Auto-apply to these data science jobs

Many structural heart patients suffer from heart failure with limited options. Our Implantable Heart Failure Management (IHFM) team is at the forefront of addressing these unmet patient needs through pioneering technology that enables early, targeted therapeutic intervention. Our innovative solutions are not just transforming patient care but also creating a unique and exciting environment for our team members. It's our driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey. How you will make an impact: Looking for an enthusiastic and motivated manager for our growing Data Science Team. We have a constantly growing, unique and rich healthcare dataset and have big plans to leverage this for the betterment of our patients. Adopting a largely greenfield infrastructure & barebones group; build, mold & grow them into your ideal team. This is a very novel opportunity to lead the development of innovative solutions with massive impact on patients' daily lives. This is a people management role with the Data Science Manager tasked with building, leading and daily management of the Data Science team. This will encompass all aspects to ensure the success of the team in building new algorithms and models for internal use or deployed as product features for clinicians or patients. The manager will give direction, guidance and structure to the team while being at the center of hypothesis testing and experimentation. You will be empowered to deliver innovative, insightful & impactful features and projects. Additional Roles/Responsibilities: Hire, build and grow the data science team. Multiple expansion requisitions approved for FY'25 Manage, mentor and guide team members to excel at their roles. Build upon your own deep technical strengths to impart insight and guidance to the team. Contribute and constructively challenge technical proposals & requests. Handle team career development and annual reviews. Own the Data Science roadmap & project backlog. Use your project management skills to steer, manage and prioritize the Data Science Teams workload & projects. Aid distillation of complex technical approaches and progress into digestible presentations and updates to management & senior leadership. Liaise with immediate teams (Data Engineering, Data Analytics) and external groups to understand needs and requests while progressing your team's needs. Demonstrate good data governance practices and approaches equivalent to the risks and needs of the team. Ensure the highest levels of confidentiality and sensitivity for dealing with Patient Health Information [PHI] What you'll need (Required): Bachelor's Degree in Computer Science, Engineering, Biostatistics or Scientific field including either industry or industry/education- OR- Master's Degree or equivalent in Computer Science, Engineering, Biostatistics or Scientific field including either industry or industry/education- OR- Ph.D. or equivalent in Computer Science, Engineering, Biostatistics or Scientific field including either industry or industry/education Experience in technical leadership or management role Previous hands-on knowledge of mathematical principals, Statistics, Data Analytics and Data Science principles and their use with building models and insights What else we look for (Preferred): Experience as a Data Scientist, Statistician or other technical data related role strongly preferred Expert understanding of related aspects of machine learning, data science and artificial intelligence processes and/or systems Hands-on experience with working and analyzing clinical or patient data (an advantage) Demonstrated ability to manage one or more teams and provide coaching and feedback, including responsibility for all employee actions including hire/fire authority and partnering with HR on all aspects of employee relations (Experience leading Data Science, Data Analytics or Software Management teams is strongly preferred). Ability to develop and integrate metrics into the projects and operations that clearly demonstrate the value of machine learning, data science and artificial intelligence to the business Strict attention to detail Ability to interact professionally with all organizational levels Ability to work and excel within a fast paced, dynamic, and constantly changing work environment Ability to frequently interacts with internal and external management and senior-level stakeholders concerning projects, operational decisions, scheduling requirements, and/or contractual clarifications Ability to provide leadership and direction to cross-functional teams to successfully implement global enterprise systems and related solutions Adhere to all company rules and requirements (e.g., pandemic protocols, Environmental Health & Safety rules) and take adequate control measures in preventing injuries to themselves and others as well as to the protection of environment and prevention of pollution under their span of influence/control Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families. For Illinois (IL), the base pay range for this position is $118,000 to $167,000 (highly experienced). The pay for the successful candidate will depend on various factors (e.g., qualifications, education, prior experience). Applications will be accepted while this position is posted on our Careers website. Edwards is an Equal Opportunity/Affirmative Action employer including protected Veterans and individuals with disabilities. COVID Vaccination Requirement Edwards is committed to protecting our vulnerable patients and the healthcare providers who are treating them. As such, all patient-facing and in-hospital positions require COVID-19 vaccination. If hired into a covered role, as a condition of employment, you will be required to submit proof that you have been vaccinated for COVID-19, unless you request and are granted a medical or religious accommodation for exemption from the vaccination requirement. This vaccination requirement does not apply in locations where it is prohibited by law to impose vaccination.

WeRide is a leading, commercial-stage global company that develops autonomous driving technologies from Level 2 to Level 4. It offers an all-rounded product mix of Robotaxi, Robobus, Robosweeper, Robovan and Advanced Driving Solution to provide services. WeRide aims to develop safe and reliable driverless solutions to make our mobility and transportation safer, more affordable, and accessible. WeRide.ai Silicon Valley team is seeking a motivated Data Science Intern to join our Metrics Team. This role focuses on supporting the development and validation of L3+ Advanced Driver Assistance Systems (ADAS) and L4 Autonomous Driving (AD) Systems through foundational data analysis. As an intern, you will contribute to ensuring the safety and reliability of our autonomous technologies by assisting with data processing, data analysis, and statistical evaluation. What You Will Do: Data Processing : Extract, clean, and manipulate datasets using Python and SQL to support system performance assessments. Statistical Analysis : Apply advanced statistical methods (e.g., hypothesis testing, regression) to interpret behavioral data, identify trends, and evaluate system performance. Data Visualization : Create clear visualizations to communicate insights to engineers and stakeholders. Team Collaboration : Work with simulation, engineering, and product teams to integrate evaluation feedback. Requirements: Quantitative Degree : Current enrollment in a PhD program in Statistics, Applied Statistics, Biostatistics, Econometrics, Physics, Computer Science, Engineering, or related fields. Statistical Knowledge : Familiarity with advanced statistical concepts (experimental design, hypothesis testing, causal inference, time series analysis, etc). Programming Skills : Proficiency in Python and SQL for data tasks. Communication : Ability to explain technical findings to diverse audiences. Flexibility : Comfort collaborating across global time zones. What Happens Next: We’ll take a few weeks to review all applications. If we’d like to move forward with you, we’ll reach out to arrange the next steps, which may include an online assessment, a call with a recruiter, and 3 interviews with your future colleagues to better inform our decision. During the interview process, we aim to learn more about your skills, experiences, and motivators. Many of our questions will focus on understanding how you might operate here at WeRide. Please note that, due to the high volume of applications we receive, we’re unable to offer individual feedback during the interview process. We recognize that interviewing for a new role is significant, and we appreciate you considering WeRide as the next step in your career. Our Recruiting Team is here to support you throughout the interview process. Come join us and apply today! At WeRide , interns collaborate with industry leaders on impactful projects that drive meaningful results for the company. You'll apply your knowledge while gaining opportunities to expand your skill set. Our 12-week/ 3-month internship program begins in May or June 2025. Successful candidates must be available to work in the office five days a week. Interns will receive 1-on-1 mentorship, hands-on training, and engage in fun team-building activities as well as interactive workshops, enhancing both professional and personal growth.

ROLE SUMMARY Global Commercial Analytics (GCA) harnesses the power of data to drive robust analytical insights that inform some of Pfizer's most critical business questions. With colleagues across the globe, GCAs rigorous analytical expertise is depended on as the compass and decision support for the enterprise. Our dynamic, exciting team of subject-matter experts comes from diverse backgrounds and experiences, including market research, data science, digital analytics, finance, and consulting. As a team, we partner to turn data into meaningful insights that will have a direct impact on patient's lives and the future of Pfizer as a data-driven organization. The Director (T/L), Data Science is accountable for delivering data science driven strategic and tactical support for multiple brands. As a strategic partner to the US Commercial team, this person will develop and implement models and data-science derived insights that drive brands' strategic priorities. This will include driving the execution and interpretation AI/ML models, framing problems, and shaping solutions. Also, this person will help shape the brands' strategies and tactics by interfacing closely with Data Science Solutions team to develop bespoke AI/ML models to meet evolving needs and will also interface closely with sales-operations to drive execution. This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business. The successful candidate will join GCA colleagues worldwide that are constantly supporting business transformation through their proactive thought leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways. ROLE RESPONSIBILITIES Role definition and key accountabilities include, but are not limited to: Commercial Data Science and Insights Provide data science and insights to US Commercial teams to drive brand tactic decisions Act as strategic partner to frame, investigate, translate complex data related models, and answer key business questions related to the identification and evaluation of Commercial brand strategies and tactics Lead a team of Data Scientists and manage their career development. Connect machine learning models and insights together to identify Commercial brand opportunities and tactics to execute Guide stakeholders via compelling and persuasive story Strengthen the Brand and Sales teams understanding of marketplace performance and opportunities by analyzing impacts of brand strategies and tactics and partnering on data product solutions. Collaboration with other GCA and Analytics teams Partner with GCA IIS leads to incorporate data science capabilities and insights into analytics plans and recommendations Ensure alignment across GCA Data Science teams and Data Science Solutions teams to ensure cohesive activities with our stakeholders Partner with other analytic functions to advance the use of novel data sources, including RWD PROFESSIONAL CHARACTERISTICS Analytical Thinker: Understands how to synthesize facts and information from varied data sources, both new and pre-existing, into discernable insights and perspectives; takes a problem-solving approach by connecting analytical thinking with an understanding of business drivers and how GCA can provide value to the organization People's Manager: Manage a team of individuals and guide them on data science problem solving and story telling. Data and Information Manager: Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights Communicator: Can understand, translate, and distill the complex, technical findings of the data science team into commentary that facilitates effective decision making; can readily align interpersonal style with the individual needs of others Highly Collaborative: Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork Project Manager: Articulates scope and deliverables of projects and delivers analyses within timelines Self-Starter: Eager to take on new responsibilities and opportunities Technical Skills Fluent in English (written and spoken) Strong MS Excel and PowerPoint skills Experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques Experience in understanding brand content, strategy, and tactics Ability to effectively utilize dashboards and data products to derive insights Understands quantitative and qualitative research methodologies Experience in management of secondary data with application of real-world data Ability to partner with cross-functional teams (Commercial, Sales, Operations) to execute brand tactics Ability to connect, integrate and synthesize analysis and data into a meaningful 'so what' to drive concrete strategic recommendations for brand tactics. Capable of describing relevant caveats in data or in a model and how they relate to business question Education and Experience Bachelor's degree required, ideally in quantitative discipline like engineering or data science Or PhD Degree in a relevant field with good publication/research record and 5+ years of work experience 10+ years of work experience 7+ years experience in business analytics function, country strategy and/or strategic consulting Experience using data science models to solve problems in a business environment setting Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Other Job Details: Work location: Flexible; 2-3 days onsite/week Last Day to Apply: June 16, 2025 The annual base salary for this position ranges from $169,700.00 to $282,900.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 20.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Marketing and Market Research

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

RaceTrac Company Overview Job Description: The Data Science Architect is a senior technical leader within the Enterprise Strategic Analytics + Data Science team (ESADS), focused on the design, delivery, and deployment of advanced analytics and data science solutions. This role emphasizes technical depth and expertise to drive the execution of high-value data science initiatives while ensuring scalability, reliability, and alignment with organizational goals. The Data Science Architect collaborates with cross-functional teams to deliver solutions that solve complex business challenges and guide the data science team in developing robust methodologies and approaches. Responsibilities: Scope of Role: Design and oversee the implementation of data science solutions that address critical business needs and drive measurable outcomes. Act as the technical lead for data science projects, ensuring high-quality delivery of predictive, prescriptive, and optimization models. Develop frameworks and best practices for scalable and repeatable data science methodologies. Collaborate with Strategic Analytics Partners to align technical solutions with business priorities. Provide technical mentorship to the data science team, fostering the development of advanced analytical skills and innovative thinking. Day-to-Day Activities: Lead the design and coding of machine learning models, optimization algorithms, and advanced statistical analyses. Work closely with data engineers and solution architects to ensure seamless integration of models into production systems. Conduct thorough code and model reviews to ensure technical quality and alignment with business objectives. Stay up-to-date on emerging technologies, tools, and methodologies to maintain the team’s cutting-edge capabilities. Partner with cross-functional teams to ensure the successful implementation and operationalization of data science solutions. Expected Outcomes: Deliver high-quality, scalable, and robust data science solutions that directly contribute to business growth and operational efficiency. Establish a technical foundation for advanced analytics that supports ESADS in achieving its strategic goals. Enhance the team’s technical capabilities through mentoring, training, and the implementation of best practices. Complexities: Solve highly complex and ambiguous technical challenges that require innovative and scalable approaches. Balance multiple projects with competing priorities while maintaining focus on technical excellence and timely delivery. Navigate and integrate cutting-edge technologies to advance the organization’s analytics capabilities. Qualifications: Required Experience: Master’s or PhD in Data Science, Computer Science, Operations Research, Applied Mathematics, or a related field. 8+ years of hands-on experience in data science, with a focus on building and deploying machine learning and optimization models. Extensive experience with programming languages such as Python, R, and SQL, as well as tools like Databricks, TensorFlow, PyTorch, and cloud-based analytics platforms (AWS, Azure, GCP). Proven track record of delivering production-ready models that drive measurable business impact. Experience collaborating with cross-functional teams to operationalize data science solutions. Demonstrable experience with one or many of the following: Demand Forecasting, Flexible Segmentation (Customer, Performance, Weather, etc.), Network Optimization, Predictive Maintenance/Service, Predictive Customer Churn, Price Optimization, Risk Modeling, Marketing Mix Modeling, Customer Journey Analytics, Predictive Staffing Optimization, Staff Attrition/Retention Risk, Next Best Product/Offer, Customer Elasticity (Market Response Modeling), Assortment Optimization, Customer Loyalty Effectiveness/Optimization Beneficial Experience: Familiarity with advanced optimization techniques and their application to business problems. Consulting experience in analytics-driven industries, such as retail, logistics, or financial services. Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud, Palantir) and MLOps best practices. All qualified applicants will receive consideration for employment with RaceTrac without regard to their race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

Description Position at CFO Services *** DO NOT APPLY! THIS IS A TEST JOB POSTING Data Scientist Job Responsibilities: Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data. Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges. Lead data experiments tasked by the Data Science Team. Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts. Develop and implement statistical models. Work with Machine Learning engineering team to implement model. Analyzes problems and determines root causes. Helps identify company data assets and assists in defining data models. Works closely with all business units and engineering teams to develop strategy for long term data platform architecture. Qualifications / Skills: Machine learning, regression analysis, statistical testing Feature engineering and data cleansing Advanced analytical knowledge of data Conducting big data analysis Data conditioning Programming advanced computing Developing algorithms Developing software and data models Executing predictive analytics Education, Experience, and Licensing Requirements: 5+ years of professional experience Proficient with one or more programming languages (Python, R, Java, C++, etc.) Experience working with TensorFlow, SciKit Learn, NumPy, SciPy Experience working with NLP and BERT Experience implementing deep learning Specific examples using LSTM, RNN, and SVM a plus Git experience and Kubernetes a plus Experience working in AWS or Azure Demonstrated experience applying data science methods Experience implementing agile approach to artificial intelligence algorithm development "Neque porro quisquam est qui dolorem ipsum quia dolor sit amet, consectetur, adipisci velit..."

DS position in X32 as a support for a Natural Language Processing (NLP) project to accurately and automatically tokenize language data with spoken or written origins. This position involves developing automated solutions for the annotation of language data. This includes parts of speech information, and improved existing models by scoring performance against human-generated annotations for speech and text. The requirement involves NLP, machine learning (ML), data modeling, and programmatic optimizations where needed all while interacting with a premier agency system.

Job Description We are seeking a highly skilled and experienced System and Network Administrator to join our team at the School of Computing and Data Science here at Wentworth Institute of Technology. The ideal candidate will be responsible for maintaining, upgrading, and securing our organization's systems and network infrastructure. This role requires a deep understanding of both hardware and software systems, as well as excellent troubleshooting skills. The System and Network Administrator for the School of Computing and Data Science will play a critical role in ensuring the reliability, performance, and security of our IT environment. Responsibilities: Install, configure, and maintain servers, network devices, and other IT infrastructure components. Monitor system and network performance, identifying and resolving issues proactively. Implement security measures to protect the organization's data and network from cyber threats. Perform regular backups and disaster recovery procedures to ensure data integrity and availability. Manage user accounts, permissions, and access control for various systems and applications. Collaborate with other IT staff and departments to implement new technologies and solutions. Document system configurations, procedures, and troubleshooting steps for future reference. Stay up to date with industry trends and best practices in system administration and networking. Requirements: Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent work experience). Proven experience as a System Administrator, Network Administrator, or similar role. Strong knowledge of Windows and Linux operating systems. Proficiency in networking concepts and protocols (TCP/IP, DNS, DHCP, VPN, etc.). Experience with virtualization technologies (VMware, Hyper-V, etc.). Familiarity with cloud computing platforms (AWS, Azure, Google Cloud, etc.). Familiarity with firewall technologies. Excellent problem-solving and troubleshooting skills. Ability to work independently and collaboratively in a fast-paced environment. Strong communication and interpersonal skills. Relevant certifications (e.g., MCSE, CCNA, CompTIA Network+) are a plus. Position Details: This is a full-time, benefits-eligible, exempt position (37.5 hours/week). Inclusive Excellence at Wentworth Inclusive Excellence is one of the four pillars of the Strategic Plan . Actively and intentionally cultivating a diverse and culturally competent institution where each member has the opportunity and support to reach their full potential and make contributions to our campus community and beyond is Inclusive Excellence at Wentworth. To find out more about the Wentworth’s commitment to Inclusive Excellence, please visit the website https://wit.edu/about/inclusive-excellence . All applicants have the right to accessibility support and accommodations. To request accessibility support or accommodations, contact the Executive Director of Equity and Compliance, Catlin Wells, at wellsc1@wit.edu . E-Verify for Employment Eligibility Verification ( Form I-9) Wentworth participates in E-Verify. E-Verify is an internet-based system that compares information from your Form I-9 to records available to the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA) to confirm that you are authorized to work in the United States.

We are seeking a strategic, collaborative, and technically skilled Director of Data Science to lead and grow our data science team. In this role, you will shape the team's vision, foster an inclusive and high-performing culture, and drive impactful machine learning and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core products, services, and operations. The role will report to the VP of Data & Analytics. What You'll Do Leadership & Strategy Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes Act as a strategic advisor and thought leader, championing the adoption and responsible use of AI/ML across the organization Advocate for ethical, transparent, and compliant data use, upholding standards of fairness and accountability in all initiatives Team Development & Management Build, mentor, and lead a high-performing, collaborative team of data scientists Foster a culture of inclusion, innovation, and continuous learning within the team Set clear goals and development plans to support team growth and success Cross-Functional Collaboration Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value Analytical & Communication Excellence Translate complex, ambiguous problems into structured, actionable analytical solutions Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions Model Development & Operations Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs Standards & Best Practices Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability What You'll Need Minimum Qualifications 8+ years in data science or machine learning roles, including 3+ years in a leadership position Advanced degree (PhD/MS) in a quantitative field such as Computer Science, Statistics, Mathematics, or similar Proven experience deploying machine learning models at scale in production environments Preferred Qualifications Background in SaaS or experience working with B2B business models Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Deep understanding of statistical modeling, causal inference, and A/B testing Excellent communication and stakeholder management skills Familiarity with modern data stacks: cloud data warehouses (Snowflake, BigQuery), orchestration tools, and MLOps platforms Experience with NLP, recommendation systems, or time-series forecasting. Experience managing and growing technical talent Working Conditions & Travel Requirements Reliable internet access for any period of time working remotely, not in a Workiva office Up to 20% travel How You'll Be Rewarded Salary range in the US: $177,000.00 - $284,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic. We strongly encourage and welcome people from historically marginalized groups to apply. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-LP1

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

ABOUT OPORTUN Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. SUMMARY: We are growing our world-class team of mission-driven, entrepreneurial Data Scientists who are passionate about broadening financial inclusion by untapping insights from non-traditional data. Be part of the team responsible for developing and enhancing Oportun's core intellectual property used in scoring risk for underbanked consumers that lack a traditional credit bureau score. In this role you will be on the cutting edge working with large and diverse (i.e. data from dozens of sources including transactional, mobile, utility, and other financial services) alternative data sets and utilize machine learning and statistical modeling to build scores and strategies for managing risk, collection/loss mitigation, take-up rates and fraud. You will also drive growth and optimize marketing spend across channels by leveraging alternative data to help predict which consumers would likely be interested in Oportun's affordable, credit building loan product. RESPONSIBILITIES: Develop data products and machine learning models used in Risk, Fraud, Collections, and portfolio management, and provide frictionless customer experience for various products and services Oportun provides. Build accurate and automated monitoring tools which can help us to keep a close eye on the performance of the models and rules. Build model deployment platform which can shorten the time of implementing new models. Build end-to-end reusable pipelines from data acquisition to model output delivery. Lead initiatives to drive business value from start to finish including project planning, communication, and stakeholder management. Lead discussions with Compliance, Bank Partners, and Model Risk Management teams to facilitate the Model Governance Activities such as Model Validations and Monitoring. Lead, coach and partner with the DS and non-DS team to deliver results QUALIFICATIONS: A relentless problem solver and out of the box thinker with a proven track record of driving business results in a timely manner Master's degree or PhD in Statistics, Mathematics, Computer Science, Engineering or Economics or other quantitative discipline (Bachelor's degree with significant relevant experience will be considered). Hands on experience leveraging machine learning techniques such as Gradient Boosting, Logistic Regression and Neural Network to solve real world problems 8+ years of experience in leveraging modern machine learning toolset and programming languages such as Python 8+ years of hands-on experience with data extraction, cleaning, analysis and building reusable data pipelines; Proficient in SQL, Spark SQL and/or Hive Excellent written and oral communication skills Strong stakeholder management and project management skills Comfortable in a high-growth, fast-paced, agile environment Experience working with AWS EMR, Sage-maker or other cloud-based platforms is a plus Experience with HDFS, Hive, Shell script and other big data tools is a plus #LI-PR1 #LI-Remote We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/ . We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI's Internet Crime Complaint Center (IC3).

Who is Nexxen? Flexible advertising, unified by data. Nexxen empowers advertisers, agencies, publishers and broadcasters around the world to utilize data and advanced TV in the ways that are most meaningful to them. Our flexible and unified technology stack comprises a demand-side platform ("DSP") and supply-side platform ("SSP"), with the Nexxen Data Platform at its core. With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. Why join the Nexxen team? With a global footprint, you can be part of a team that is transforming advertising through our creative, flexible and unified solutions. Employees hustle, commit and dedicate themselves to pillars that make up the Nexxen Way - the 3Cs - Customer Centric, Curious Mindset, Collaborative with No Ego. Nexxen is seeking a Senior Product Manager with deep experience in managing complex, technical product features-especially those powered by AI and machine learning (ML)-within our Supply Side Platform (SSP). You will be at the forefront of driving innovation by identifying high-impact problems where AI/ML technologies can unlock revenue potential, increase operational efficiency, and deliver intelligent automation. As a Senior Product Manager, you will lead initiatives across the full AI product lifecycle-from opportunity identification and model integration to performance evaluation and continuous improvement. You will work closely with engineering, data science, and business stakeholders to define, deliver, and iterate on AI-powered capabilities that scale and differentiate our platform. This role will be based in the Bellevue office. Our team follows a hybrid schedule, working in the office three days a week and remotely for the rest. Each day can be different here at Nexxen, but some of the things you can expect to be doing daily are: What you'll do: Deeply understand the needs of our business and customers to define resilient, intelligent, and scalable product solutions Champion the discovery, definition, and prioritization of AI and ML features that enable better yield optimization, traffic prediction, and fraud detection Collaborate closely with engineering and data science teams to evaluate the feasibility and impact of machine learning approaches Define product requirements, success metrics, and milestones specifically tailored for AI-powered features Work with ML teams to operationalize models, including A/B testing frameworks, model retraining pipelines, and feedback loops Identify and quantify long-term opportunities for machine learning and AI technologies to differentiate our SSP in the market Ensure AI/ML models are explainable, ethical, and aligned with customer and business needs Drive alignment across executive stakeholders by clearly communicating technical concepts and business value Partner with data engineering and DevOps to ensure data quality, monitoring, and deployment pipelines support high-performing AI systems What You'll Bring: 5+ years of technical product management experience, including direct ownership of AI/ML product features Experience with ad tech platforms, ideally with exposure to SSPs, RTB protocols, and programmatic media Deep understanding of machine learning lifecycle: data collection, feature engineering, model training, deployment, monitoring Demonstrated experience working with data science and ML engineering teams in a cross-functional agile environment Bachelor's degree in Computer Science, Engineering, or a related technical field; an advanced degree or MBA is a plus Knowledge of common ML frameworks (e.g., TensorFlow, PyTorch, XGBoost) and data platforms (e.g., Snowflake, Spark, Airflow) An analytical mindset with the ability to translate business problems into technical solutions Strong leadership and communication skills with a track record of influencing cross-functional teams and executive stakeholders Experience driving data-informed decisions through metrics, experimentation, and customer feedback Bonus Points: Prior experience in building AI-powered features such as traffic forecasting, content classification, anomaly detection, or recommendation systems Familiarity with real-time data processing pipelines and MLOps best practices Experience navigating the ethical and regulatory implications of deploying AI at scale At Nexxen, we value our differences, varied experiences, and collective contribution. We know that not everyone takes the same career path, so if you don't match this job description perfectly, don't worry! We would rather see your application than risk missing out on your potential to make an impact. In support of pay transparency and equity, the minimum and maximum full-time annual base salary for this role is $160,000 - $210,000 at the time of posting, with the potential of an incentive or bonus. While this is our reasonable expectation this is not a guarantee of compensation or salary, actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, education, certifications, responsibility, and geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location. We offer a variety of benefits, including medical, dental, vision, disability insurance, 401(k), EAP, parental leave, unlimited vacation, and company-paid holidays. The specific programs and options available will vary depending on the state, start date, and employment type. Our Talent Acquisition team will be happy to answer any questions you may have. #LI-KN1 #LI-Hybrid

About Teads Teads is the omnichannel outcomes platform for the open internet, driving full-funnel results for marketers across premium media. With a focus on meaningful business outcomes for branding and performance objectives, the combined company ensures value is driven with every media dollar by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. One of the most scaled advertising platforms on the open internet, Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, with a global team of nearly 1,800 people in 36 countries. For more information, visit www.teads.com. The Teads Data Science Summer School is an immersive program, now also available in Paris, providing students and young professionals with the opportunity to enhance their data science and machine learning skills. Since its creation in 2018, the Data Science Summer School has equipped participants with cutting-edge skills and knowledge. By combining theoretical frameworks with practical applications, this rigorous program gives participants a comprehensive understanding of data science. Teads, a leader in digital innovation, is proud to continue its tradition of excellence in education and industry collaboration through this program. If you have a passion for data and enjoy coding, this could be the perfect opportunity to advance your career. During the one-week program, you will be guided through the entire lifecycle of real life data science projects and will work with gigabytes of realistic advertising data to solve actual industry problems. For a week you will collaborate with highly talented data scientists and engineers, applying data science techniques to real-world challenges. A great opportunity for gaining practical knowledge and experience, and see how we do it in the industry on a huge scale! To qualify for the program, you need to have strong coding skills and a foundational understanding of data science and machine learning. The program is completely FREE, including lunches, coffee, snacks, and all activities. However, full commitment is required for the entire duration of the program. Who will benefit most from attending the Data Science Summer School? The Teads Data Science Summer School is ideal for individuals who are eager to learn and have some existing knowledge of machine learning and data science, whether through university courses, online learning, or participation in Kaggle challenges. The program welcomes final year undergraduate, masters, and PhD students in computer science or related fields, as well as recent graduates and professionals looking to enhance their machine learning and data science skills. While prior experience is beneficial, the summer school caters to all levels, ensuring that both novices and experts can learn and contribute. Participants should have a basic understanding of machine learning and data science, and be comfortable with coding, as the summer school involves heavily in hands-on projects. Familiarity with TensorFlow and Python is helpful but not required. What to Expect? Our team of expert data scientists and engineers will lead you through a week of engaging data science talks, hands-on workshops, and exciting experimentation. You will also have the opportunity to learn from internal and external guest lecturers and connect with fellow data scientists through various social activities. The curriculum covers essential data science and machine learning topics, with an emphasis on real-life problems Teads solves every day in the programmatic advertising and full-funnel omnichannel data driven solutions.You can expect expert lectures on selected data science topics and hands-on workshops with huge and sparse datasets. The official language of the summer schools, including all presentations and materials, is English. Timeline: Registration open: 5. 5. 2025 - 22. 6. 2025 Selection notification: 1. 7. 2025 Summer School: 15. 7. 2025 - 18. 7. 2025 Life at Teads At Teads, we don't just offer jobs - we blend creativity, technology, and data to shape the future of media. You'll work with smart humans, meaningful brands, and cool tools, all while helping redefine how advertising works in a world that demands more transparency, better insights, and smarter strategies. As a Teadster, you'll play a critical role in shaping our future success in the region. Here's why Teads stands out: We've merged two open internet category leaders-Outbrain and Teads-to create the 'new' Teads, a unified omnichannel platform that drives results from branding to performance across all screens, including CTV, mobile, and web. As part of our team, you'll thrive in a collaborative and forward-thinking environment that fosters innovation, creative problem-solving, and continuous learning. Teads is committed to your success, offering all the support, tools, and development opportunities you need to excel in your role. Our company culture is welcoming, dynamic, diverse, global, and built on top performance. Teads is an equal employment opportunity employer and committed to diversity and inclusion at all stages of recruitment and employment. Our team is made up of individuals who are approachable, resourceful, passionate, and proactive. We foster a sense of belonging through our Employee Resource Groups - employee-led groups in which we debate topics and drive change: environmental, women empowerment, charitable initiatives to diversity, equity, and inclusion, you'll be able to share your passions with likeminded people.

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.

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet . Job Profile Name: Res. Assistant Professor Job Code: JP3_24102 Job Family Group: Research FLSA Status: Exempt Job Family: Researchers Career Level: P4 Created/Revision Date: 8/1/2017, 1/1/2024 Grade: CORE JOB SUMMARY The Research Assistant Professor, SOM (A) carries out a particular research agenda in support of the University’s research goals and objectives. Moreover, the Research Assistant professor, SOM (A) contributes to the scientific community by publishing research findings and promotes the University’s reputation as a leader in the field. CORE JOB FUNCTIONS Contributes to basic and applied research activities and authors scientific publications, technical and agency reports, and patent preparations. Collaborates with senior staff to publish findings in refereed journals. Creates and conducts experiments and analyzes results. Works with other researchers to use and develop end products. Writes extramural proposals with approval from appropriate senior staff. Provides ready access to all experimental data for managing staff. Requests or acquires equipment and supplies for assigned project(s). Uses the internet, surveys, legal documents, and other available sources to collect information. Applies for grants to continue research and prepares materials for submission to granting agencies and foundations. Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: Ph.D., M.D. or other doctoral level degree relevant field Certification and Licensing: Not Applicable Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems. Ability to exercise sound judgment in making critical decisions. DEPARTMENT ADDENDUM Department Specific Functions The Department of Informatics and Health Data Science (DIHDS) , Media Innovation Lab (MIL) at the University of Miami is ushering in a new age of healthcare investigation, innovation, and improvement by breaking down the artificial barriers that separate discovery, development, and deployment of new solutions. Investigators at The MIL are reimagining and harnessing technologies available today, while inventing the solutions of tomorrow and are aspiring to create a legacy of insight and impact and to be a trusted voice in digital health, technology and transformation. The Research Assistant Professor will serve as the MIL site expert in bioinformatics setting the strategic vision for the group, leading the development of data analysis approaches, and implementing bioinformatics methodologies to support the needs of the DIHDS/MIL research team. Faculty members in the Department of Informatics and Health Data Science and The Media and Innovation Lab are required to actively support the department chair and lead research, educational/mentorship, and service outreach, policy and ethical initiatives related to informatics, digital technology, and health data science. Candidate must possess a strong computational and quantitative biology background that includes a broad understanding of key biological concepts and have significant experience in software and database engineering enabling an integrated understanding of biological data analysis as it relates to underlying biological processes. An extensive experience with the analysis of large data sets generated by next generation sequencing is encouraged. We prefer candidates with a strong record of accomplishments in bioinformatics, including but not limited to a proven track record of developing innovative tools and applications for computational biology, providing bioinformatics support for complex research projects involving multidisciplinary scientific teams, and a strong publication record in bioinformatics and computational biology. Qualification for this position requires demonstrated expertise in designing and developing software, databases, and interfaces for analyzing and manipulating research data applications including expertise with simple programming using Perl/Python or Java, statistical programming, web-development, and database query through SQL. This role collaborates with researchers to develop high throughput data processing and analysis capability. Directs and guides database searches and the computational analysis of resulting data. May assist in grant and other funding applications, as necessary and appropriate. Demonstrated ability to function as part of a team. Performs other responsibilities as required. This distribution of effort may change in future years based on your interests, department needs, and your success in obtaining extramural grant funding. Department Specific Qualifications Education: PhD in a mechanical engineering, quantitative/computational field including computer science, software engineering, bioinformatics, mathematics, human/statistical genetics, neuroimaging, or a related field (with an emphasis on data science or statistical analyses of human subjects’ datasets). Certification and Licensing: Type Here Experience: Type Here Knowledge, Skills and Attitudes: Type Here PHYSICAL REQUIREMENTS/ WORKING ENVIRONMENT The following sections capture the physical demands and working environment that are required for this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Working Conditions Environmental Dimension Never Occasionally Frequently Constantly Conditions of extreme heat or extreme cold x Wet/Humid conditions x Fumes/Dust/Dirt/Smoke x Confined areas x High places x Equipment in motion x High noise levels x Environmental hazards x Exposure to TB x Exposure to Blood-borne Pathogens x Exposure to Radiant Energy x Outdoor/Exposed areas x Equipment Used Equipment Used Never Occasionally Frequently Constantly Vehicle Type Operate vehicles (Select Vehicle) x Use hand tools x Use power tools x Physical Requirements Physical Dimension Never Occasionally Frequently Constantly Weight Sitting x Standing x Walking x Stooping/Climbing x Carrying x Kneeling x Crouching x Bending x Crawling x Reaching x Handling x Sensory Requirements Sensory Dimension Never Occasionally Frequently Constantly Vision Type Vision x Depth Perception x Color Vision x Peripheral x Concentration x Use of keyboard or touchscreen x Talking x Feeling x Smelling x The above statements are intended to describe the general nature and primary responsibilities of this job classification. Specific duties and tasks may vary based upon departmental needs. Other duties may be assigned to the above consistent with the knowledge, skills, and abilities required for the job. This is a job profile description and not all duties may be assigned to a specific position in each individual department. End of Job Description Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet . Job Status: Full time Employee Type: Faculty

Here at Scotts Miracle-Gro there is no such thing as a typical day. Our culture is constantly energized by new and exciting growth opportunities and at a rapid pace. Below are details on an open job. If the role interests you and you would like to be considered we encourage you to apply! Summary: The Data Scientist will support our research, product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Key Responsibilities: Select and employ advanced statistical learning models to obtain actionable insights. Cross-validate models to ensure their generalizability. Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. Suggest ways in which insights obtained might be used to inform business strategies. Actively engage with key internal and external technology partners Collate, clean, and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. Visualize data and create reports. Align data projects with organizational goals. Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes. Collaborate with data engineers to put machine learning models in production following best practices in machine learning operations (MLOps) Coordinate with different functional teams to implement models and monitor outcomes Technical Knowledge Requirements: 5+ years of experience manipulating data sets and building and operationalizing functional statistical models Proficiency in Python or R, where the former is preferred. Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. In-depth knowledge of SQL. Experience using Apache Spark to process large data sets. Experience querying databases and using various languages: R, Python, SQL. Experience using Amazon Web Services: Athena, Glue, EMR, RDS, S3, SageMaker, etc. Experience creating and operationalizing advanced machine learning algorithms: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Experience visualizing/presenting data for stakeholders using: Tableau, D3, ggplot, etc. Non-Technical Skills: Complex problem solving & analysis Excellent communication skills A business mindset Strong organization and leadership skills Ability to relay insights in layman’s terms, such that these can be used to inform business decisions. Ability to formulate an in depth technical strategy meeting the needs of supported business functions Ability to meet with the business and technical teams to provide understandable technical direction that demonstrates understanding of and alignment with business objectives. Relationship building with technical and non-technical personnel Research new tools on the market and evaluate their value within the company. Ability to develop strategic roadmap and serve as SME in related area Education/Training: MS degree in Statistics, Mathematics, Computer Science or another quantitative field 5+ years of data modeling experience 5+ years of Python, Java, R, SQL 4+ years of experience with algorithm development, tuning, and operalization 2+ years of experience with AWS cloud services: EMR, RDS, Glue, Athena, S3, SageMaker Experience with Neo4j Graph Database, Mulesoft, and Graphql a plus. The starting budgeted pay range for this role will generally fall between $111,500.00 - $131,200.00 per year. Scotts will consider various factors in determining the actual pay including your skills, qualifications, experience, and geographical location.In addition to the determined base salary, this role is also incentive eligible under our corporate bonus programs.For remote roles where the final candidate resides in Alaska, California, Colorado, Illinois, New York, Oregon or Washington, state required pay thresholds will be factored into base salary. Here at ScottsMiracle-Gro, we believe providing an enriching and engaging employee experience is what sets us apart from other organizations. We recognize our employees are so much more than just their job title so we offer programs and benefits that support them in all aspects of their lives. Wondering how we do it? Below is a glimpse of our highlight reel… Our Live Total Health program provides you with options to align to your personal needs . Selections range from medical, dental and vision coverage for you, your spouse/domestic partner and dependents to an outstanding wellness reimbursement program to an unbelievable 401K match (up to 7.5%) as well as a 15% discount on company stock and much more We know our talent is our most precious asset and your unique development contributes to our organization’s success now and in the future. Career growth at our company is not always a ladder. It’s much more like a rock climbing adventure. Grow through exploration and experiences rather than a predictable linear path. We value the importance of family . We provide access to Maven Family Planning and up to $30,000 to accommodate for adoption, fertility and surrogacy . Be part of something bigger by joining one of our Employee Resource Groups focusing on diversity and inclusion, family, education and sustainability : Scotts Women’s Network, Scotts Black Employees’ Network, Scotts Veterans Network, Scotts Young Professionals, Scotts Pride Network (GroPride), Scotts Associates for a Greener Earth (SAGE), Scotts Family TREE and our Associate Boards. Join a company with a strong belief in giving bac k to the communities where we live and work. We have a shared passion for service and volunteerism and believe participating in community service benefits our communities and strengthens our team. Not interested in this role? Stay up to date on future opportunities by joining our ScottsMiracle-Gro and Hawthorne Gardening talent communities. Scotts is an EEO Employer, dedicated to a culturally diverse, drug free workplace. EEO/AA Employer/Minority/Female/Disability/Veteran/Sexual Orientation/Gender Identity Notification to Agencies : Please note that the Scotts Miracle-Gro company does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed Master Service Agreement, and specific approval to submit resumes to an approved requisition, the Scotts Miracle-Gro company will not consider or approve payment regarding recruiter fees or referral compensations.

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.

We are seeking a strategic, collaborative, and technically skilled Director of Data Science to lead and grow our data science team. In this role, you will shape the team’s vision, foster an inclusive and high- performing culture, and drive impactful machine learning and advanced analytics initiatives across the organization. You will work closely with cross- functional partners to address complex challenges and embed data science into our core products, services, and operations. The role will report to the VP of Data & Analytics. What You’ll Do Leadership & Strategy Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes Act as a strategic advisor and thought leader, championing the adoption and responsible use of AI/ ML across the organization Advocate for ethical, transparent, and compliant data use, upholding standards of fairness and accountability in all initiatives Team Development & Management Build, mentor, and lead a high- performing, collaborative team of data scientists Foster a culture of inclusion, innovation, and continuous learning within the team Set clear goals and development plans to support team growth and success Cross-Functional Collaboration Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value Analytical & Communication Excellence Translate complex, ambiguous problems into structured, actionable analytical solutions Deliver clear, compelling insights to both technical and non- technical audiences through storytelling and data visualization Present findings and strategic recommendations to senior and executive stakeholders to influence high- level decisions Model Development & Operations Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement Collaborate with Data Engineering to design scalable, well- defined data assets, features, and metrics that support evolving analytical and product needs Standards & Best Practices Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability What You’ll Need Minimum Qualifications 8+ years in data science or machine learning roles, including 3+ years in a leadership position Advanced degree (PhD/MS) in a quantitative field such as Computer Science, Statistics, Mathematics, or similar Proven experience deploying machine learning models at scale in production environments Preferred Qualifications Background in SaaS or experience working with B2B business models Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Deep understanding of statistical modeling, causal inference, and A/B testing Excellent communication and stakeholder management skills Familiarity with modern data stacks: cloud data warehouses (Snowflake, BigQuery), orchestration tools, and MLOps platforms Experience with NLP, recommendation systems, or time-series forecasting. Experience managing and growing technical talent Working Conditions & Travel Requirements Reliable internet access for any period of time working remotely, not in a Workiva office Up to 20% travel ​ How You’ll Be Rewarded ✅ Salary range in the US: $177,000.00 - $284,000.00 ✅ A discretionary bonus typically paid annually ✅ Restricted Stock Units granted at time of hire ✅ 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic. We strongly encourage and welcome people from historically marginalized groups to apply. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com . Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-LP1

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. At our core, we are dedicated to enriching lives by bridging the gap between individuals and premium wireless experiences that not only meet but exceed expectations in value and quality. We believe that everyone deserves access to seamless, reliable, and affordable wireless solutions that enhance their day-to-day lives, connecting them to what matters most. By joining our team, you'll play a pivotal role in this mission, working towards delivering innovative, customer-focused solutions that open up a world of possibilities. We're not just in the business of technology; we're in the business of connecting people, empowering them to explore, share, and engage with the world around them in ways they never thought possible. Building on our commitment to connect people with quality experiences that offer the best value in wireless, let's delve deeper into how we strategically position our diverse portfolio to cater to a broad spectrum of needs and preferences. Our portfolio, comprising 11 distinct brands, is meticulously organized into five families, each designed to address specific market segments and distribution channels to maximize reach and impact. Total by Verizon & Verizon Prepaid : At the forefront, we have Total by Verizon and Verizon Prepaid, our flagship brands available at Verizon exclusive and/or national/retail stores. Verizon Prepaid continues to maintain a robust and loyal consumer base, while Total by Verizon is on a rapid ascent, capturing the hearts of more customers with its compelling offerings. Straight Talk, TracFone, and Walmart Family Mobile : Straight Talk, Tracfone, and Walmart Family Mobile stand as giants in our brand portfolio, boasting significant presence in Walmart. Their extensive reach and solidified position in the market underscore our commitment to accessible, high-quality wireless solutions across diverse retail environments. Visible : Visible, as a standalone brand family, caters to the digitally-savvy, single-line customers who prefer streamlined, online-first interactions. This brand is a testament to our adaptability, embracing the digital evolution of customer engagement. Simple Mobile : Carving out a niche of its own, Simple Mobile shines as the premier choice among authorized resellers. Its consistent recognition as the most carried brand in Wave7 Research’s prepaid dealer survey for 36 consecutive quarters speaks volumes about its popularity and reliability. SafeLink : SafeLink remains dedicated to serving customers through government subsidies. With a strategic pivot towards Lifeline in the absence of ACP, SafeLink continues to fulfill its mission of providing essential communication services to those in need. Join the team that connects people with quality experiences that give them the best value in wireless. What You’ll Be Doing: We are seeking an Associate Director of Data Science to lead data-driven decision-making across our base management team. You will work at the intersection of performance marketing, customer insights, and advanced analytics, delivering strategic recommendations that fuel growth, optimize campaigns, and enhance customer engagement. Insight generation & optimization Develop and oversee end-to-end marketing analytics strategy, ensuring data-driven decision-making across all channels & campaigns Work cross-functionally with our marketers, product teams, finance, and technology teams to translate data into strategic recommendations Strong storytelling to drive recommendations based on the data analysis and articulate trade offs and communication plan to senior executives Measure and report on marketing ROI, Uplift, LTV, churn, and other conversion metrics to assess marketing campaign performance with precision and uncover high-impact opportunities to enhance campaign effectiveness, reach, and engagement Deliver actionable insights that refine targeting strategies, enhance messaging, and optimize channel execution, ensuring every campaign delivers maximum impact Own the analytics-to-execution pipeline—turning complex models into clear, strategic business recommendations Present insights and recommendations to senior executives, influencing major business decisions Build financial models and develop business cases to enable effective decisions across all base-management initiatives and campaigns Lead the development of dashboards and real-time reporting tools for executive and marketing teams Partner with our Data Science team to design, deploy, and scale personalization strategies using first-party data, predictive analytics, and model-based targeting Leadership: Be the go-to thought leader on data-driven marketing strategy, driving executive discussions and shaping how analytics fuel business outcomes Develop strong relationships with business partners across the Value organization to drive transformational change Supercharge collaboration with other analytics and off-shore teams to modernize reporting, enhance presentations, and scale automation—ensuring every insight drives immediate, tangible business value Partner with functional groups (Finance, Marketing, Operations, GTS, AI&D and others) to drive effective business decisions. Mentor and elevate analytics professionals, building a team that combines technical expertise with business acumen to drive sustained competitive advantage In this role, you'll have a defined work location that includes work from home and assigned office days (in-office days are Tuesday, Wednesday, and Thursday). What we're looking for… You’ll Need to Have: Bachelor's degree or four or more years of work experience. Eight or more years of relevant work experience required, demonstrated through one or a combination of work and/or military experience, or specialized training. Experience leading a team. High proficiency with Microsoft Excel and PowerPoint. Strong financial modelling experience. Proficiency in SQL and data visualization tools (Tableau, ThoughtSpot, Qlik or Looker). Advanced proficiency in SQL, Python (/R) and data visualization tools (Tableau, Qlik or native Python or other libraries like Plotly/Streamlit etc). Even Better If You Have One or More of the Following: Ability to translate complex ideas and express them in concise, simple to understand way to a variety of stakeholders at various levels. Strong Predictive / Prescriptive modeling experience. Experience managing large complex projects involving multiple work streams and stakeholders If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics. Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefits, short term incentives, 401(k) Savings Plan, stock incentive programs, paid time off, parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances. If you are hired into a California, Colorado, Connecticut, Hawaii, Illinois, Maryland, Minnesota, Nevada, New York, Rhode Island, Washington or Washington, D.C. work location, the compensation range for this position is between $138,500.00 and $242,000.00 annually based on a full-time schedule. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part time roles, your compensation will be adjusted to reflect your hours.