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Passionate about precision medicine and advancing the healthcare industry? Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time. The Scientist II, Life Sciences Research will execute research projects for early stage biopharmaceutical partners. This role involves performing complex computational analyses, and providing interpreted insights to guide decision-making for biopharma clients. The ideal candidate will possess strong genomic analytical skills and the ability to communicate complex scientific findings to various stakeholders. Key Responsibilities: Independent Contribution: Independently execute complex translational research projects integrating molecular and clinical data from Tempus multimodal data platform to derive real-world insights for biopharma partners Scientific Communication: Present scientific findings clearly and meaningfully to diverse sets of external stakeholders Continuous Improvement: Stay current with industry trends, best practices, and advancements in computational oncology research. Apply this knowledge to enhance research methodologies and improve overall research quality on team Qualifications: Education: PhD degree in a quantitative discipline (e.g. Biostatistics/Statistical Genetics, Cancer Genetics, Bioinformatics, Computational Biology, Computational Immunology or similar) or, a PhD in Molecular Biology or Immunology combined with a very strong record of computational biology. Alternatively an MSc degree with 4+ years of industry experience. Technical/Scientific Skills: Highly proficient in R (ideally Rmd and/or RShiny) Communication Skills: Excellent written and verbal communication skills, with the ability to present complex information clearly and persuasively to diverse audiences. Preferred Skillsets/Background: Strong understanding of molecular data and artificial intelligence in drug discovery with experience in integrative modeling of multi-modal clinical and omics data. Previous experience working with large transcriptome and NGS data sets. Prior consulting and/or client facing experience is highly desirable Ability to work collaboratively in a team environment Thrive in a fast-paced environment and willing to shift priorities seamlessly. Experience with R package development. Strong peer-reviewed publication record. Experience with: Pandas, NumPy, SciPy, Scikit-learn, Jupyter Notebooks, RStudio, R Package development, tidyverse, ggplot, Git, matplotlib, seaborn, HTML5, CSS3, JavaScript, D3, Plot.ly, Flask, Dask, Docker, AWS. Goal orientation, self motivation, and drive to make a positive impact in healthcare. California Pay Range - $100,000 - $150,000 Illinois Pay Range - $90,000 - $135,000 The expected salary range above is applicable if the role is performed from California and may vary for other locations (Colorado, Illinois, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position. Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote roles- Tempus reasonably believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: engaging positively with customers and other employees; accessing confidential information, including intellectual property, trade secrets, and protected health information; and appropriately handling such information in accordance with legal and ethical standards. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Position at MTA Headquarters Department: MTAHQ - Strategic Initiatives Location: 2 Broadway, New York, NY 10004 Position Title: Data Science, Emerging Talent Intern Hourly Rate: $22.00 (Post-Graduate) OVERVIEW OF DEPARTMENT: The MTA Data and Analytics Team builds modern data infrastructure, owns the product experience of analytics within the MTA, manages our institution's Open Data Program, and tackles the agency's biggest data-driven challenges. RESPONSIBILITIES: Write code to clean, combine, and transform data generated from business operations Design and document algorithmic processes to carry out data transformations Incorporate quality checks in data processes to ensure sustainable accuracy Build Apache Airflow pipelines to deploy data processes as long-term, maintainable data pipelines. Update existing data processes to manage input changes, address new business priorities, and improve maintainability. Monitor the health of existing data pipelines and help fix them if breakdowns occur. Assist in data analyses to answer questions from MTA leadership. Assist in the creation of presentation documents (e.g., PowerPoints) for presentation of data findings and products to MTA leadership and other MTA groups. PROJECTS: Build modern data pipelines for railroad ticket sales and ridership data on the MTA's data lake. Develop data pipelines that drive insight into Bus and Subway rail car maintenance practices (SMS, Overhauls, etc.). Reduce technical debt on exist pipelines by refactoring inefficient code and bringing existing code up to current D&A standards. REQUIRED QUALIFICATIONS: Proficiency in Microsoft Office Suite is a must. The candidate should possess organizational, analytical and communication skills. The candidate should be able to work well under pressure and prioritize tasks effectively. The candidate should have a keen eye for detail and be able to work independently while being an active team player. [ADD ANY OTHER QUALS] REQUIRED EDUCATION: Matriculated in an undergraduate program in good standing with at least 2.5 GPA AND/OR matriculated in an graduate program in good standing with at least 2.8 GPA Major(s) Preferred: [ENTER MAJORS], or related field. All applicants must be authorized to work in the United States at the time of application. Students' transcript must be submitted. Equal Employment Opportunity MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.

WHO WE ARE Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform - powered by one of the industry's largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com. THE ROLE Zeta Global seeks a Manager, Data Science and Analytics in New York, NY to serve as a trusted analytics partner to clients in Healthcare/Financial Services/Telecom industries, focusing on improving ROI and market share. Use personalization, ad-tech, or mar-tech. Lead and manage a team of analysts and train them to serve as independent analytics leads with clients. Partner with HR and Senior Leadership to recruit, develop, and retain top analytics talent and build a high-performing team aligned with organizational goals. Create annual performance. Objectives and Key Results for each analyst. Recommend performance ratings, promotions, and corrective action plans for direct reports based on observed performance metrics and feedback. Assign tasks. Provide coaching to strengthen technical skills, expand industry expertise, improve business acumen, strengthen client relationship management, and promote a collaborative team culture. Utilize data and insights to drive campaign measurement, prescriptive optimizations, and develop a path to consistent performance that exceeds client expectations. Collaborate with cross-functional teams (Sales, Account Management, Operations) to establish repeatable frameworks for actionable insights. Undertake quarterly strategic Data and Analytics projects that create added value for company and its clients. Assist in the development and deployment of state-of-the-art predictive and self-adjusting ML models to significantly enhance campaign performance. Use SQL, data visualization tools (e.g., Tableau), and Python. Use statistical analysis and/or predictive modeling techniques. Use skills in marketing measurement, advanced analytics, optimizations, A/B and multivariate testing. Use understanding of machine learning models and other complex data analysis techniques. Option to telecommute three days a week. Bachelor's degree in Business Analytics or Data Science plus 5 year of experience in job offered or in similar occupation Salary expectations: $255,944/yr Send resume to: S Arvelo, Zeta Global Corp., 3 Park Avenue, 33rd Floor, New York, NY 10016. BENEFITS & PERKS Unlimited PTO Excellent medical, dental, and vision coverage Employee Equity and Stock Purchase Plan Employee Discounts, Virtual Wellness Classes, and Pet Insurance And more!! PEOPLE & CULTURE AT ZETA Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual's sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression. We're committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here: https://zetaglobal.com/blog/a-look-into-zetas-ergs/ ZETA IN THE NEWS! https://zetaglobal.com/press/?cat=press-releases

Who We Are Arrive Logistics is a leading transportation and technology company in North America, with plans to continue to significantly grow year over year. Our success is a testament to our remarkable team and what we are building together. We’re committed to providing employees with a meaningful work experience and have established an award-winning culture that supports personal and career development in a fun, casual, and collaborative environment. There has never been a more exciting time to get on board, so read on to learn more and apply today! Who We Want We're seeking an experienced and visionary Head of Data Science to join our technology leadership team. This is a pivotal role where you'll not only refine our data science strategy and spearhead innovation but also play a critical role in shaping our overall data strategy, influencing the future of our data infrastructure, and enhancing our data visualization capabilities for scalable growth. Arrive boasts an outstanding data foundation. The logistics industry is rich with market data, and we've built a proprietary platform for operations, instrumentation, and internal data collection. At Arrive, data-driven decisions, automation, and innovation are paramount. In this leadership role, you'll collaborate extensively with various teams across the technology group and the wider business. What You’ll Do Develop and champion strategic data initiatives that directly align with quarterly and annual business objectives. You'll coordinate product and feature launches, foster the growth of your team, and serve as a senior leader within the Technology organization, articulating our holistic vision, strategy, and roadmap. Build upon and evolve Arrive's data science function and strategy, positioning us at the forefront of the industry. Collaborate closely with stakeholders across the organization to identify and solve complex business challenges, leveraging data to uncover and exploit new opportunities. Lead the creation of sophisticated data models that drive strategic initiatives and are seamlessly integrated into our products, delivering daily insights and automation to thousands of users. Continuously seek new and impactful ways to utilize Arrive's vast data assets for the benefit of our customers, always ensuring end-user privacy and security. Partner with the Engineering team to define and optimize our data infrastructure, and work with the Solutions group to enhance data visualization and utilization. Serve as an integral part of the technology leadership team, collaborating closely with Product Management and Engineering to drive integrated solutions. Strategize and create cutting-edge models and capabilities in areas such as supply chain forecasting, pricing, NLP for automation, and people forecasting, making our vision of "empowering the ambitious" through software and data a reality. Lead Arrive's entire data science function. This includes understanding the needs of various teams, establishing an optimal team structure, and designing end-to-end workflows to best serve those needs. Take ownership of developing, estimating, and executing a data science roadmap, consistently measuring and testing for quantitative success and continuous improvements. Build, lead, manage, and mentor a high-performing team of skilled data scientists, empowering them to proactively lead iteration cycles with stakeholders and advance according to the team's vision and business goals. Actively gauge fluctuations in the needs of relevant teams across Arrive and strategically hire new team members to scale the function effectively. Maintain highly effective communication and responsiveness within your team and with stakeholders across the company, adeptly managing a large volume of ongoing projects. Collaboratively partner with Arrive's internal teams, customers, carriers, and the broader freight logistics technology ecosystem to ensure seamless operations and foster strong relationships. Possess the ability to consider long-term sustainability in all data science decisions, with a keen eye for scalability and maintainability, while balancing future ideals with short and medium-term needs. Exhibit strong communication skills, effectively championing the best ideas and advocating for your beliefs with integrity and respect. Qualifications 5+ years in data analytics and quantitative modeling as a hands-on technical contributor. 3-5 years of relevant industry experience is a MUST (freight brokerage, logistics, supply chain, B2B pricing. 5+ years of leadership/management experience, leading a team deeply embedded in multiple functions of the business. Excellent educational background in a quantitative field, such as Operations Research, Economics/Econometrics, Forecast/Planning, Data Science/Machine Learning. Proficiency in SQL, Python, R, Spark, and familiarity with code and programming concepts. Experience with big data architectures, data modeling, ETL, and building large-scale data processing pipelines. Knowledge of deep learning, optimization, casual interference, and Agile methodologies. Excellent ability to translate complex technical concepts to non-technical audiences and vice-versa. A strategic, hands-on leader who simplifies complex problems and balances long-term vision with short-term needs. Proactive, self-starting, collaborative, and driven to personally own and complete critical initiatives. Supervisory Responsibility This position will supervise a team of Data Scientists within the Technology organization The Perks of Working With Us Take advantage of our comprehensive benefits package, including medical, dental, vision, life, disability, and supplemental coverage. Invest in your future with our matching 401(k) program. Build relationships and find your home at Arrive through our Employee Resource Groups. Enjoy office wide engagement activities, team events, happy hours and more! Leave the suit and tie at home; our dress code is casual. Work in the booming city of Austin, TX – we are in a convenient location close to the airport and downtown. Park your car for free on site! Start your morning with a specialty drink from our fully stocked coffee bar, Broker’s Brew. Sweat it out with the team at our onsite gym. Maximize your wellness with free counseling sessions through our Employee Assistance Program Take time to manage your physical and mental health - we offer company paid holidays, paid vacation time and wellness days. Receive 100% paid parental leave when you become a new parent. Get paid to work with your friends through our Referral Program! Get relocation assistance! If you are not local to the area, we offer relocation packages. The base salary range for this position is $200K - $300K, plus bonus and benefits. The range displayed on each job posting reflects the pay range for the position across all locations. Within the range, individual pay is determined based on work location, job-related skills, experience, relevant education or training. Your Arrive Experience When we say “award-winning culture,” we mean it. We’ve been recognized as a top workplace by Inc. Fast Company, Fortune, and earned Top Workplaces and Great Place to Work, to name a few. We intend on topping many more of those lists in the years to come, but we’re not in it for the trophies. We’re committed to culture because it keeps us connected to each other and invested in our shared success while having a blast along the way. Our employee-founded resource groups create communities within Arrive’s walls, including Women in Logistics, Emerging Professionals, Prisms, Black Logistics Group, Salute and Unidos. Notice: To ensure a safe and transparent interview process, we want to note that Arrive Logistics adheres to strict recruitment practices. Candidates undergo an interview process, and Arrive Logistics does not provide unsolicited job offers. If you have concerns about receiving a fraudulent offer, please contact talentacquisition@arrivelogistics.com for verification.

Company Description Govini transforms Defense Acquisition from an outdated manual process to a software-driven strategic advantage for the United States. Our flagship product, Ark, supports Supply Chain, Science and Technology, Production, Sustainment, and Modernization teams with AI-enabled Applications and best-in-class data to more rapidly imagine, develop, and field the capabilities we need. Today, the national security community and every branch of the military rely on Govini to enable faster and more informed Acquisition decisions. Job Description We are seeking a Data Science Manager who will be responsible for managing the development of predictive statistical models using both data from Govini’s National Security Knowledge Graph and data provided by our Government customers. These models will include general statistical models, simulation models, and machine learning implementations. You will be responsible for the management of a team of existing data scientists as well as growing this team. You will collaborate with Product, Sales, and Engineering in a cross-functional capacity to deliver high-quality, decision-grade data and analytics to our National Security customers. You will work with our customers directly to better understand their key challenges. You thrive under pressure and are eager to solve new challenges. You are passionate about recruiting and developing top data science talent. You are a technology and data nerd who strives to always deliver the best product to our customers. In order to do this job well, you will push the boundaries of data science and always look for new ways to leverage models to drive new insights and customer value. You won’t hesitate to identify problems and take the lead in finding the answers. You are a self-starter who leads by example. You are a creative, out-of-the box thinker who shares our passion and obsession with problem-solving. As part of our team, you must have a strong understanding of the various fundamentals of data science and analysis, including machine learning. You excel at translating business problems into data science problems and bringing data to life. This role is a full-time position located out of our office in our Pittsburgh, PA office. This role may require up to 50% travel. Scope of Responsibilities Manage the teams of data scientists to execute predictive indicator development and configuration Partner with external client teams to understand their business problems and work with them to create data-driven solutions, to be hosted on the Govini Defense Software Application, Ark.ai Understand our data assets on a detailed level and train others; you are the data subject matter expert Constantly seek out new tools to deliver scope faster with higher quality Become an expert in the National Security domain, and speak from a position of authority to internal and external customers as it pertains to leveraging Govini data and analytics Hire the best talent and continuously train, coach, and mentor your team members to grow and perform at their highest level Apply advanced statistical, AI/ML, and predictive modeling techniques to build, maintain, and improve on indicators and models to help customers proactively manage risks and identify opportunities Constantly innovate and never settle for the status quo Participate in end-to-end software development, on an agile team in a scrum process, collaborating closely with fellow software, machine learning, data, and QA engineers Qualifications U.S. Citizenship is required Required Skills: Master's degree in Statistics, Computer Science, or a related technical field Minimum of 5 years of direct, hands-on data science work including machine learning model development, statistical analysis, indicator development, and related programming languages such as Python and R Minimum 2 years of people management, specifically running data science, software/data engineering, or other technical teams Experience in a customer-facing data science role as an individual contributor or manager SQL mastery Experience with Git source control management Experience developing and deploying business intelligence (BI) tools and insights to both internal and external customers Understanding and appreciation of the product management discipline; ideally you have worked within a product organization in your past experience Strong communication skills, across all levels of the organization Experience with developing and maintaining Data Science solutions in AWS environments A burning desire to work in a challenging, fast-paced environment and grow professionally Desired Skills: Current possession of a U.S. security clearance, or the ability to obtain one with our sponsorship Experience in or exposure to the nuances of a startup or other entrepreneurial environment Experience and interest in National Security Experience working on agile/scrum teams Experience with major NLP frameworks Familiarity with big data frameworks (e.g., HDFS, Spark) and AWS We firmly believe that past performance is the best indicator of future performance. If you thrive while building solutions to complex problems, are a self-starter, and are passionate about making an impact in global security, we’re eager to hear from you. Govini is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.

Clio is more than just a tech company-we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice. Summary: Imagine being the Director, Data Science at Clio, the legal software company that is on a mission to revolutionize the legal experience for everyone. Reporting to Senior Director, Head of Data & Analytics, you will be responsible to build predictive and prescriptive solutions to enhance Clio's operations in marketing, sales, post-sales, and product development. In this role, you will partner with senior business leaders across go-to-market and product teams to identify opportunities for predictive and prescriptive data-driven solutions. You will lead development of advanced analytics and machine learning solutions for revenue forecasting, churn and cross-sell propensity modeling, pricing optimization, sentiment analysis, to name a few, and establish best practices for building modular reusable assets, to enable timely, robust, and rigorous analyses. You will mentor data science teams and collaborate with cross-functional stakeholders to deploy these solutions in practice and achieve the business impact. Your mission is to build the centre of excellence for data science, and to partner with senior leaders across Clio to make reliable, timely, and effective data-driven decisions! What you'll work on: Define and implement Clio's data science strategy that aligns with Clio's business objectives, including revenue growth, customer retention, and operational efficiency Establish an impact-driven prioritization framework and a comprehensive data science roadmap, with clear business cases for all initiatives Lead, manage, mentor, and grow a team of data scientists, and establish clear technical and professional development plans Foster strong collaboration across the Data & Analytics org, including with data modeling, business intelligence, data engineering, and operations analytics teams Partner with product teams to embed predictive and prescriptive analytics to improve customer experience and product adoption Be an active participant and contributor on the Business Operations Leadership Team and Extended Leadership Team (comprised of senior leaders Director+) Expand existing data science models to analyze customer behavior and predict their needs, interest, and readiness, and enable go to market teams to tailor their strategies Deploy machine learning models in production, ensuring scalability, reliability, and continuous monitoring of their performance Keep up-to-date with the latest developments in AI, and establish Clio as a thought leader in reusable data and analytics solutions, actively implementing and contributing to industry best practices Serve as a strategic voice and partner for senior leaders and executives, including educating the business on best practices and path to implement repeatable analytics and reporting About you: Graduate degree in Computer Science, Engineering, Statistics or a related field. 10+ years extensive experience building and scaling a data science function in a high-growth environment 10+ years extensive experience managing data, analytics, and engineering teams with 10+ direct and indirect reports 15+ years extensive hands-on experience with a wide range of data science and machine learning techniques, including classification, regression, time series forecasting, natural language processing, and unsupervised learning Experience reporting and presenting to senior business stakeholders Experience leading go-to-market initiatives and partnering with product development teams Experience with putting data science solutions in production and maintaining them Strong storytelling skills with the ability to coach and teach best practices, and to explain technical analyses to non-technical audiences Bonus points for: High level of business acumen obtained through professional experience or certification MBA, CFA, PMM Experience in SaaS or legal industry Experience with unstructured data and graph data structures What you will find here: Compensation is one of the main components of Clio's Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture. Some highlights of our Total Rewards program include: Competitive, equitable salary with top-tier health benefits, dental, and vision insurance Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office minimum 2 days per week on our Anchor Days. Flexible time off policy, with an encouraged 20 days off per year. EAP benefits for you and household members, including counseling and online resources 401k matching and Child Education Savings Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years The full salary range* for this role is $240,700 to $300,800 to $360,900 USD. Please note there is a separate band for those in the San Francisco / Bay Area. For those outside the United States, there are a separate set of salary bands for other regions.. In addition, this role is eligible for variable pay that is based on company performance, with actual payout amounts calculated and paid on a quarterly basis. We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Clio. The final offer amount for this role will be dependent on individual experience and skillset of the candidate. Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply. Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs. Learn more about our culture at clio.com/careers

The Senior Manager, Member-Centric Analytics works with stakeholders to formulate, gauge, and prioritize business use cases by designing experiments, predictive/prescriptive models on large-scale datasets to address them. The person in this role will use statistics, complex analyses, and machine learning models to drive member value and business success. Cooperating with the Machine Learning and IT DevOps teams the Senior Manager, Member-Centric Analytics will ensure operationalization and productization of solutions generated at an Enterprise level. Here's what you can expect from the job and what you need to be successful: Job Duties Engage with business stakeholders and create meaningful and productive relationships with them to drive business change management, effective communication of analytics, and insights implementation to actions Act as a subject matter expert in providing technical guidance and mentorship to peers on analytics and analysis best practices, solution design, as well as lead code/design reviews Through initiation and driving of projects, provide meaningful insights using advanced analytics models and solutions targeted to respond to critical business issues and accelerate stakeholder growth and success Partner with cross-functional teams to identify and prioritize actionable, high-impact insights across a variety of core business areas Deliver informative and effective findings, results, and recommendations from statistical analysis to stakeholders Develop and lead a team of high-performing and engaged employees through effective people leadership practices including regular communication of performance expectations and feedback to employees to maintain high team performance; provide coaching and corrective action as required; actively support employee professional growth and development Meet established department metrics; update leader on all major projects and goal progress; research, resolve and communicate operational and employee issues to leader or other business units as appropriate Research, design, implement and validate cutting-edge algorithms/models analyzing diverse data sources to achieve targeted outcomes Process, cleanse, and verify the integrity of data and the data pipelines used for analysis Plan and implement experimental designs, performing statistical analysis on experimental data linked to Credit Union campaigns Initiate and drive projects to completion, including supporting stakeholders in the integration of advanced analytics assets into their operational processes Recommend ongoing improvements to methods and algorithms currently in production Essential Skills Minimum 8 years' professional experience in a data science role, working with large amounts of data, and implementing end-to-end (inception to productization) solutions in the financial services industry 3+ years of managing and leading a team of data scientists; preferably in the financial services industry Expert knowledge in coding; current hands-on experience in writing, reviewing, and/or correcting code within SQL, Python, and/or Spark Expert knowledge of SQL and databases and demonstrated, recent hands-on experience with data science Expert knowledge and experience in NLP, LLMs, predictive and prescriptive analytics approaches Deep understanding of machine learning (ML) techniques including but not exhausted to clustering, classification, regression, decision trees, neural nets, support vector machines, genetic algorithms, anomaly detection, association rules, sequential pattern discovery and deep learning Demonstrated experience with common business intelligence and data visualization tools (Tableau preferred) Demonstrated experience with cloud-based Data Science platforms (Dataiku Data Science Studio preferred) Professional experience with cloud technologies (AWS, Azure, SaaS, MLaaS, AIaaS) Proficiency in the use of scripting languages and ML platforms (Python, Spark, Snowpark, TensorFlow, R) Experience with Snowflake preferred Demonstrated experience with containers (Kubernetes, Docker), Git Expert command of the English language, persuasive written and verbal communication and an ability to effectively tell stories with data Comfortable with steering ambiguous projects toward clear business goals, testable hypotheses, and action-oriented outcomes Ability to anticipate needs and prioritize projects in a fast-paced environment with tight deadlines and high-volume peaks while producing high-quality work Exemplary communication skills; oral and written, with ability to translate complex statistical and quantitative analysis into simple real-real world inferences, telling the story through data, for both technical and non-technical audiences Expert level analytical and problem-solving skills with attention to detail Ability to motivate a team and operate effectively in an environment with high volumes and tight deadlines across a variety of business partners and technical contributors Ability to translate business objectives into actionable analyses Advanced knowledge of Microsoft Office Suite Minimum Education:Master's or PhD degrees in Mathematics, Statistics, Data Science, Econometrics, or relevant fields Certification/License: Data Science related certifications required Location: Hillsboro, OR 97124 | (HYBRID) Target Compensation in Hillsboro, OR: $165K - $180k annually + annual bonus Benefits options include: Traditional medical, dental, and vision coverage 401K matching up to 5% per pay period Accrue up to 17 days of Paid Time Off your first year of employment 11 paid federal holidays Special employee pricing on lending products such as mortgage, auto, and personal loans (eligibility for special employee pricing is subject to standard account requirements and underwriting criteria) What makes First Tech different? Click here to learn more! First Tech MAY consider Visa sponsorship for this position, but only for existing H1B (NO NEW). #LI-KW1

As an Associate Analyst on the Marketing Sciences team, your curiosity never ends. You wonder about the application of data to digital experience, and you are eager to contribute to marketing science deliverables across a broad range of initiatives (e.g., website analytics, data visualization, data integration, data engineering, and data management). You are able to define and apply a logical approach to data management and analysis, moving data from point A to point B in the right shape at the right time, and enjoy collaborating and learning with others. You will: Automate manual processes using SQL, python, etc.

Hi, Title – Sr. Software Engineer – Data Science Position – Fulltime Location – Boston, MA Salary - $Open (Best Possible) Minimum Qualifications: Bachelor’s degree in Computer Science, Engineering, Math, or related technical/science field 5+ years of software engineering experience 2 years data science / machine learning experience Requirements Preferred Qualifications: Significant experience with Python and Python data stack Professional experience with the “PyData” stack – e.g. NumPy, pandas, matplotlib, Jupyter Notebook Experience with Java and Apache Spark Nice to have: experience in healthcare analytics; experience in Apache Spark Note: If interested please send your updated resume and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us. We look forward to hearing from you at the earliest!.

Acclaim Technical Services, founded in 2000, is a leading language, operations, and technology services company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow.   Our Defense & Homeland Security Division, based in Hanover, MD is seeking multiple NCU Data Science  Instructors with current TS/SCI with polygraph to deliver engaging, mission-aligned training for analysts operating in critical environments. The ideal candidate will translate complex concepts into accessible, meaningful instruction that empowers analysts to enhance their operational effectiveness and develop deeper competencies within their mission areas.   Key Responsibilities: Deliver interactive training sessions aligned with evolving mission requirements. Facilitate learning that helps analysts reach new levels of insight and performance. Adapt instructional methods to suit diverse learner needs and skill levels. Provide hands-on tutoring to analysts in respective technical subject areas. This would include one-to-one training sessions, quarterly seminars and virtual training support to include resolving course content issues and student questions. Collaborate with subject matter experts and leadership to refine course content and training as needed. Maintain an up-to-date understanding of mission areas and evolving analyst skill sets.   Required Qualifications: Teaching experience in relevant data science topics to include: visual data, Jupyter Notebooks, MS Excel formulas, Python, machine learning, data preparation, NetFlow, NLP, and Cyber Network Defense . Proven experience instructing or training professionals in mission-driven environments. Deep understanding of analytical tradecraft and intelligence or operations workflows. Exceptional communication and facilitation skills. A minimum of thirty-six (36) months relevant experience in the technical skill/area of expertise for which they are to provide training (Network Architectures of land-line, cellular, and satellite telephony systems, Cell phone operating systems, Satellite communication systems, Computer –to-computer network communication, Target Research, Tool fundamentals and other analyst tools, Geolocation Analysis, Social network Analysis, Network Characterization, Reporting Policies, Technical Reports, Data Science, etc.) . Adjunct Faculty certification is preferred. Current TS/SCI with polygraph clearance required.   Pay Range: There are many factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families.   At ATS, you will be eligible to participate in a comprehensive benefits package such as: healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here Employee Resources . Equal Employment Opportunity / Affirmative Action ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status. Powered by JazzHR

We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming. Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges of your career. They’re worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers. The Crown Is Yours We are looking for a Lead Data Science Engineer to join our Sportsbook Reinvestment team, where we focus on understanding and optimizing how players engage with our Online Sportsbook products over time. As a Lead Data Science Engineer, you will be responsible for building advanced models and algorithms, analyzing large-scale behavioral datasets, and driving measurable impact through experimentation and productionized solutions. What you'll do as a Lead Data Science Engineer Lead end-to-end modeling projects to improve customer engagement and retention, from ideation to production deployment. Build, test, and optimize machine learning models to forecast user behavior, personalize promotions, and enhance Sportsbook product engagement. Partner with engineers, analysts, product managers, and marketers to translate insights into scalable solutions embedded within customer-facing systems. Mentor junior data scientists and share modeling and engineering best practices across the team. Clearly communicate findings and the impact of your models to stakeholders to influence product and marketing strategy. What you'll bring Proven experience applying machine learning and statistical modeling to solve real-world business problems, ideally in marketing or customer lifecycle contexts. Experience leading and coaching other data scientists Strong proficiency in Python (or R) and experience working with large datasets using SQL and distributed computing platforms. Ability to structure and execute data science projects and deliver business value through production-ready models. Excellent communication and collaboration skills to work effectively across technical and non-technical teams. A Bachelor’s degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline. Join Our Team We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 140,800.00 USD - 176,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Supporting X323 Tradecraft innovation team - Experience creating analytics leveraging Access Discovery and CNE experience is required. Will need to have familiarity with AMOD query tools.

Graduate Management Admission Council (GMAC™) is a mission-driven organization, with a vision to be the global leader in ensuring every talented person can benefit from the best business education for them. The organization’s priority is to heighten its impact in promoting graduate management education and attracting a qualified and diverse candidate pool from around the world. The Director, Research and Data Science is responsible for overseeing the department and supporting the Council’s commitment to disseminating actionable and relevant information about the management education community. FLSA Status: Exempt Report to: Senior Vice President, School & Industry Engagement GMAC’s value proposition offers our talented employees the ideal climate for innovation, and colleagues who are motivated and proactive, with diverse backgrounds and approaches. As a global organization, we understand and appreciate the benefits of myriad cultural perspectives. GMAC is wholly committed to recruiting, developing, and retaining a diverse group of talented people, and providing equal employment opportunities to all employees and applicants without regard to the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, disability, sex (including pregnancy, childbirth, and related medical conditions), marital status, veteran status, sexual orientation, gender identity, genetic information, or any other characteristic protected by applicable federal, state or local laws.

SUMMARY :  The Data Science Developer is responsible for understanding the business problems, identifying/applying the right AI or cognitive computing technologies to solve problems, and is involved in the formulation and execution of technology solutions. ESSENTIAL FUNCTIONS AND RESPONSIBILITIES Collect, preprocess, and analyze large datasets to identify patterns and features. Develop and apply machine learning algorithms to improve diagnosis accuracy and reduce false positives. Work with cross-functional teams, including radiologists, medical professionals, and software engineers, to develop and test new algorithms and models. Design and develop software tools and frameworks to automate the processing and analysis of medical images. Implement deep learning architectures for image analysis and classification tasks. Participate in the design and implementation of clinical studies to evaluate the performance of developed algorithms and models. Ensure that developed models and algorithms meet regulatory and quality standards Keep up-to-date with the latest trends and technologies in the field of medical imaging and data science. REQUIRED EDUCATION AND EXPERIENCE 5 years of experience in the development and integration of complex imaging systems and/or medical image diagnosis software Experience in developing with C++ Knowledge of DICOM development and troubleshooting experience Prior experience developing healthcare components (PACS, VNA, RIS) and workflows Experience with C++, C#, Python, machine learning B.S. in Computer Science or related field. An M.S. or PhD is a plus     Powered by JazzHR

COMPANY Our client is a world leading manufacturing and distribution organization that creates innovative, high performance industrial surfaces. The company has been in business for over 60 years and is headquartered in Austin, Texas. It manufactures and distributes engineered surface options for use in furniture, office and retail spaces, countertops, worktops and other applications. They do business in more than 90 countries.   POSITION SUMMARY We are looking for a Data Science Architect (Digital Marketing) who will work as a team member of the Global Digital Services team to lead, execute, and establish the data, analytics, and customer integration platforms that empower the marketing function to engage with, gain holistic insights into, and perform analysis related to customer perception, preferences, and behavior, to drive marketing qualified leads, and revenue outcomes. The ideal candidate will be adept at linking traditional (structured data) as well as new (unstructured) data types related to audiences and customers and establishing the customer data integration framework. The candidate 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. They must have a proven ability to articulate potential business results with their databased analysis, dashboards and insights; and must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions available in data sets and working with stakeholders to improve business outcomes. This person must have strong technical, functional, project management, and communication skills.   KEY ROLE & RESPONSIBILITIES Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Understand and drive organizational change management to enable user adoption. Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. This would also involve tagging, aggregating, segmenting, trending the data to transform it into reports and dashboards. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Establish the customer data integration framework / unifying customer data from different structured and unstructured sources using the tools provided by Salesforce/Adobe/Snowflake and the likes Structured: CRM, online registrations, email campaigns, B2B, other lists Unstructured: social media, consumer reviews/blogs, forums, user behavior etc. Develop data models and AI and ML algorithms to apply to data sets. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting, effective lead generation and other business outcomes. Develop company A/B testing framework and test model quality. Collaboration with vendors, system integrators, on-shore/off-shore partners, etc. Coordinate with different functional teams to implement models, monitor outcomes, and develop processes and tools to monitor and analyze model performance and data accuracy.   KNOWLEDGE, SKILLS & ABILITIES Strong problem solving skills with an emphasis on product development. Excellent written and verbal communication skills for coordinating across teams. Experience using statistical computer languages to manipulate data and draw insights from large data sets. Familiarity with marketing automation tools like Adobe Marketo or Salesforce Marketing Cloud. Knowledge of a variety of machine learning techniques and their real-world advantages/drawbacks. Familiarity with integrations between systems for key data elements using web services or point-to-point. Knowledge of Scrum and Agile methodology, a plus.   REQUIRED EDUCATION & EXPERIENCE Education: Bachelor Degree Required Degree in Statistics, Mathematics, Computer Science or another quantitative field Experience: 5-7 years of experience manipulating data sets and building statistical models, and is familiar with the following software/tools: Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc. Experience with marketing automation tools like Adobe Marketo/Adobe Experience Cloud or Salesforce Marketing Cloud/Salesforce Pardot or similar. Knowledge and experience in statistical and data mining techniques. Experience querying databases and using statistical computer languages like Python. Experience analyzing data from 3rd party providers: Google Analytics, Adwords, Social media portals, Insights, etc. Experience with data query tools like MySQL Experience visualizing/presenting data for stakeholders. Working knowledge of AI & ML algorithms, and tools such as SageMaker Powered by JazzHR

Data Science and Analytics Manager Who we are:      AMOpportunities is the pioneer of CTaaS, Clinical-Training-as-a-Service, and the preferred clinical training provider for healthcare trainees worldwide. Our platform provides a comprehensive solution to clinical training capacity and access issues. Through our software and services, hospitals can earn revenue and attract new talent without expending additional resources. Educational institutions can benefit from our software and services too with guaranteed U.S. training which meets their unique curriculum requirements and allows for expanded student enrollment.      The creation of this unique software and our services is inspired by the growing global shortages of healthcare professionals. We’re changing the future by providing a learning model that empowers healthcare trainees to learn and work anywhere. Over 3,200 medical trainees have benefited from our 250+ clinical experiences. We’re breaking down traditional borders and building the future of healthcare education.  Frequently cited statistics show that women and underrepresented groups apply to jobs only if they meet 100% of the qualifications. AMOpportunities encourages you to apply even if you do not meet all listed qualifications. We look forward to your application.   About the position:  The Data Analytics Manager is responsible for analyzing mission-critical company sales, operational, financial, and product data to provide actionable business insights, KPI tracking, and analytics tools for decisionmakers, overseeing day-to-day reporting, analysis, and development of data visualizations to optimize company performance. This includes converting raw data across several business systems and verticals into meaningful and digestible reports and insights, and development of an integrated data strategy in conjunction with leadership. Reports to the Chief Operating Officer and will provide support to other departments, as directed.   While this position can be fully remote, we are looking for candidates to be residents of Illinois, Ohio, Michigan, Indiana, New York, Florida, Minnesota, Pennsylvania, or Alabama only. Essential Functions:  Support primarily the Customer Success, Program Operations, and Clinical Recruitment teams and, as directed, the Sales, Business Development, Marketing, Technology, and Finance teams, and other key stakeholders with detailed visibility into all aspects of business performance   Prepare and deliver analytics and insights to help make data-informed decisions across markets, departments, and verticals  Create and maintain accurate and easy to understand dashboards and interactive visual reports using Hubspot, Tableau, Elastic Search Kibana and other tools to analyze inventory, customer preferences, operational efficiency, financial performance, and sales/marketing data and help interpret results to drive strategic business decisions   Responsible for generating standard and custom reports for stakeholders and synthesizing data and insights   In collaboration with the Sales Operations leader, perform administrative and superuser functions for the CRM system (Hubspot) and other digital tools (ex: adding and removing users, monitoring data feeds, updating data values, adjusting workflows, creating new reports, dashboards, update & maintain HubSpot data, etc.)   In collaboration with Tech and Operations, develop protocols and best practices for data cohesiveness, cleanliness, and quality, as well as appropriate use (ex: standardizing data uploads, list naming conventions, etc.)  In collaboration with the Sales Operations leader, research, identify, and implement testing of new CRM releases/features and communicate and train existing users on new features   Utilize data to identify areas of improvement across multiple departments  Serve as liaison between Customer Success, Program Operations, Clinical Recruitment, BD/Sales and the Technology team on implementation of new technologies to support the teams and other stakeholders, as needed  Collaborate with the BD, Sales, Customer Success and Clinical Recruitment teams to review and develop systems to prioritize customer and lead lists and associated workflows   Communicate appropriate organizational information during department meetings, one-on-one meetings, and other reporting venues  Develop tooling in platforms like Elastic Search to provide acquisition, implementation, and operational teams with the ability to make queries and answer questions about their business data in a timely manner  Work with Technology to implement supervised & unsupervised ML, as well as LLM and agentic LLM solutions utilizing business data to generate value  Actively seek feedback with an open mind to gain a deeper understanding through data  Perform other duties as assigned   Education and Experience: Bachelor’s degree (in fields like data science or analytics, computer science, statistics, engineering or mathematics preferred) ; equivalent work experience may be considered in lieu of a degree   Experience in Data Analytics, Data Visualizations, and languages like Python, R, or Stata    Minimum of 5 years working with data visualization tools such as Tableau, or in a Data Analyst role  Experience and comfort with using supervised and unsupervised ML to answer business questions, knowledge of when to use a specific ML modality  Experience deploying projects created with, or integrating leading LLMs (Gemini, Perplexity, Claude, GPT, etc.), especially developing agents for business and product use cases   Knowledge of the structure of healthcare systems and medical/nursing education, a plus    What You Gain:  Competitive salary of $95,000 - $120,000 annually Comprehensive Benefits Program: Medical, Dental, Vision, 401k, Tax Exempt Student Loan Repayment, and Commuter Benefits. A mission-driven work environment committed to a spirit of support, growth, and achievement.  Performance-based career growth opportunities  A front-row seat for the exponential growth of a booming education tech company  Work/life balance    Equal Opportunity Employer     At AMOpportunities we champion the reality of diversity and the necessity of inclusion and accessibility. We are deeply committed to the principle of equal employment opportunity for all employees, and to providing our employees with a work environment free of discrimination and harassment. We strictly prohibit discrimination and harassment based on disability, gender identity, gender expression, pregnancy status (including childbirth and related states), sexual orientation, race, color, social or ethnic origin, religion, age, HIV status, past/present military service, or any other status protected by federal, state, or local law.   Powered by JazzHR

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills . Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. Key Responsibilities: 40% People Management & Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments 25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts 15% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management 20% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged Direct Manager/Direct Reports: This position typically reports to Senior Manager or above This position has Direct Reports & manages programs Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: 9+ years of experience in business intelligence and analytics Previous people or project team management experience Expertise in predictive modeling, data mining and data analysis Mastery running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Mastery utilizing statistical techniques to identify key insights that help solve business problems Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Demonstrated proficiency in predictive modeling, data mining and data analysis Experience managing and growing team members in a professional setting Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 8 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Directs Work: Provides direction, delegating and removing obstacles to get work done Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity Interpersonal Savvy: Relating openly and comfortably with diverse groups of people Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Persuades: Using compelling arguments to gain the support and commitment of others Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies

Location(s): United States of America City/Cities: Atlanta Travel Required: 00% - 25% Relocation Provided: No Job Posting End Date: August 6, 2025 Shift: Job Description Summary: The Director of Data Science & Analysis will lead collaborative efforts with the Portfolio Strategy & Human Insights (PSHI) team to develop solutions and processes that leverage data in innovative ways, employing exploratory and confirmatory analytics as well as AI. This role will liaise closely with the global shared platform services team and will be pivotal in instigating organizational transformation by blending business insight with expertise in data and analytics. You will serve as a unifying force, overseeing the entire analytics process for our PSHI teams. This role will be pivotal in pinpointing opportunities for value creation by transforming data into actionable insights. In this role, you will also work closely with data engineers and other data scientists to shape the target state data vision and roadmap for the Portfolio Strategy & Human Insights (PSHI) team. . This role is central to fostering an analytical mindset and will hold responsibility for the evolution and enhancement of analytical methodologies, emphasizing the innovation of new and the refinement of existing algorithms. The Ideal candidate will possess substantial, hands-on experience in data querying, analytical programming, statistical programming, and visualization. They should excel in transforming raw data into insightful visual representations and have a profound understanding and practical experience in various analytical and statistical approaches. The candidate should be adept at both innovating new methodologies and optimizing existing ones, ensuring the delivery of actionable, data-driven insights. Demonstrated ability to leverage learnings from deep analytics to business marketing applications is also required. Key Responsibilities: Provide leadership for all data science initiatives within the Portfolio Strategy & Insights team – working closely with shared services (platform services) and external partners. Develop and implement advanced statistical models and machine learning algorithms to analyze consumer and shopper behavior, identify consumer segments, and predict future consumer trends. Guide the team in analyzing, visualizing, and interpreting complex data sets to provide actionable insights into our consumer and shoppers. Lead some of the key projects for NAOU marketing team , working closely with external partners. E.g. of projects – marketing mix model, modeling customer loyalty data for understanding trends, growth pathways for brands leveraging multiple databases etc Stay updated with the latest industry trends, techniques, and methods within the field of Data Science. Help build data science capabilities within NAOU PSHI and Marketing teams. Qualifications : Bachelor’s / Master’s degree in a relevant field (e.g. Analytics, Computer Science, Mathematics, Statistics, Data Science, Economics) 10+ years of work experience in a data-centric business environment – understanding of marketing, consumer, CPG will be an added advantage. Familiarity and understanding of market research/survey and qualitative data sets is a plus. Extensive hands-on experience in building scalable models in R, Python etc and experience with cloud services like AWS, Azure, or Google Cloud Platform and leveraging them for deploying models and handling data. Expertise or demonstrable knowledge in Statistics / Machine Learning / Data Science Familiarity with big data technologies and frameworks like Hadoop, Spark, and experience with processing large and diverse datasets. Hands-on experience in deploying scalable models in production environments, integrating them with other business systems to maximize their utility. Proven comfort and an intellectual curiosity for working with large sets of data to address identified and sometimes undiscovered business needs. Demonstrated ability to use software to manipulate data, prototype new tools, and extract actionable insights from that data. Capable of presenting outcomes of analytic solutions in a format easily understood by a non-technical audience. The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States. Skills: Analytical Thinking, Cross-Functional Teamwork, Data Analytics, Data Driven, Data Science, Influencing, Machine Learning Algorithms, Market Research Consultancy, Storytelling Pay Range: $160,000 - $186,000 Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered. Annual Incentive Reference Value Percentage: 30 Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target. Our Purpose and Growth Culture: We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what’s possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors – curious, empowered, inclusive and agile – and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

Who we are. . . Pearl Health is powering the future of healthcare. We help primary care providers and organizations to deliver quality healthcare to the patients who need it most, when they need it most — and get rewarded for keeping patients healthy. Our technology, services, and financial tools enable better, more proactive care, decrease total cost of care across patient panels, and optimize performance in value-based care models for Traditional Medicare and Medicare Advantage. We are a team of physicians and public health experts (Stanford, Harvard, Mount Sinai), technologists (athenahealth, Amazon, Meta, Flatiron), healthcare innovators (Centivo, Aledade, Stellar, Arcadia), and experienced risk management professionals (CVS/Aetna, Humana, Oscar) who believe that primary care providers are the key to addressing our healthcare system’s biggest challenges. Since its founding in 2020, Pearl has expanded to partner with thousands of primary care providers in practices and organizations across 44 states. Our investors include Andreessen Horowitz, Viking Global Investors, AlleyCorp, and SV Angel. The role. . . As the VP of Data Science & Analytics (DS&A), you will be a pivotal leader within Pearl Health, reporting directly to the Chief Data Science Officer. You will lead a critical function responsible for shaping the strategic direction of our DS&A initiatives and research projects, helping DS&A leadership manage the day-to-day execution of those projects, and ensuring the delivery of high-impact solutions that drive business outcomes. This role demands a visionary leader with exceptional technical depth, a proven track record of building and scaling high-performing teams, and the ability to influence at an executive level. You will be responsible for establishing best practices and standards for the team’s research, stewarding the career development of talented managers and principal-level researchers, and fostering a culture of technical excellence and strategic impact within the DS&A organization. What you’ll bring. . . Strategic Leadership, Collaboration, and Vision : Partner with leadership across the company to establish and champion the DS&A team's priorities and ensure bidirectional strategic alignment. Work with these same leaders to deliver integrated, high-value, and timely solutions. Provide strategic guidance to DS&A leaders in managing complex projects, encompassing execution and critical cross-functional stakeholder alignment. Collaborate with the Chief Data Science Officer to define and evolve the team's multi-year research trajectory, identifying new opportunities and fostering innovation. Talent Leadership : Lead, mentor, and develop DS&A managers and Principal Data Scientists, fostering their professional growth and career progression so that they can harness the energy and talent of their reports to support Pearl’s mission. Technical Excellence & Research Taste : Cultivate and nurture exceptional research taste and technical rigor across DS&A leadership and their teams. Collaborate with the Principal Data Scientist and other senior talent in order to mentor, energize, and orient complicated and technically nuanced research. Operational Efficiency, Quality Assurance, & Risk Management : Collaborate with DS&A leadership and the Chief Data Science Officer to establish and refine internal systems and best practices, empowering the team to maximize impact by eliminating bottlenecks. Establish and refine robust frameworks to ensure the quality, rigor, and validity of team outputs are calibrated to business impact, risk, and regulatory considerations. Ensure all standard operating procedures (SOPs) adhere to statutory compliance standards and uphold a high ethical bar. Infrastructure & MLOps Partnership : Work closely with the VPs of Engineering and Technical Operations to envision, create, and maintain a robust, scalable, and secure MLOps environment, proactively addressing future infrastructure needs driven by research, product, and company growth. GenAI Application & Enablement : Pioneer the application of Generative AI (GenAI) within DS&A operations to amplify team impact and serve as a model for company-wide adoption. Organizational Development : Drive the long-term growth and evolution of the DS&A organization, including talent acquisition, retention, and succession planning, ensuring sustained capability to meet future business demands. Executive Communication : Communicate complex technical concepts and strategic initiatives clearly and persuasively to executive leadership, investors, and external partners, influencing critical decision-making. Who you are. . . 10-15 years of progressive experience in data science, analytics, or a related quantitative field, with 5-7+ years in senior leadership roles managing multiple teams. Advanced degree (Ph.D. or Master's) in a quantitative field (e.g., Data Science, Computer Science, Statistics, Mathematics, Operations Research, Physics) or equivalent practical experience. Proven track record of defining, building, and scaling high-performing data science and analytics organizations within fast-paced, high-growth environments. Deep expertise in advanced machine learning, statistical modeling, experimental design, causal inference, and/or large-scale data processing. A history of spearheading deep research initiatives in machine learning and analytics, with a proven ability to guide teams in delivering innovative, scalable, and production-ready models that drive significant business value. Exceptional leadership, communication, and interpersonal skills, with the ability to inspire, influence, and collaborate effectively with diverse stakeholders at all levels, including executive leadership and external stakeholders. Extensive experience establishing and refining data governance, MLOps, and quality assurance best practices. Strong understanding of data architecture principles and proven experience collaborating with engineering teams to build robust data and MLOps infrastructure. Experience in the healthcare domain is a plus. Our Values We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Our definition of diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. We believe all of our colleague’s points of view are integral to our success, and that inclusion is everyone's responsibility and a cause of beautiful things. We welcome candidates from all backgrounds and are committed to a fair hiring process free from discrimination and focused around problem solving, improvement, and mutual empowerment. Compensation and Benefits The salary range Pearl Health expects to pay for this position is between $240,000 - $280,000 per year. Full time employees are also eligible for annual discretionary bonus. Where a given candidate falls within that range will depend on a variety of factors, including, but not limited to, the candidate’s relevant skills, experience and location, labor market conditions and participation, if any, in other compensation arrangements. Pearl Health provides its employees a competitive benefit package - for more information please review our benefits page . Agency Submissions We are not currently working with contingency search firms. If a resume is submitted to any Pearl Health employee by a third party without a valid written and signed search agreement, it will become the property of Pearl Health and no fee will be paid, irrespective of whether the candidate is hired.