine learning solutions in production, ensuring their reliability, performance, and scalability.</li><li>Explore the potential of Generative AI applications, such as natural language generation, image synthesis, and data augmentation, to create new value for the business and the customers.</li><li>Stay updated on the latest developments and trends in data science, machine learning, and GCP, and share knowledge and insights with the team.</li></ul> Minimum Qualifications: <ul><li>Bachelor's degree or higher in Computer Science, Statistics, Mathematics, Engineering, or a related field.</li><li>At least 2 years of experience in data science, machine learning, or a similar role.</li><li>Experience in a health care-related field or working with health care data is preferred.</li><li>Proficient in Python and SQL, and familiar with other programming languages and tools.</li><li>Hands-on experience with GCP tools and technologies, such as Vertex AI, BigQuery, Dataflow, Cloud Storage, and Cloud Functions.</li><li>Experience in building, deploying, and monitoring machine learning solutions in production, using GCP or other cloud platforms.</li><li>Experience in building Generative AI applications, such as natural language generation, image synthesis, or data augmentation, using GCP or other frameworks.</li><li>Strong analytical, problem-solving, and communication skills.</li><li>Ability to work independently and collaboratively in a fast-paced and dynamic environment.</li><li>Passionate about data science, health care, and GCP.</li></ul> Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.

Taskrabbit will never use text or chat applications to conduct interviews. We have a thoughtful and interactive interview process that includes an initial recruiter phone screen and several video-based interviews with our hiring teams. Communications will always be conducted by taskrabbit.com domain names. About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more. At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world. <ul><li>Taskrabbit is a remote-first company with employees distributed across the US and EU</li><li>5-time Best Places to Work in 2022 by BuiltIn. Including Best Companies in SF, Best Mid-Sized Companies, and Best Benefits</li><li>DataBird journal's "Best Places" Best Companies for Diversity, #1 2019 and 2020</li><li>DataBird journal's "Best Places" Best Companies for Women, #4 2019 and #1 2020</li></ul> This role will be remote first with limited travel through August 2025 with the expectation that employees will begin working 2 days per week in our dedicated office space starting September 2025. You'll love working here because: <ul><li>Taskrabbit is a Remote-First Company. We value flexibility and choice but also stay committed to regular in-person connection.</li><li>The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teamspeople you can be proud to work with!</li><li>The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average.</li><li>The Perks. Taskrabbit offers US employees employer-paid health insurance and a 401k match with immediate vesting. Taskrabbit offers EU employees medical insurance. We offer all of our global employees, generous and flexible time off with 2 company-wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support, and more. Benefits vary by country of employment. </li></ul>Taskrabbit's commitment to Diversity and Inclusion: An Active Commitment to Equity within our Company and Platform. We are an inclusive community where all who share our mission and values belong. Our anti-racist culture actively strengthens the knowledge, understanding, and awareness of underrepresented experiences and our ongoing allyship commitment. Our diverse team represents the communities we serve, breaking down systemic barriers, and transforming lives- one action at a time. Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.

Job Description This position offers the opportunity to leverage the entire spectrum of analytics tools towards solving a wide variety of business problems. The focus is on applying a combination of industry standard practices and innovative ideas using structured and unstructured data from multiple sources and applying AI, machine learning and statistical techniques to build, evaluate and implement models. Our team focus' on creating analytical solutions that solve real world business problems for all lines of business. Analytics empowered technology platforms are changing the way we operationalize model outputs at Chubb. This role will work closely with engineering teams to deploy models as APIs into various cutting-edge platforms. This is a great opportunity to create analytic solutions for multiple lines of business, deepening your insurance product knowledge. <ul> <li>Collaborate with business partners and peers in the organization to understand and scope the problem, gather business requirements, and plan projects tasks and timelines.</li> <li>Partner with Product Owners and other data scientists to drive technical execution of modeling projects (from scoping, model development & review to implementation).</li> <li>Execute all aspects of analytics initiatives including exploratory data analysis, machine learning model development, model evaluation and benefit estimation.</li> <li>Build modeling frameworks that can be leveraged for multiple projects. High focus on code reproducibility and creating generalizable technology assets for analytics teams. </li> <li>Create excellent working relationships with business partners across the Chubb organization, IT and analytics peer groups.</li> <li>Effectively communicate results in written, oral and presentation formats.</li> <li>Monitor performance of models and report findings to leadership. </li> </ul> Qualifications <ul><li>Bachelor's or Master's degree in a computational science, economics or statistical field preferred.</li><li>5+ years analytics background with programming experience in Python or R required.</li><li>2+ years experience with predictive modelling in a P&C environment preferred. </li><li>Experienced with development and implementation of machine learning and statistical models.</li><li>Experience hosting machine learning models as APIs preferred (i.e. experience with Docker, MLFlow, or Flask)</li><li>Collaboration, knowledge sharing and keeping up to date on emerging industry trends. </li><li>Passion for solving business problems through analytics.</li><li>A good understanding of databases and approaches to extracting data.</li><li>Desire to work in a fast passed, team-oriented environment.</li></ul> The pay range for the role is $92,500 to $158,000. The specific offer will depend on an applicant's skills and other factors. This role may also be eligible to participate in a discretionary annual incentive program. Chubb offers a comprehensive benefits package, more details on which can be found on our careers website. The disclosed pay range estimate may be adjusted for the applicable geographic differential for the location in which the position is filled. About Us Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance, and life insurance to a diverse group of clients. The company is distinguished by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength, underwriting excellence, superior claims handling expertise and local operations globally. At Chubb, we are committed to equal employment opportunity and compliance with all laws and regulations pertaining to it. Our policy is to provide employment, training, compensation, promotion, and other conditions or opportunities of employment, without regard to race, color, religious creed, sex, gender, gender identity, gender expression, sexual orientation, marital status, national origin, ancestry, mental and physical disability, medical condition, genetic information, military and veteran status, age, and pregnancy or any other characteristic protected by law. Performance and qualifications are the only basis upon which we hire, assign, promote, compensate, develop and retain employees. Chubb prohibits all unlawful discrimination, harassment and retaliation against any individual who reports discrimination or harassment.

Noom is a digital healthcare company that connects people to content, coaching, community, and clinicians to build healthy habits and promote better living. We're a mission-driven, high-growth organization that's powered by science, technology, and world-class talent. We are seeking a force multiplier Staff Data Scientist to amplify the collective impact of the Data Science team at Noom. This role requires a highly skilled individual who excels in analytics, machine learning, and system design. The ideal candidate will help drive our product vision and business strategy by optimizing the Noom user experience, business operations, and financial decision-making through application of sophisticated data analysis and machine learning. Although this person will not have direct reports, this is a role that will be expected to lead through influence, including technical mentorship and oversight of more junior Data Scientists. What You'll Be Doing: <ul> <li>Partner with stakeholders across Noom to identify opportunities and implement scalable Data Science systems and working models that supercharge team and company impact </li><li>Interface with and influence the Engineering and Software Architecture teams, representing the needs and viewpoints of Data Science </li><li>Drive technical scale by establishing development standards that guide how we build, QA, deploy, monitor, evaluate, and iterate in Data Science </li><li>Increase organizational scale by implementing new frameworks, skills training, and people processes across the Data Science team </li><li>Actively seek and implement new and cutting edge Data Science methods and technologies to drive business results </li><li>Mentor Junior Team Members: Provide guidance and mentorship to our team of data scientists and analysts, promoting a culture of learning and collaboration </li></ul>What We're Looking For: <ul> <li>Bachelor's degree in a STEM field such as Mathematics, Statistics, Engineering, Computer Science, Economics, Psychology, or similar. Graduate degree preferred. </li><li>Professional Experience: Minimum of 8 years of professional industry experience in data science with at least some focus on business operations, marketing, or financial analysis </li><li>Required Technical Skills and Experience: </li> <ul><li>Expertise in statistical analysis and business metric definition, applied machine learning (including model evaluation), and optimization techniques </li><li>Proficient in SQL, Python, Spark, and Git </li><li>Experience working with both open source software and proprietary ML vendors </li><li>Experience designing both batch production and realtime ML systems </li> </ul><li>Preferred Technical Skills and Experience: </li> <ul><li>GenAI </li> <li>GCP Vertex Platform </li><li>Databricks </li><li>MLOps </li></ul> <li>Strong problem-solving and influence skills with the ability to perform complex quantitative analysis and use data to drive strategic decisions. </li><li>Excellent verbal and written communication skills, with the ability to translate complex data into actionable insights for non-technical audiences and executive leadership. </li><li>Demonstrated success working collaboratively in a team environment and independently defining and managing projects with multiple stakeholders. </li></ul>Base Salary: <ul> <li>The expected base salary for this position is $231,000 - $312,000. </li><ul> <li>Our salary ranges are determined by role, level, and location. The range displayed on each job posting is based on Noom's estimate as of the date of publication and reflects the minimum and maximum target for the position across all US locations. The actual placement of the candidate within the range is based on factors including but not limited to relevant experience, assessment of functional skills and behavioral competencies, scope, and location. This range is not inclusive of any discretionary bonus or equity package. </li> </ul></ul>Other Elements of the Rewards Package: <ul> <li>Noom currently offers a comprehensive and generous total rewards package. This package generally includes discretionary performance-based bonus, stock awards, healthcare & retirement benefits, paid holidays, paid time off, disability benefits and various wellness programs, etc. </li></ul>Location: <ul> <li>By applying to this position you will have an opportunity to share your preferred working location from the following: </li><ul> <li>In-office Location(s): New York, NY, USA; Princeton, NJ, USA </li><li>Remote location(s): Remote-friendly, but local to NYC or Princeton, NJ preferred </li></ul> <li>Your recruiter can share more about the specific compensation package for your preferred location during the hiring process </li></ul> More About Noom At Noom, we believe that the individual is the greatest force for good, not just in their health but in unlocking their fullest potential. We apply the same principles inside Noom. Across our dynamic organization, we empower our teams to execute on big ideas and we start and end each day with responsibility to make the world a healthier place. Fortune, Inc., Glassdoor, and Crain's have all named Noom a Best Place to Work including being named on Fortune's lists for Best Workplaces in New York, Best Workplaces in Technology, Best Workplaces for Women, and Best Workplaces for Millennials. Noom is proud to be an Equal Opportunity Employer, and all applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, caste, national origin, physical or mental disability, protected veteran status, age, or any other characteristic protected by applicable law. Noom is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities. To request reasonable accommodation, please email accommodations-help@noom.com. To help protect against potential hiring scams, please be aware that all email communications from the Noom Talent team and/or hiring managers will come only from an @noom.com email address. Our assessment process includes multiple phone and/or video interview rounds, and we will never ask you for personal payment, require you to purchase equipment, or extend a job offer without the completion of this interview process. If you are unsure about the validity of a Noom job posting on another website, we strongly encourage you to instead apply directly through our website

<h3>Job Description</h3><div>Job Description<div> JOB DESCRIPTION Senior Data Scientist Technology Department Reports to: SVP, Data, Analytics & AI Innovation  <div>Job Summary</div> As a Senior Data Scientist at Calcium+Company, you will play a pivotal role in leveraging data and AI to inform and optimize our marketing strategies. Reporting to the SVP, Data, Analytics & AI Innovation, you will work closely with cross-functional teams to analyze complex data sets, develop predictive models, and provide actionable insights that enhance our clients' marketing efforts. This role requires a blend of technical expertise, business acumen, and a passion for driving innovation through data. In this hybrid role, you will be expected to spend a minimum of 2 days per week on-site at a Calcium+Company office or client location.  <div>Key Job Responsibilities (Duties may include, but are not limited to all or some of the following)</div> <ol><li>Data Analysis & Modeling:</li></ol><ul><li>Conduct thorough analysis of large and complex data sets to extract meaningful insights.</li><li>Develop and implement predictive models and machine learning algorithms to solve business problems.</li><li>Perform hypothesis testing, A/B testing, and other statistical analyses to inform decision-making.</li><li>Utilize AI techniques to improve data processing, pattern recognition, and predictive capabilities.</li></ul><ol><li>Data Strategy & Innovation:</li></ol><ul><li>Collaborate with stakeholders to understand business objectives and define data strategies that support these goals.</li><li>Identify opportunities to leverage data for new business opportunities and competitive advantages.</li><li>Stay updated with the latest trends and advancements in data science, machine learning, and AI.</li></ul><ol><li>Communication & Collaboration:</li></ol><ul><li>Present findings and insights to non-technical stakeholders in a clear and compelling manner.</li><li>Work closely with marketing, technology, and creative teams to integrate data-driven insights into campaigns and projects.</li><li>Incorporate social listening insights to inform and optimize marketing strategies.</li></ul>  <ul><li>Mentor and guide junior data scientists and analysts to foster a culture of continuous learning and improvement.</li></ul><ol><li>Data Management & Quality:</li></ol><ul><li>Ensure the integrity, accuracy, and consistency of data throughout the data lifecycle.</li><li>Develop and maintain data pipelines, ETL processes, and data infrastructure.</li><li>Implement best practices for data governance and compliance with relevant regulations.</li><li>Utilize AI-driven tools for data quality and anomaly detection.</li></ul><ol><li>Tools & Technologies:</li></ol><ul><li>Data Visualizations: Utilize Looker Studio for creating data visualizations and dashboards to support data-driven decision-making.</li><li>Marketing Intelligence Data and Platforms: Leverage comprehensive healthcare data, including EHR data, engagement data, marketing intelligence data, and more, to enhance research and strategy development.</li><li>Implement and utilize AI and machine learning platforms to enhance data analysis and insights.</li></ul> <div>Job Qualifications (Skills/Requirements)</div> <ol><li>Education & Experience:</li></ol><ul><li>Advanced degree preferred in Data Science, Computer Science, Statistics, Mathematics, or a related field.</li><li>5+ years of experience in data science or a similar role, preferably within the healthcare or marketing industry.</li><li>Proven experience as a Data Analyst is a must.</li><li>Experience with data platforms including, Cision, Pulsar, DataMonitor, Clarivate, EHR data, Kantar, Brandwatch, Semrush, AdClarity, and Audiense is preferred.</li></ul><ol><li>Technical Skills:</li></ol><ul><li>Proficiency in programming languages such as Python, R, or SQL.</li><li>Experience with data visualization tools (e.g., Tableau, Power BI, Looker Studio, D3.js).</li><li>Strong understanding of machine learning algorithms, statistical modeling, and data mining techniques.</li><li>Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, and OpenAI.</li><li>Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud, Azure).</li></ul><ol><li>Soft Skills:</li></ol><ul><li>Excellent problem-solving and analytical skills.</li></ul><ul><li>Strong communication and presentation abilities.</li><li>Ability to work collaboratively in a fast-paced, team-oriented environment.</li><li>Attention to detail and a commitment to delivering high-quality work.</li><li>Must be able to work on-site a minimum of 2 days per week in a Calcium+Company office or client location.</li></ul><div></div>  About Calcium+Company Calcium+Company is an award-winning health communications agency dedicated to nourishment for life, led by CEO Judy Capano and Group President Greg Lewis.   With more than 140 employees and offices in New York, Philadelphia, and Mexico City, Calcium+Company offers a range of leading-edge strategic, creative, and engagement services designed to nourish brands and drive business success. It also focuses on being a nourishing force for its people and the wider community. Calcium was recently awarded MM+M Independent Agency of the Year with PE Backing.   Please visit us at www.calciumco.com and follow us on LinkedIn and Instagram.   Powered by JazzHRFgISZqnku0</div></div>

Data Scientist Jobs in Philadelphia, PA

Principal Associate Cyber Security Data Scientist
July 23, 2024

Data Scientist Remote
July 22, 2024

Data Scientist Remote
July 21, 2024

Data Scientist
July 17, 2024

Senior Data Scientist
July 11, 2024

Senior Data Scientist
July 3, 2024

Staff Data Scientist
June 29, 2024

Senior Data Scientist
June 28, 2024

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Data Scientist Jobs in Philadelphia, PA

Principal Associate Cyber Security Data ScientistJuly 23, 2024

Data Scientist RemoteJuly 22, 2024

Data Scientist RemoteJuly 21, 2024

Data ScientistJuly 17, 2024

Senior Data ScientistJuly 11, 2024

Senior Data ScientistJuly 3, 2024

Staff Data ScientistJune 29, 2024

Senior Data ScientistJune 28, 2024