Data Scientist Jobs in Pinehurst, NC

***THIS JOB IS AVAILABLE TO CANDIDATES IN GREENWICH, CT / CHARLOTTE, NC / NEW YORK, NY*** Knighthead Life is a service and technology-oriented insurance company providing retirement solutions. With a focus on intentional innovation, ease of use, and partnership, we collaborate with our financial professional partners to develop competitive products and efficient processes to serve clients seamlessly. Knighthead Life is a member of the Knighthead Holdings (“KHH”) group of insurance companies, which also includes Knighthead Annuity & Life Assurance Company (“KHAL”), based in the Cayman Islands. KHAL is a well-rated insurance and reinsurance company established to serve global clients seeking principal protection and guaranteed financial products, as well as reinsurance of similar products from US insurers. KHAL has established itself as the market leader of fixed and fixed indexed annuity offerings for global clients. Since its inception in 2014, it has focused on helping clients preserve and grow accumulated wealth by providing fixed annuities with attractive guaranteed rates, generous liquidity features and a choice of payout options to provide predictable future income. It backs its commitment with superior financial strength and a commitment to the highest levels of client service. Job Description Knighthead Life is looking for an ambitious and high-achieving candidate to join the insurance team as a Modeling Actuary, reporting directly to the Chief Actuary & CFO, with an initial focus on annuity model development. Knighthead Life has significant capital committed to launching and growing its fixed annuity platform, and this role will lead the actuarial modeling that will support the business. The role will interact regularly with other functional areas across the company, including accounting, operations, product development, and marketing. Since this will only be the second actuarial hire at the company, this candidate will be able to make significant contributions to the overall success of the business and will have meaningful opportunities for career growth. This is a rare opportunity to contribute to the development, launch and growth of an insurance carrier with the backing of a seasoned insurance management team and the resources of a successful offshore sister company. Responsibilities Lead internal actuarial model development as it relates to valuation, cash-flow testing, and pricing for fixed and indexed annuity products. Develop modeling techniques and outputs that will feed company financial planning/analysis and ultimately drive executive decision-making. Create model control processes to govern assumption updates, model enhancements, and programming updates. Work closely and build relationships with key stakeholders across the functional areas of the company. Communicate technical actuarial concepts in a clear and concise manner to non-actuarial audiences, in both verbal and written form. Qualifications Bachelor's degree in finance, accounting, economics, actuarial science, mathematics, engineering, computer science, or related field with 4+ years of actuarial experience. Strong academic performance is a plus. ASA/FSA designation. Life/Annuity track preferred but not required. Expert proficiency with MS Office suite and Moody's AXIS. Experience with life and/or annuity products and relevant actuarial work (valuation, CFT, pricing, etc.). US-specific experience (Stat and/or GAAP) preferred. Experience with reinsurance is a plus. Strong organizational skills. Comfort with a steep learning curve and motivation to work in a start-up environment.

Data loss prevention (DLP) systems detect potential data breach incidents in a timely manner and prevent them by monitoring data while in-use, in-transit, and at-rest. DLP systems can be both appliance-based and host-based with components for network monitoring, discovery scanning, and perimeter protection. Paymentus is seeking a Data Loss Prevention (DLP) Engineer with a foundational understanding of Privileged Access Management (PAM) and Identity and Access Management (IAM) to join our growing Cyber Security team. Our environment presents a unique challenge for security professionals. In this role, you will be responsible for designing, implementing, monitoring, reacting, and reporting on information security events within the DLP scope. Additionally, the role includes managing security tools and IT systems with a special focus on DLP enablement. RESPONSIBILITIES: Perform data review and analysis to identify and fingerprint information to be protected. Develop policies to monitor protected data while in-use, in-transit, and at-rest with response rules to prevent leakage of protected information assets. Design and implement data loss prevention solutions for corporate and production systems. Develop workflows for handling incidents and alerts related to protected data policy infringements. Communicate with internal and external resources to ensure DLP policies meet compliance and security requirements. Resolve problems related to DLP solutions implementation, performance, reliability, and availability. Perform DLP solutions administration and maintenance and keep DLP documentation up-to-date. Configure and tune DLP systems, policies, and response rules. Ensure that Service Level Agreements (SLAs) are met. Provide assessment/audit support during internal or external security audits, including but not limited to PCI-DSS and SOC2 audits. Serve as a subject matter expert (SME) for other teams in DLP-related questions. Assist in providing best practice solutions for data protection. Assist in developing policies and standards for data loss prevention. Report on DLP-related issues, propose process and technical improvements. Support the Security Operations Center (SOC) by leading efforts requiring data loss prevention expertise. Provide advice, training, and technical support to all system stakeholders. TECHNICAL QUALIFICATIONS: 5+ years of related work experience. Experience designing, implementing, and operating Data Loss Prevention solutions for SaaS and hybrid cloud environments. Basic understanding of PAM and IAM concepts. Experience with scripting and/or development tools used with application integration into identity and access management and SIEM systems. Nice to have: Experience in implementing DLP solutions for cloud email solutions such as GSuite or Office365. Knowledge of PCI DSS, HIPAA, GDPR regulations. Knowledge of core Information Security concepts related to Governance, Risk, and Compliance. Current information security certifications such as CISM, CRISC, or CISSP. SOFT SKILLS: Has a good understanding of security concepts and interested in further developing security skills. Has an automation mindset. Capable of working in a fast-paced environment, adapting to changing priorities. Self-starter with an appreciation for technical challenges and complex problems. Focused and detail-oriented. Able to work independently and as part of a multidiscipline team. Has excellent written and verbal communication skills to articulate problems and solutions to both technical and non-technical audiences. Possesses superior troubleshooting and analytical skills to perform root cause analysis and suggest out-of-the-box solutions. Uses a proactive approach to prevent issues from re-occurring. EEO Statement Paymentus is an equal opportunity employer. We enthusiastically accept our responsibility to make employment decisions without regard to actual or perceived race, creed, color, age, sex or gender (including pregnancy, childbirth and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, national origin, ancestry, citizenship status, religion, marital status, physical or mental disability, military service or veteran status, genetic information, protected medical condition as defined by applicable state or local law, genetic information, or any other classification protected by applicable federal, state, and local laws and ordinances. Our management is dedicated to ensuring the fulfillment of this policy with respect to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment advertising, pay, and other forms of compensation, training, access to facilities and programs and general treatment during employment. Reasonable Accommodation Paymentus recognizes and supports its obligation to endeavor to accommodate job applicants and employees with known physical or mental disabilities who are able to perform the essential functions of the position, with or without reasonable accommodation. Paymentus will endeavor to provide reasonable accommodations to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so would impose an undue hardship on the Company or pose a direct threat of substantial harm to the employee or others. An applicant or employee who believes he or she needs a reasonable accommodation of a disability should discuss the need for possible accommodation with the Human Resources Department, or his or her direct supervisor.

Only accepting candidates who are local to Charlotte, NC The role provides critical end to end production support of metric reporting routines. The reports/dashboards are shared with senior executives within and outside of the organization to drive proper risk culture and business strategy. Given the level of the audience, report dashboards and executive summaries must be pristine and error free. Data analytics responsibilities may include, and are not limited to, trending analysis, and success analytics to identify areas of discrepancy and possible at-risk controls. The work includes data mining, data aggregation, business metrics, SPI inventory output analysis, risk program metrics analysis, and performance/milestone analytics. Required Skills Advanced, expert Excel skills is mandatory Moderate-to-advanced SQL skills is also mandatory Success measures for this role include: Consistent, timely delivery of reporting requirements using existing macros and code Proactive identification of code or macro breaks Successful application of macro/code fixes and creation Demonstrated ability capture, manipulate and clean data from multiple sources and systems of record Applied critical eye to catch errors or discrepancies Reliable application of advanced Excel and SQL skills to produce reporting in an efficient, timesaving manner Ability to remain nimble and positive when priorities change and Adhoc needs arise Shows a sense of urgency and attention to detail as standard work practice Strong collaboration Significant attention to detail Effective prioritization of workbench deliverables Timely follow-up on reporting requests and questions Experience working in a highly regulated industry or financial institution Has previously interacted with senior level managers Created dashboard reports or analytics ****************More about Dexian****************** Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit ******************* to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status. Dexian | Unlock trajectory changing opportunities. • Unlock business potential with Dexian's comprehensive solutions. Discover staffing, talent development, and valuable resources. Explore now!

Exciting Annuity/Life Actuary opening in Charlotte, NC; New York City; or Greenwich, CT. Use AXIS software to model Fixed Annuities (MYGAs and Indexed Annuities) for cash flow testing, valuation, and planning purposes. Ideal candidate is ASA or FSA with 4+ years of Annuity or Life Insurance experience, including extensive AXIS modeling. (PR12829)

Insight Global is seeking a Financial Data Analyst for a large financial services company in the Charlotte, NC area. This is going to be in the Treasury organization within the bank, and this individual will be looking into improving processes for the Treasury business' quarterly forecast. This person will be responsible for process improvement/data cleanup for recovery and resolution for the bank. This person will be working closely with Internal Liquidity Stress Test (ILST) and other liquidity reporting. The Analyst will support the Traded Products Liquidity Management team covering Derivatives, responsible for: Measure, analyze, monitor, and report on the firm's derivative positions in the 2052a, LCR, NSFR, and ILST Engage with Global Markets, Risk and other key stakeholders to understand and anticipate changes in derivatives activity, and associated impacts to liquidity metrics Engage with CFO Data Management and other key stakeholders to understand and anticipate changes in derivatives data, as well as to improve liquidity risk reporting accuracy, process and controls Research reporting issues as they arise and escalate as appropriate Provide input into monthly and quarterly reporting, disclosures, and presentations for senior management Support other ad hoc projects within Traded Products Liquidity Management Required Skills and Experience: Ability to analyze and manipulate large quantities of data with great attention to detail as well as understand the flow of data within database applications Excellent time management skills, including the ability to meet deadlines, and manage multiple priorities without sacrificing quality or timelines Strong analytical and presentation skills Strong communication (written and oral) Self-motivated, self-directed Proficient with Microsoft tools (Excel, Word, PowerPoint) 3+ years of financial and/or data analytics experience with a financial institution Bachelor's Degree in Finance, Accounting, Economics, Business or a related field - or related work experience Desired Skills and Experience: Experience developing, implementing, and maintaining reporting in a consistent manner Solid understanding of Treasury / liquidity concepts and liquidity regulations Experience in Global Markets and/or Line of Business Experience Experience in regulatory reporting Experience at Bank of America (knowledge of the enterprise) Ability to navigate complex data environments and manipulate large data sets.

Required Qualifications: Candidate must be located within commuting distance of Raleigh, NC or Richardson, TX or be willing to relocate to the area. This position may require travel in the US U.S. citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time. Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 4 years of Information Technology experience Experience in end-to-end implementation of projects in Azure, Databricks, Python, PySpark, SQL. Strong knowledge and hands-on experience in SQL, Unix shell scripting Preferred Qualifications: Sound knowledge of software engineering design patterns and practices Strong knowledge Data structures, Data Engineering concepts, Algorithms, Collections, Multi-threading and memory management and concurrency Experience in large scale cloud data migrations using Databricks, Python, Spark, SQL. Good understanding of Agile software development frameworks Experience in Banking/Financial domain Good to have experience in Snowflake Strong communication and Analytical skills Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business and Technology teams Experience and desire to work in a global delivery environment

Important Notes: Due to the nature of this opportunity, visa sponsorship or application through a 3rd party/employer will not be considered. Data Analyst (Data Warehouse/SQL) Optomi, in partnership with a leading telecommunications company, is seeking a Data Analyst with a strong background in SQL to join their growing team. This role requires an inquisitive individual with exceptional analytical and troubleshooting skills. The right candidate will collaborate closely with data integration development teams, triaging service tickets and providing critical insights to ensure smooth data operations. What the right candidate will enjoy! The opportunity to work in a dynamic data environment with cutting-edge technologies! Hybrid work arrangement! Opportunities to engage in complex problem-solving and impactful decision-making! Experience of the right candidate: Bachelor's Degree in Business or a related field. Experience working with ETL, data warehouse, and big data concepts/environments. Strong analysis, design, and troubleshooting skills. Proficiency in writing advanced SQL queries (SQL Server, Oracle, and/or SnowSQL). Minimum of 5+ years of experience in Business Analysis (or related field)/Data Analysis. Preferred experience with Python or PowerShell for automation and scripting tasks. Responsibilities of the right candidate: Triage service tickets by determining the criticality and scope of reported issues. Collaborate with data integration teams to analyze business operations and recommend solutions aligned with organizational goals. Compile, analyze, and interpret complex data to assess trends and deliver actionable insights. Develop reports, charts, and presentations to aid in recommending business improvements. Investigate SQL queries, data sources, and integration jobs to identify root causes of data issues. Identify and document issues before handing them off to development teams for resolution. Assess external market dynamics and other data sources to identify trends and inform business decisions. Provide clear documentation and communication regarding identified issues and suggested solutions.

What Working at Hexaware offers: Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide. We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed. Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profile. We complete the circle with excellent growth opportunities, chances to collaborate with highly visible customers, chances to work alongside bright brains, and the perfect work-life balance. With an ever-expanding portfolio of capabilities, we delve deep into and identify the source of our motivation. Although technology is at the core of our solutions, it is still the people and their passion that fuel Hexaware's commitment towards creating smiles. “At Hexaware we encourage to challenge oneself to achieve full potential and propel growth. We trust and empower to disrupt the status quo and innovate for a better future. We encourage an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together.” We are always interested in, and want to support, the professional and personal you. We offer a wide array of programs to help expand skills and supercharge careers. We help discover passion-the driving force that makes one smile and innovate, create, and make a difference every day. The Hexaware Advantage: Your Workplace Benefits Excellent Health benefits with low-cost employee premium. Wide range of voluntary benefits such as Legal, Identity theft and Critical Care Coverage Unlimited training and upskilling opportunities through Udemy and Hexavarsity Role: Data Engineer Location: Raleigh, NC Work Mode: Hybrid Salary Range: $100k - $110k Job Description Overall 8-10 years of experience on data domain with at least 3-5 years of experience on Snowflake, Python, R, SQL, AWS & Azure native components. Experience in designing and leading Snowflake projects Expertise in Snowflake Data Modeling, ELT using Snowflake SQL, implementing stored procedures, Snowpark. Hands-on experience with Snowpark. 3+ years programming in one or more languages (Python, R, Java, Scala). In depth understanding of Snowflakes key features like virtual warehouses, query performance, resource monitors, Compute and Storage and security parameters Excellent communication and problem-solving skills. Privacy Statement: The information you provide will be used in accordance with the terms of our Privacy Policy and will be used specifically for the business/processing purpose of the event. You should be aware that we may share your details with our approved vendors for this event to be handled successfully.

About Kriya Kriya is a biopharmaceutical company whose mission is to develop life-changing gene therapies for diseases affecting millions of patients around the world. We leverage our proprietary computational engine, in-house manufacturing infrastructure, and integrated design platform to engineer technologies and therapeutics with the potential to transform the treatment of a broad universe of diseases of high unmet need, with a focus on metabolic disorders, neurology, and ophthalmology. We are proud to have been named Triangle Business Journal's Life Sciences 2024 "Best Private Company to Work For," recognized by Forbes as one of "America's Best Startup Employers of 2024," and honored as one of BioSpace's "2025 Best Places to Work." Who You Are The individual we are seeking possess an interest and expertise in the application of mathematical and statistical modeling to complex biological data. This individual will be responsible for supporting quantitative decision-making at all stages of the drug development process. Qualified candidates will have the ability to work on a variety of therapeutic indications and data types and must have some expertise in basic statistics, population pharmacokinetic/pharmacodynamic (pop PKPD) modeling, exposure-response (ER) modeling, and mechanistic/semi-mechanistic modeling. How You Contribute * Develop and execute modeling strategies, contribute to project team discussions, and help guide decisions from therapeutic design to first-in-human dose selection and beyond. * Participate in the development and application of statistical, PK/PD, QSP, and physiologically-based PK (PBPK) models that integrate aspects of adeno-associated virus (AAV) biology with drug pharmacology, tissue biodistribution, mechanism(s) of action, and biological outcomes. * Contribute to collaborative initiatives for the development data processing and analysis workflows that extend across multiple function groups. What You Bring to the Team Education & Experience * Education: M.S. or Ph.D. in biology, bioengineering, pharmaceutical sciences, biophysics, mathematics, statistics, or a related field. * 0-2 years experience working in Life Sciences field. * Experience modeling applied to AAV gene therapies. * Some experience with the clinical pharmacology of protein therapeutics. * An equivalent combination of education and experience is acceptable. Competencies * General Modeling Skills: Proficiency in core modeling fundamentals is required, including scripting languages (R preferred), construction of ordinary differential equation (ODE) models, parameter estimation, data visualization, and foundational pharmacometrics concepts. * Industry Modeling Skills: some exposure and proficiency in pharmacokinetics and pharmacodynamics (PK/PD), quantitative systems pharmacology (QSP), and/or physiologically based PK (PBPK) is preferred. * Some proficiency in a software package for nonlinear mixed-effects analysis (e.g., Monolix, NONMEM) is preferred. * Domain Expertise: Prior experience with the integration of computational modeling and biological data is required. * Collaboration and Communication: Demonstrated ability to communicate modeling results to a multidisciplinary audience for collaborative work and/or to facilitate strategy and decision-making. Fluent in English (oral and written). Working Conditions * Primarily desk-based, generally in an office or home office setting. * Involves extended periods of sitting and computer use. Discover True Collaborative Teamwork We have an ambitious set of goals, but our confidence - and our inspiration - stems from our people. From California to North Carolina, our teammates bring a spirit of Collaboration, Leadership, and Innovation to their work every day. We're always looking for teammates with the drive and energy to help us grow. If you want to be a part of a company with an entrepreneurial culture, a bold vision, and a meaningful purpose, join us. What We Offer Medical, Dental and Vision ∙ 401(k) with Company Match ∙ Short and Long-term Disability Benefits ∙ Company Paid Holidays ∙ Flexible Time Off ∙ Cyber Safety protection ∙ EAP ∙ Life Insurance ∙ Equity ∙ and more! Kriya is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All job requirements in the provided indicate the minimum level of knowledge, skills, and/or abilities deemed necessary to perform the job competently. Job descriptions are an overview of the duties, responsibilities, and requirements of the position. Employees may be required to perform other job-related assignments as requested.

Top Secret Clearance Jobs is dedicated to helping those with the most exclusive security clearance find their next career opportunity and get interviews within 48 hours. Basic Skills: Perform exploratory research and analysis to identify Client and meaningful patterns in data and uses statistical methods to reject or accept proposed hypotheses about relationships or latent predictive factors discovered through their work to provide business value. Uses a combination of tools, technologies, and numerical computing systems (i.e.: GPU processing, distributed computing, highly parallel coding, cloud computing, machine learning, visualization, system modelling and simulation) to achieve results. Areas of expertise should include several of the following: applied statistics, text mining, natural language processing, deep learning, optimization, and other similar fields. Work on datasets with applied statistics and machine learning algorithms; Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets and Client opportunities in datasets to support decision-making; Develop predictive models and new algorithms to solve data / business problems; Understand the math and statistics behind the models and interpret, extrapolate, and prescribe from data to deliver actionable recommendations using effective visualizations. Specific Tasks Solving business problems through undirected research and framing open-ended enterprise questions Extract huge volumes of structured and unstructured data. Query structured data from relational databases using programming languages such as SQL. Gather unstructured data through web scraping, APIs, and surveys. Employ sophisticated analytical methods, machine learning and statistical methods to prepare data for use in predictive and prescriptive modeling Thoroughly clean data to discard irrelevant information and prepare the data for preprocessing and modeling Perform exploratory data analysis (EDA) to determine how to handle missing data and to look for trends and/or opportunities Discovering new algorithms to solve problems and build programs to automate repetitive work Communicate predictions and findings to management and IT departments through effective data visualizations and reports Recommend cost-effective changes to existing procedures and strategies Role would combine computer science, statistics, and mathematics. Analyze, process, and model data then interpret the results to create actionable plans for the enterprise and other organizations. Requirement calls for Analytical expert who utilize their skills in both technology and social science to find trends and manage data. Able to use industry knowledge, contextual understanding, skepticism of existing assumptions - to uncover solutions to business challenges. Ability to make sense of messy, unstructured data, from sources such as smart devices, social media feeds, and emails that don't neatly fit into a database. Comments for Suppliers: Must have a TS/SCI clearance to be considered Client will entertain higher payrate for the right candidate - please submit all qualified candidates. #CJ

Affluent Card Analytics team is part of Card D&A which provides cutting edge analytical solutions and works closely with Card Product Leadership. The team utilizes Data Science, Machine Learning and Visualization capabilities to generate insights and work closely with the business to drive innovation and business impact. As a Lead Data Scientist within the Sapphire Products team, you will collaborate closely with Product Owners to provide crucial insights through descriptive, diagnostic, predictive, and prescriptive analytics. Your role will involve building consensus with Product Owners on the promotion of customer engagement by defining metrics, sourcing data, developing queries, and generating reports. Job responsibilities Create data points using best practices to ensure high data quality and reduced redundancy Rationalize complex normalized data sets allowing for ease of cross org consumption Translate data into meaningful insights and present a compelling story to stakeholders for decision making Bring in experience in the production, optimization and automation of recurrent reports Analyze travel-related data to understand customer behavior and trends across different channels. Monitor and assess the impact of guardrails on customer journeys to ensure a seamless booking experience. Identify key entry points in the customer journey and optimize them for improved conversion rates. Design and conduct experiments to measure the effectiveness of new features or changes in the travel booking flow. Collaborate with Product team, other Data & Analytics teams, and Channels team, to gain insights into customer behavior and preferences from an end-to-end experience. Develop and maintain Adobe Analytics dashboards to track key metrics and performance indicators. Utilize heatmaps and other visualization tools to identify areas of improvement in the user experience. Required qualifications, capabilities and skills Bachelors degree in quantitative or related field with 8+ years of analytics experience Strong Adobe Analytics knowledge Strong SQL skills with the ability to pull data using multiple joins, sub-queries, and advanced functions in an enterprise-scale database environment (Teradata, Hadoop, AWS, etc.) Demonstrated experience with business intelligence and data wrangling tools such as SAS EG, SAS Viya, Python, Snowflake and Alteryx is key Experience with Hadoop, Teradata, Oracle and SQL DBs Adept at explaining and converting complex concepts into digestible information to be consumed by audiences of varying levels of expertise Intellectually curious and eager to learn new things with an eye for innovation Highly organized and able to prioritize multiple tasks Good written and oral communication skills Operational business knowledge of processes, data, controls, and technology platforms Preferred qualifications, capabilities and skills Functional industry experience in operations, marketing, credit/risk, technology or finance Intermediate knowledge of Machine Learning Experience with visualization techniques for data analysis and presentation (Tableau preferred) Basic skills with JIRA, Confluence Familiarity with Cloud (AWS, Snowflake) based data solutions and tools

Role reports to: Head of Data Science, North America Rich Data Co (RDC) Delivering the Future of Credit Today! We believe credit should be accessible, fair, inclusive, and sustainable. We are passionate about AI and developing new techniques that leverage traditional and non-traditional data to get the right decision in a clear and explainable way. Global leading financial institutions are leveraging RDC's AI decisioning platform to offer credit in a way that aligns to the customers' needs and expectations. RDC uses explainable AI to provide banks with deeper insight into borrower behavior, enabling more accurate and efficient lending decisions to businesses. Join the Future of Credit! Work at a 5-Star Employer of Choice 2023- RDC was named one of HRD Australia's "best companies to work for in Australia". Join a fast-growing global AI company- Grow your skills, capabilities and gain AI and global experience. High performance team- Work alongside some of the best product teams, data scientists and credit experts in the industry. Vibrant team culture- Join an innovative and agile team who celebrates wins and solves problems together. Work-life balance- Highly flexible working arrangements - work how's right for you! Financial inclusion- Be part of a company that is striving for global financial inclusion and driving the future of credit. Purpose of Role RDC is a cloud native AI Decisioning company whose purpose is financial inclusion and increasing global access to credit. To achieve this, the Data Science / Modeler function is key to our organizational success. As we expand in North America and grow our world-class team, we seek a Data Scientist to join our team. The Data Scientist will work closely with the Data Science & Credit Advisory team, and RDC customers, on developing AI-based solutions, to help RDC customers improve and automate their credit provisioning and management strategies. The Data Scientist will work closely with the Principal Data Scientist and other data scientists on the team, who will provide knowledge and support to work towards team goals. We will work together to solve complex credit-based decisions in the Small and Midsize Business and Commercial lending space. Accountability & Outcomes The role will involve the following key accountabilities: Designing, presenting & documenting AI based initiatives to our clients, typically banking and risk executives. Design use cases for clients with clear objectives and success criteria, matching our AI platform capabilities and client needs. Develop data processing solutions and machine learned models to address the business objective of our clients using RDC platform. Conduct detailed data analyses in support of the development, validation, and implementation of statistical models. Lead discovery engagement and develop prototypes to be deployed on the RDC platform for clients across new use cases in SMB and Commercial lending in North America. Support sales, client advisory and client delivery team to achieve expected business outcomes as agreed with our clients. Essential-Qualifications BS or BA degree in Statistics, Mathematics, Physics, Computer Science, or other Quantitative related degree. Programming experience in Python for 2+ years Programming in SQL for 1+ years. Experience developing and managing quantitative credit risk models including credit decisioning models. Programming experience in Python and SQL to include statistical modelling and machine learning techniques. Knowledge of data discovery, statistics, and data-driven model discovery, development, and validation, and tracking. Ability to learn and adapt to new or emerging modeling techniques (e.g., LLM, GenAI, LSTM, etc.) Experience presenting to technical, and non-technical stakeholders, including senior leadership. Occasional travel to the customer site is expected (estimated 10-25% travel). Desired-Qualifications Advanced degree (MS or PhD) in Statistics, Mathematics, Physics, Computer Science, or other Quantitative related degree. Experience working with traditional and non-traditional data sources such as transaction, accounting, and e-commerce data. Understanding of decision-making processes behind the business or consumer lending. Experience with commercial and/or business lending. Experience in credit risk analysis, strategy design, and monitoring. Experience with additional programming languages is nice-to-have (e.g., Java, Scala, R, SAS, Perl, etc.) **This role can be remote from anywhere in the United States **We are unable to sponsor H1-B visas in the near term**

Amentum is seeking a Data Scientist to support the 389th MI BN Process Exploit and Disseminate (PED) Information collected from identified sensors in Ft. Bragg, NC. The Data Scientist will provide support to ensure the integration and visualization of large data sources to support PED operations and all-source analysis. Essential Responsibilities: Develop professional presentations, briefings, information papers, and articles for presentation and submit for Government review and approval as requested. Analyze existing software, hardware, and information flow architecture, and provide a report detailing shortcomings and industry best practices fixes. Support complex IT architecture projects with full competency in data gathering, artifact development, presentation, and completion of enterprise architect (EA) models. The contractor shall apply hardware engineering and software design theories and principles to researching, developing, and reviewing EA products. The contractor shall recommend innovative technologies to enhance the presentation and usage of EA products. The contractor shall provide integrated systems planning. The contractor shall coordinate project team activities and assist with monitoring project schedules and costs. Formulate and lead guided, multifaceted analytic studies against large volumes of data to interpret and analyze data using exploratory mathematic and statistical techniques based on the scientific method to support PED operations. Use technology to mine complex, voluminous, and different types of data from various sources and platforms to collect, analyze, and compile data to meet customer needs. Minimum Education/Experience: 3+ years of experience in one or more of the following: Business Analysis, Army Special Operations, Intelligence and/or Information Management/Know ledge Management. 3+ years of experience supporting the United States Military preferably SOF elements. BA/BS from an accredited institution, or former Officer, NCO or Warrant Officer with Military Experience or Intelligence/Knowledge Management background. Required Specialized Qualifications: Certification or 2+ years of experience with a diverse set of analytical tools and suites to include Tableau and Alterix and familiarity with Python, R, Matlab and or other coding platforms. Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, religion, color, sex, gender, national origin, age, United States military veteran's status, ancestry, sexual orientation, gender identity, marital status, family structure, medical condition including genetic characteristics or information, veteran status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal EEO laws and supplemental language at EEO including Disability/Protected Veterans and Labor Laws Posters.

Temp Data Scientist - Boston, MA or NC, NH, RI, TX, MA, or CO (18 month contract- probable extension or permanent conversion) Notes: Master's Degree Required Python development to build time series models Run SQL queries Linux OS administration Any web development experience preferred. Experience working with Artificial Intelligence, Machine learning algorithms, neural networks, decision trees, modeling, Cloud Machine Learning, time series analysis and robotics process automation. Description: We are seeking a hands-on experienced data scientist with financial services industry experience. As part of a small, nimble team, the associate's key differentiating abilities will be exceptional analytical skills, and an ability to conceive of and develop differentiated products for the benefit of customers. Absolutely critical is the associate's ability to carry an initiative from idea through to execution. 5+ years' experience in Information security/technology risk management for large-scale, complex IT infrastructures and distributed environments or an equivalent combination of related training and experience Analytic Skills: In addition to core regression, classification and time series skills that accompany the data science role, experience with next best action (NBA) prediction, multi-armed bandits, online learning, A/B testing, and experimentation methods are preferred Natural programmer, and confirmed industry experience with statistics and data modeling Experience with one or more of the following tools/frameworks - python, scikit-learn, nltk, pandas, numpy, R, pyspark, scala, SQL/big data tools, TensorFlow, PyTorch, etc Education- At least one advanced degree (Master or PhD level) in a technical or mathematically-oriented discipline, e.g., coursework or experience in fields such as statistics, machine learning, computer science, applied mathematics, econometrics, engineering, etc. Extensive experience in written and oral communications/presentations, and ability to produce a variety of business documents (business requirements, technical specs, slide presentations, etc.) that demonstrate command of language, clarity of thought, and orderliness of presentation We are looking for an authority quantitative developer to advance the research and development of AI/ML methods as components in the delivery of creative investment management technology solutions. You will have experience combining multi-variate statistical modeling, predictive machine learning methods and open-source approaches to Cloud computing and Big Data.

Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Our customers love our technology, but it's our caring employees that make Splunk stand out as an amazing career destination. No matter where in the world or what level of the organization, we approach our work with kindness. So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you. Come help organizations be their best, while you reach new heights with a team that has your back. **Role Summary** We're seeking a Senior Product Data Scientist to join Splunk's PX Data Strategy team. In this strategic and hands-on role, you will spearhead advanced analytics initiatives and play a crucial part in refining our data and measurement strategy. With your expertise in forecasting, modeling, regression, and clickstream analysis, you will transform complex data sets into actionable insights that drive data-driven decisions, enhance product performance, and elevate customer experiences. **What You'll Get To Do** + Lead Advanced Analytics Initiatives: Conduct clickstream analysis, forecasting, and predictive modeling to gain insights into user behavior and optimize user journeys. Utilize inferential statistics, including regression analysis, to drive strategic improvements in product performance. + Develop and Optimize Feedback Mechanisms: Create and refine in-app feedback systems using exploratory analysis and A/B testing to enhance data quality and engagement across all user segments. + Integrate and Analyze Data: Combine telemetry data with user feedback metrics to provide a comprehensive view of product performance and user sentiment. Use inferential statistics to identify patterns and drive data-driven decision-making. + Drive Data-Driven Decision-Making: Leverage insights from telemetry and user feedback to inform product teams, facilitating strategic decisions that enhance user experience and align with business objectives. Apply statistical models to predict future trends and outcomes. + Collaborate and Engage with Stakeholders: Work with cross-functional teams to ensure alignment on measurement objectives and strategies. Use data-driven insights to guide product planning and execution, fostering a culture of collaboration and innovation. **Must-have Qualifications** + 8+ years of experience with a Bachelor's degree in Data Science, Statistics, Mathematics, or a related field, or equivalent applied experience. + Proven expertise in advanced analytics, including forecasting, modeling, regression analysis, and clickstream analysis, to extract actionable insights from complex data sets. + Strong skills in statistical analysis, data interpretation, and experimental design, with a particular focus on applying inferential statistics to solve business challenges. + Demonstrated ability to collaborate effectively with cross-functional teams, driving data-driven decisions that enhance product strategy and performance. + Experience in synthesizing telemetry data with qualitative and quantitative insights, enabling comprehensive analysis that informs strategic decision-making. + Proven track record in developing scalable data solutions across various product lines and user segments, ensuring data-driven strategies align with overarching business objectives. Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off, and much more! Learn more about our comprehensive benefits and well-being offering here. **Splunk is an Equal Opportunity Employer** Splunk, a Cisco company, is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Note: **Base Pay Range** SF Bay Area, Seattle Metro, and New York City Metro Area Base Pay Range: $159,200.00 - 218,900.00 per year California (excludes SF Bay Area), Washington (excludes Seattle Metro), Washington DC Metro, and Massachusetts Base Pay Range: $143,280.00 - 197,010.00 per year All other cities and states excluding California, Washington, Massachusetts, New York City Metro Area and Washington DC Metro Area. Base Pay Range: $127,360.00 - 175,120.00 per year Splunk provides flexibility and choice in the working arrangement for most roles, including remote and/or in-office roles. We have a market-based pay structure which varies by location. Please note that the base pay range is a guideline and for candidates who receive an offer, the base pay will vary based on factors such as work location as set out above, as well as the knowledge, skills and experience of the candidate. **In addition to base pay, this role is eligible for incentive compensation and may be eligible for equity or long-term cash awards.** Benefits are an important part of Splunk's Total Rewards package. This role is eligible for a competitive benefits package which includes medical, dental, vision, a 401(k) plan and match, paid time off and much more! Learn more about our next-level benefits at ************************** .

This position is responsible for supporting the development, application, and maintenance of data, models, and software used to support the economic planning and operation of multi-commodity fuel & power portfolio and 50 GW+ regulated thermal and renewable generation fleet. Typical applications include evaluating and integrating renewable energy technologies, optimizing energy storage, simulating commodity prices, forecasting fuel requirements, and other related topics. We are looking for a talented individual with strong programming skills to automate data flows, develop mathematical models, generate insights from data, and author compelling technical documents and presentations to help the organization make data-driven business decisions. **Responsibilities** - Develop code to transform and automate data flows from market data providers, internal business units, and external vendors to run large generation fleet optimization models and extract outputs for reports. - Take ownership of existing or new models and analytic tasks supporting the optimization of the economics and reliability of assets and systems. Evaluate assumptions, accuracy, and performance of models. Frequently update/maintain models as technical and business requirements change. - Present models, analyses and insights to technical and business audiences. Communicate/educate and train at all levels in the organization. - Establish and manage tools and practices to optimize performance of large data applications including on-premises and cloud databases. - Author technical documents and white papers for internal and external audiences, create compelling visualizations and contribute to regulatory filings and testimony. - Follow best practices for model governance and business continuity including version control, robustness/fault tolerance, model documentation, and peer training. - Create interactive dashboards and reports to maximize the value of data and forecasts in business decision making throughout the organization. **Desired Qualifications** - Strong programming skills in data science/mathematical software packages specifically MATLAB, Python, SAS or R; MATLAB and Python expertise strongly preferred. - Strong understanding of probability distributions, stochastic processes, tail risk estimation. - Excellent communication and presentation skills with ability to communicate technical subjects to a wide range of audiences. - Practical experience with real-world implementation of regression and machine learning models. - Experience with mathematical optimization techniques and production cost models. - Practical knowledge of timeseries simulation methods and related analysis including PCA, covariance analysis, cointegration, ARIMA and Box-Jenkins analysis. - A general understanding or strong interest in utility, power, gas, oil or coal industries. - Practical experience managing data in traditional (Oracle, SQL Server) and/or cloud databases (AWS). Able to create tables/views and query large databases with minimal assistance. - Practical experience developing dashboards in data visualization tools such as Qlikview and Power BI. - Advanced knowledge of Excel and VBA. **About US Tech Solutions:** US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** (********************************** . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems. This role is looking for a highly skilled and versatile engineer who can bridge the gap between machine learning and front-end development. The ideal candidate will have a strong understanding of both areas and be able to apply their knowledge to build innovative and user-friendly applications. **Responsibilities** + Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions. + Strong understanding of React components, state management, and lifecycle methods. + Ability to build complex and performant user interfaces. + Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction. + Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments. + Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization. + Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring. + Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage. + Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders + Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects. + Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam. **Qualifications** + Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. + At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred + Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL. + Experience with popular React libraries and tools (e.g., Redux, React Router, Styled Components). + Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse + Knowledge of clinical domain and datasets. + Knowledge of REST, Apigee, Microservices preferred + Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques. + Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation + Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage. + Strong mathematical and statistical skills. + 2+ years in the Healthcare industry and knowledge of clinical data preferred. + Delivery experience with Google Cloud Platform preferred. + Agile development skills and experience preferred. + Experience designing and developing machine learning and deep learning solutions and systems. + Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments. + Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. + Experience mining and analyzing large structured and unstructured datasets. + Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment + Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. **What is expected of you and others at this level** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Recommends new practices, processes, metrics, or models + Works on complex projects of large scope projects may have significant and long-term impact + Provides solutions which may set precedent + Collaborate with stakeholders for completion of new projects **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 1/26/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Hours: 40 Pay Details: $95,264 - $155,376 USD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Line of Business: Analytics, Insights, & Artificial Intelligence Job Description: The Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material. Department Overview: Leveraging industry expertise to identify and mitigate financial crime risks, this position will lead on developing and providing valuable insights related to scenarios, emerging risks, reporting and ad-hoc requests in AML transaction monitoring, . Collaborate with cross-functional teams, support Financial Intelligence Units (FIU) with data analysis, and contribute to strategic initiatives aimed at strengthening our AML efforts. This individual will be responsible for ensuring successful execution of various projects within established timelines and providing a second level of oversight. Prior experience and expertise with AML analytics, transaction monitoring, Azure, Databricks, and Python would be helpful in this role. Depth & Scope: * Generally accountable for a significant business management area that typically has enterprise-wide impact or accountability * Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels * Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes * Position typically deals with senior/executive management * Works independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size * Focuses on longer-range planning for functional area (e.g. 12 months or greater) * May manage and prioritize multiple projects at a given time Education & Experience: * Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or * 5+ year of relevant experience; higher degree education and research tenure can be counted Preferred Skills: * Experience in Financial Crimes / Transaction Monitoring / Compliance Risk Analytics domain * Experience in generating data and analytics insights, assisting financial institutions with addressing the efficiency and effectiveness of transaction monitoring systems * Experience with model development and tuning (i.e., segmentation; optimization / tuning of AML scenario/rule behaviors, and alert/case models to reduce false positives) * Experience with exploratory data analysis to uncover new trends and typologies in AML (i.e., emerging risks) * Experience with both rule-based and machine learning AML models Customer Accountabilities: * Works closely with business owners to identify opportunities and serves as an ambassador for data science * Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions * Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data * Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding * Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business Shareholder Accountabilities: * Analytical thought leadership and stays current on developments in data mining and the application of data science * Solicits and offers ideas for improving business processes through insights with the objective of improving effectiveness and efficiency * Educates the organization on approaches, such as testing hypotheses and statistical validation of result * Helps the organization understand the principles and the math behind the scientist process to drive organizational alignment * Translates up to date information into continuous improvement activities that enhances performance * Adheres to enterprise frameworks or methodologies that relate to activities for business area * Ensures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities * Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations * Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist * Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues * Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements * Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts * Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite Employee/Team Accountabilities: * Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest * Provides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unit * Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques * Participates in personal performance management and development activities, including cross training within own team * Keeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities * Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices * Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships * Contributes to a fair, positive and equitable environment that supports a diverse workforce * Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally Physical Requirements: Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100% * Domestic Travel - Occasional * International Travel - Never * Performing sedentary work - Continuous * Performing multiple tasks - Continuous * Operating standard office equipment - Continuous * Responding quickly to sounds - Occasional * Sitting - Continuous * Standing - Occasional * Walking - Occasional * Moving safely in confined spaces - Occasional * Lifting/Carrying (under 25 lbs.) - Occasional * Lifting/Carrying (over 25 lbs.) - Never * Squatting - Occasional * Bending - Occasional * Kneeling - Never * Crawling - Never * Climbing - Never * Reaching overhead - Never * Reaching forward - Occasional * Pushing - Never * Pulling - Never * Twisting - Never * Concentrating for long periods of time - Continuous * Applying common sense to deal with problems involving standardized situations - Continuous * Reading, writing and comprehending instructions - Continuous * Adding, subtracting, multiplying and dividing - Continuous The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required. The listed or specified responsibilities & duties are considered essential functions for ADA purposes. Who We Are: TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues. TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you've got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we're here to support you towards your goals. As an organization, we keep growing - and so will you. Our Total Rewards Package Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more Additional Information: We're delighted that you're considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we're committed to providing the support our colleagues need to thrive both at work and at home. Colleague Development If you're interested in a specific career path or are looking to build certain skills, we want to help you succeed. You'll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD - and we're committed to helping you identify opportunities that support your goals. Training & Onboarding We will provide training and onboarding sessions to ensure that you've got everything you need to succeed in your new role. Interview Process We'll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call. Accommodation If you are an applicant with a disability and need accommodations to complete the application process, email the TD Bank US Workplace Accommodations Program at ***************. Include your full name, best way to reach you, and the accommodation needed to assist you with the application process. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

WHAT MAKES US EPIC? At the core of Epic's success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it's building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we're always innovating. Being Epic means being a part of a team that continually strives to do right by our community and users. We're constantly innovating to raise the bar of engine and game development. ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the games we make, the technology we develop, and business decisions that drive Epic. What You'll Do You will drive the core functions of a personalization engine that provides tailored recommendations to our players in real time. You will partner closely with machine learning engineers, product engineers, product managers, and analytics teams to deliver high quality ML models from R&D through to deployment and continuous experimentation and iteration. You will use your expertise in building and serving robust ML models in real time in a distributed big data environment in both batch and streaming workloads. You will ensure strong experimentation practices and model promotion strategies through rigorous automated monitoring and measurements and heavily parallelized training and prediction pipelines. In this role, you will Develop machine learning models to surface the most appealing & relevant content to players from a vast library of Fortnite islands Independently transform raw data into scalable production ML models and partner with backend service teams to integrate those models into Fortnite Continuously evaluate the effectiveness of models and iterate constantly to maximize long-term ecosystem growth Work with product, and engineering teams to quickly and rigorously design, test, and learn from experiments to improve the product What we're looking for 5+ years of industry or relevant experience, with proven interest in and knowledge of live service video games Experience writing efficient and scalable ML Pipelines over billions of rows in a distributed computing environment with PySpark batch and streaming Expert in Python development practices including version control (GitHub), and comfortable working in a CI/CD environment Thoughtful conceptual data modeling and data architecture practices designed for feature stores and model performance monitoring Experience working with development teams to instrument data and design event-level metrics to build model features Familiarity with supporting operational processes including: code version control (Github or similar), orchestration (Airflow) Passion for the gaming industry and optimizing experiences through automation and highly performant models EPIC JOB + EPIC BENEFITS = EPIC LIFE Our intent is to cover all things that are medically necessary and improve the quality of life. We pay 100% of the premiums for both you and your dependents. Our coverage includes Medical, Dental, a Vision HRA, Long Term Disability, Life Insurance & a 401k with competitive match. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents. Throughout the year we celebrate our employees with events and company-wide paid breaks. We offer unlimited PTO and sick time and recognize individuals for 7 years of employment with a paid sabbatical. ABOUT US Epic Games spans across 25 countries with 46 studios and 4,500+ employees globally. For over 25 years, we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent. Like what you hear? Come be a part of something Epic! Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here. Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.