lead data scientist

Intercontinental Exchange

<div>Overview:

Job Purpose
We are looking for individuals with a strong background in statistical modelling and financial engineering to join our research and rapid prototyping team at Intercontinental Exchange. We require candidates to have experience building, enhancing or supporting the pricing of fixed income securities with a strong interest in leveraging AI driven tooling on the job. This role requires individuals to enhance and expand proprietary algorithms designed to bring transparency and standardization to the fixed income market. You will join a fast-paced team of quants and data scientists leveraging state-of-the-art tools tasked with improving precision and scale across millions of bonds. You will also be asked to research new techniques enabled by the usage of AI to scale our business. The role will require individuals to work with significantly large data sets spanning years of historical data. 
Responsibilities<ul><li>
Learn, research, implement and maintain pricing models across fixed income asset classes</li><li>
Work closely with product, engineering and evaluation teams to procure, analyze and validate data sources</li><li>
Investigating Ad hoc issues and debugging pricing applications</li></ul> 
Knowledge and Experience<ul><li>
Master's or higher in Computer Science, Math, Physics, Engineering, or related quantitative field, PhD preferred</li><li>
3+ years of experience doing quantitative analysis</li><li>
Hands on experience utilizing Python, C++, SQL, Shell Scripting, R</li><li>
Experience using AI &amp; ML techniques to solve complex multi-dimensional problems preferred</li><li>
An understanding of fixed income instruments</li><li>
Strong communications skills</li></ul><div> 
New York Base Salary Range</div><div>
The expected base salary for this role, if located in New York, is between $130,000 - 190,000 USD. The base salary range does not include Intercontinental Exchange&rsquo;s incentive compensation. While we provide this range as general guidance, at ICE we compensate employees based on the skillset and experience of the individual. Regular full-time ICE employees are eligible for a suite of competitive employee benefits, including healthcare coverage (medical, dental and vision), a 401(k) plan, life insurance, time off, and paid leave for qualifying circumstances.</div>
-: Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.</div>

Lead Data Scientist

Starbucks

<div>Now Brewing &ndash; Lead Data Scientist! #tobeapartner 
 
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Lead Data Scientist on the Pricing Data Science team, you will lead the development of advanced pricing models and optimization algorithms that shape pricing decisions across US and Canada company-owned stores. You will drive the evolution of the pricing system by applying rigorous analytics, partnering with cross-functional teams, and influencing strategic workforce planning. Your work will directly impact pricing, and customer experience at scale.
As a lead data scientist, you will&hellip; 
Design and Architect the Future Pricing Ecosystem<ul><li>
Build a scalable, data-driven pricing framework that optimizes revenue.</li><li>
Incorporate predictive modeling, and ad hoc analyses into pricing framework. 
Drive Pricing and Revenue management data science</li><li>
Identify pricing and promotion potential through advanced analytics.</li><li>
Implement optimization strategies leveraging machine learning, simulation, and scenario planning.</li><li>
Partner with strategy and finance to align pricing tools with business goals. 
Mentor and Develop Talent</li><li>
Guide data scientists and senior data scientists in advanced analytics, optimization techniques, and business impact storytelling.</li><li>
Foster a culture of innovation and continuous improvement within the analytics team.</li></ul> 


We&rsquo;d love to hear from people with:<ul><li>
5+ years of progressive experience in data science, with a proven track record of end-to-end data product and model deployment that delivers measurable business impact.</li><li>
Strong foundation in machine learning and statistical techniques, including regression, classification, clustering, and causal inference.</li><li>
Advanced proficiency in Python, SQL, and cloud-based analytics platforms (e.g., Databricks, Azure), with experience developing production-grade data pipelines and model outputs.</li><li>
Excellent communication and data storytelling skills, with the ability to translate complex methodologies into clear, actionable insights through compelling visualizations and dashboards using tools like Tableau.</li><li>
Experience building in-house production systems in complex and data-rich domains.</li><li>
Mentoring experience</li></ul> 
Preferred Skills:<ul><li>
Expertise in building Bayesian elasticity models and causal inference</li><li>
Experience in optimization techniques such as linear programming, mixed-integer programming, or heuristic algorithms for decision support</li><li>
Background with PySpark and Databricks for distributed data processing and scalable analytics in cloud environments</li></ul><div> 
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor&rsquo;s degree through Arizona State University&rsquo;s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com. 
<ul><li>If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.</li></ul></div>
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
We believe we do our best work when we're together, which is why we're onsite four days a week. 
Join us and inspire with every cup. Apply today! 
Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law. 
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. 
 
Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com or 1(888) 611-2258.</div>

lead data scientist- Pricing, Data & Analytics (Seattle, WA)

The Home Depot

<div>
 Req187642
 
 
 The Home Depot is able to offer virtual employment of this position in the following states:
 
 
 AK, AZ, CA, GA, HI, ID, IL, KS, KY, ME, MA, MI, MN, MT, NE, NV, NH, NJ, NM, NY, ND, OH, OR, RI, SD, TX, UT, VT, WA, WV, WI, WY
 
 
 
 Position Purpose
 
 
 
 The Sr. Data Scientist will lead a team to develop the analytical infrastructure and computational capabilities that drive decision making and maximize the organizations profitability. By partnering with business leaders and software engineers to leverage company and industry data, the data scientist will develop predictive systems and algorithms for identifying trends and providing business solutions. The Sr. Data Scientist is an integral part of the Pricing Team. The data scientists team's primary focus is driving data analytics and predictive modeling on large datasets to extract meaningful business information using statistics and machine learning techniques.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 25% Design and develop algorithms and models to use against large datasets to create business insights.
 </li>
 <li>
 25% Provide direction on prioritization of work, ensure quality of work outputs, and develop the competencies of direct reports.
 </li>
 <li>
 20% Establishing scalable, efficient processes for large scale data analyses, model development and model implementation
 </li>
 <li>
 20% Solve problems creatively with strategic insights. Leverage data to present a compelling business case to optimize price points.
 </li>
 <li>
 10% Remain knowledgeable on advancements in data science and machine learning. Identify opportunities to apply learnings.
 
 
 </li>
 </ul>
 
 Direct Manager/Direct Reports
 
 
 
 <ul>
 <li>
 Position reports to Director Engineering BL Lab
 </li>
 <li>
 Number of direct reports = 1
 
 
 </li>
 </ul>
 
 Travel Requirements
 
 
 
 <ul>
 <li>
 Typically requires overnight travel less than 10% of the time.
 
 
 </li>
 </ul>
 
 Physical Requirements
 
 
 
 <ul>
 <li>
 Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
 
 
 </li>
 </ul>
 
 Working Conditions
 
 
 
 <ul>
 <li>
 Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Must be eighteen years of age or older.
 </li>
 <li>
 Must be legally permitted to work in the United States.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in data mining, data analysis and predictive modeling
 </li>
 <li>
 Previous work experience in business intelligence and data analytics
 </li>
 <li>
 Proven experience utilizing statistical techniques to identify key insights from data to solve business problems
 </li>
 <li>
 PhD in Computer Science, Math or related quantitative field.
 </li>
 <li>
 Expert knowledge in manipulating massive datasets, statistical analysis and predictive modeling.
 
 
 </li>
 </ul>
 
 Minimum Education
 
 
 
 <ul>
 <li>
 The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 <ul>
 <li>
 No additional education
 
 
 </li>
 </ul>
 
 Minimum Years Of Work Experience
 
 
 
 <ul>
 <li>
 7
 
 
 </li>
 </ul>
 
 Preferred Years Of Work Experience
 
 
 
 <ul>
 <li>
 No additional years of experience
 
 
 </li>
 </ul>
 
 Minimum Leadership Experience
 
 
 
 <ul>
 <li>
 None
 
 
 </li>
 </ul>
 
 Preferred Leadership Experience
 
 
 
 <ul>
 <li>
 None
 
 
 </li>
 </ul>
 
 Certifications
 
 
 
 <ul>
 <li>
 None
 
 
 </li>
 </ul>
 
 Competencies
 
 
 
 <ul>
 <li>
 Ability to build scalable systems that analyze huge data sets and make actionable recommendations
 </li>
 <li>
 Strong communication and data presentation skills
 </li>
 <li>
 Ability to quickly adapt to new technologies, tools and techniques
 </li>
 <li>
 Flexible and responsive; able to perform in a fast paced, dynamic, decision making environment and meet aggressive timelines
 
 
 </li>
 </ul>
 
 Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit
 
 
 https://careers.homedepot.com/our-benefits
 
 
 .
 
</div>

Senior Data Scientist (BlackLocus division)

Position Purpose: The Sr. Data Scientist is responsible for leading data science initiatives within the Pro Intelligence and Acquisition &amp; Integration space that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Sr. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage. Based on the specific data science team, this role would need to be proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP. As a Sr. Data Scientist, you will serve as a lead on data science projects, collaborating with project/product managers, providing prioritization of tasks, balancing workload and mentoring data scientists on the project team. This role is expected to present insights and recommendations to leaders and business partners and explain the benefits and impacts of the recommended solutions. This role supports the building of skilled and talented data science teams by providing input to staffing needs and participating in the recruiting and hiring process. In addition, Sr. Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. Key Responsibilities: 35% Solution Development - Proficiently design and develop algorithms and models to use against large datasets to create business insights; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies; Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation 30% Project Management &amp; Team Support - Work with project teams and business partners to determine project goals; Provide direction on prioritization of work and ensure quality of work; Provide mentoring and coaching to more junior roles to support their technical competencies; Collaborate with managers and team in the distribution of workload and resources; Support recruiting and hiring efforts for the team 20% Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Provide general education on advanced analytics to technical and non-technical business partners; Deep understanding of IT needs for the team to be successful in tackling business problems; Actively seek out new business opportunities to leverage data science as a competitive advantage 15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Define best practices and develop clear vision for data analysis and model productionalization; Contribute to library of reusable algorithms for future use, ensuring developed codes are documented Direct Manager/Direct Reports: This position reports to manager or above This position has 0 Direct Reports Travel Requirements: Typically requires overnight travel less than 10% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Preferred Qualifications: PhD in a quantitative field (Computer Science, Math, Statistics, etc.) 6+ years of experience in business intelligence and analytics Working knowledge of Microsoft Excel and Power Point Proficient in a modern scripting language (preferably Python) Proficient running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Mastery utilizing statistical techniques to identify key insights that help solve business problems Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Demonstrated proficiency in predictive modeling, data mining and data analysis Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 5 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Collaborates: Building partnerships and working collaboratively with others to meet shared objectives Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Cultivates Innovation: Creating new and better ways for the organization to be successful Customer Focus: Building strong customer relationships and delivering customer-centric solutions Develops Talent: Developing people to meet both their career goals and the organization's goals Directs Work: Provides direction, delegating and removing obstacles to get work done Drives Results: Consistently achieving results, even under tough circumstances Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

Senior Data Scientist - Decision Analytics, Pro

<div>Work Location:
Southfield, Michigan, United States of America
Hours:
40
Pay Details:
$148,720 - $223,080 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, &amp; Artificial Intelligence
Job Description:
The Principal Data Scientist is responsible for collecting data and using a wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning.
In addition, the Principal Data Scientist provides technical expertise with a focus on bank and industry-wide solutions that addresses capability gaps to create opportunities for significant value for customers.
Own end-to-end decisioning and pricing optimization engine, use large-scale historical and market data to form hypotheses, conduct analyses, develop machine learning models, evaluate and implement model and drive business decisions
Analyze large-scale data and apply statistical models to recommend insights and solve business objectives
Collaborate with business partners to identify and refine business strategies, analyze alternative deal structures and deliver business P&amp;L expectations
Stay up to date on industry trends and optimization methodologies in auto finance markets
Depth &amp; Scope:
<ul><li>Delivers advanced analytical capabilities above and beyond existing methods
</li><li>Exceptionally leads and runs analytical projects autonomously and creates and effectively delivers analytical presentations for executive audiences/stakeholders
</li><li>Showcases advance level peer leadership, impacts and influences partner, and may mentor/coach peers
</li><li>Extensive understanding of the business supported and the overall bank with deep expertise and highly specialized knowledge of analytical concepts and techniques
</li><li>Acts as a key business partner, guides and collaborates with business leaders to prioritize and identify key business needs and provides impactful analytical insights
</li><li>Leads authority on Data Science concepts, principals, practices and standards
</li><li>Thought leader on IT risk-based approaches to Data Science
</li><li>Sets the direction and oversees the work of other Data Science professionals on complex, highly visible projects of significant profile, strategic importance, and enterprise impact to the bank
</li><li>Provides consultative and strategic guidance to executive leadership
</li><li>Principal Data Science assigned to work autonomously on high profile, complex and high-risk technology initiatives with significant impact to the organization
</li><li>Primarily works at the enterprise level
</li></ul>Education &amp; Experience:
<ul><li>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;
</li><li>10+ year of relevant experience; higher degree education and research tenure can be counted
</li></ul>Customer Accountabilities:
<ul><li>Works closely with business owners to identify opportunities and serves as an ambassador for data science
</li><li>Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions
</li><li>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
</li><li>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
</li><li>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
</li><li>Provides deep technical leadership and expertise to support and define future direction in one or more specialized areas or leads strategic development efforts on new or emerging data science related projects
</li><li>Plays a lead role on cross functional teams of data scientists, data analysts, data engineers, and business process owners to build cutting edge analytic solutions
</li></ul>Shareholder Accountabilities:
<ul><li>Provides analytical thought leadership and stays current on developments in data mining and the application of data science
</li><li>Provides thought leadership and/or broad industry knowledge across multiple business/functional areas or across the enterprise
</li><li>Applies industry/analytical expertise to provide innovative and sound solutions that increases business results and/or minimizes risk
</li><li>Identifies new analytical trends/data needs and repeatable analytic solutions and works with stakeholders to generate hypothesis and creates analytical models that help answer impactful business questions
</li><li>Protects the interests of the organization &ndash; identifies and manages risks, and escalates non-standard, high-risk activities as necessary
</li><li>Accountable for creating and implementing processes and systems to extract knowledge or insights from data of various forms either structured or unstructured
</li><li>Employs techniques and theories drawn on many fields within the broad areas of mathematics and statistics
</li><li>Adheres to enterprise frameworks or methodologies that relates to activities for business area
</li><li>Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations
</li><li>Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues
</li><li>Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements
</li><li>Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts
</li><li>Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite
</li></ul>Employee/Team Accountabilities:
<ul><li>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
</li><li>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
</li><li>Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques
</li><li>Participates in personal performance management and development activities, including cross training within own team
</li><li>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
</li><li>Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices
</li><li>Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships
</li><li>Contributes to a fair, positive and equitable environment that supports a diverse workforce
</li><li>Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally
</li></ul>Physical Requirements:
Never: 0%; Occasional: 1-33%; Frequent: 34-66%; Continuous: 67-100%
<ul><li>Domestic Travel &ndash; Occasional
</li><li>International Travel &ndash; Never
</li><li>Performing sedentary work &ndash; Continuous
</li><li>Performing multiple tasks &ndash; Continuous
</li><li>Operating standard office equipment - Continuous
</li><li>Responding quickly to sounds &ndash; Occasional
</li><li>Sitting &ndash; Continuous
</li><li>Standing &ndash; Occasional
</li><li>Walking &ndash; Occasional
</li><li>Moving safely in confined spaces &ndash; Occasional
</li><li>Lifting/Carrying (under 25 lbs.) &ndash; Occasional
</li><li>Lifting/Carrying (over 25 lbs.) &ndash; Never
</li><li>Squatting &ndash; Occasional
</li><li>Bending &ndash; Occasional
</li><li>Kneeling &ndash; Never
</li><li>Crawling &ndash; Never
</li><li>Climbing &ndash; Never
</li><li>Reaching overhead &ndash; Never
</li><li>Reaching forward &ndash; Occasional
</li><li>Pushing &ndash; Never
</li><li>Pulling &ndash; Never
</li><li>Twisting &ndash; Never
</li><li>Concentrating for long periods of time &ndash; Continuous
</li><li>Applying common sense to deal with problems involving standardized situations &ndash; Continuous
</li><li>Reading, writing and comprehending instructions &ndash; Continuous
</li><li>Adding, subtracting, multiplying and dividing &ndash; Continuous
</li></ul>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 &amp; 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 strive to make every interaction, product, and experience remarkably human and refreshingly simple for 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 foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.
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&rsquo;re delighted that you&rsquo;re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we&rsquo;re committed to providing the support our colleagues need to thrive both at work and at home.
 
 
Colleague Development
If you&rsquo;re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You&rsquo;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. 
If you&rsquo;re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.
We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.
Training &amp; Onboarding
 
We will provide training and onboarding sessions to ensure that you&rsquo;ve got everything you need to succeed in your new role.
 
 
Interview Process
 
We&rsquo;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
TD Bank 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, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.
If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at USWAPTDO@td.com . Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.</div>

Principal Data Scientist (US)

TANGENTTECH

We have an immediate opening for a Senior Data Scientist with one of our clients. If your candidate's experience aligns with the requirements below, please reply with your updated resume, contact number, and a convenient time to discuss the opportunity.Role: Senior Data ScientistDuration: 12+ months Location: Remote role EST hoursVisa: GC/USC is preferred but H1B works too.Role Type: Individual Contributor (Business‑Facing)Job OverviewWe are seeking a seasoned Senior Data Scientist for an urgent contract to support critical GTM, Marketing, and Customer Success initiatives. This is not a product engineering role. It is a business‑facing, analytics‑driven position focused on developing, enhancing, and operationalizing lead scoring and propensity‑to‑buy models that directly influence revenue‑generating teams. The ideal candidate combines strong machine‑learning expertise with exceptional business communication skills and can operate independently in a fast‑paced, cross‑functional environmentKey Responsibilities:<ul><li>Partner closely with GTM, Marketing, and Customer Success teams to understand business goals and translate them into actionable data science solutions</li><li>Build, refine, and operationalize lead scoring, propensity‑to‑buy, and other commercial ML models using Salesforce data, third‑party data providers, and enterprise data sources</li><li>Maintain and enhance existing ML models to ensure continuity, stability, and improved performance</li><li>Create clear business and technical artifacts, including</li></ul>&Oslash; Data flows&Oslash; Customer archetypes&Oslash; Model outputs&Oslash; Analytical insights and recommendations<ul><li>Communicate model results and data‑driven insights in simple, non‑technical language tailored for business audiences</li><li>Collaborate with external data vendors to evaluate, integrate, and manage third‑party datasets</li><li>Work independently to quickly understand existing pipelines, ramp up fast, and contribute immediately</li></ul>Required Skills &amp; Experiencs<ul><li>Strong business communication skills &mdash; able to engage independently with GTM, Marketing, Customer Success, data vendors, and cross‑functional teams.</li><li>Nice to have is experience building propensity‑to‑buy, lead scoring, conversion likelihood, or similar commercial ML models.</li><li>Hands‑on experience with Snowflake Cortex ML or similar ML platforms.</li><li>Advanced proficiency in SQL, Python, and Jupyter Notebooks.</li><li>Experience operationalizing models using Salesforce and enterprise data sources.</li><li>Ability to quickly understand existing models and enhance them without disrupting production workflows.</li><li>Demonstrated ability to produce clear business‑facing documentation and technical artifacts</li><li>Comfortable working in a large‑scale, cross‑functional environment with multiple stakeholders.</li></ul>Ideal CandidateA senior, business‑savvy data scientist who thrives at the intersection of analytics, machine learning, and GTM strategy. Someone who can communicate clearly, operate independently, and deliver immediate value by supporting revenue‑driving teams with actionable, data‑driven insightsIf this opportunity interests you, please send your updated resume along with your contact details at Sales@TangentTechs.com with cc To Skills.eHub@gmail.com .Pay: $80.00 - $85.00 per hourWork Location: Remote

Senior Data Scientist

Three Dimension Physical Performance

<div><div>Job Summary:</div><div>
We are currently hiring a highly skilled and experienced Sport Scientist &amp; Data Analyst to join our dynamic team at 3Dimensions. If you're passionate about optimizing athletic performance through science and data, we want to hear from you! 
 
Key Responsibilities:</div><ul><li>
He will oversee and optimize fitness programs and lead the integration of scientific principles into training protocols.</li><li>
Supervise a team of trainers and provide strategic insights to enhance overall fitness outcomes.</li></ul><div> 

Requirements:</div><ul><li>
Education: Bachelor's in Sports Science, Exercise Physiology, or a related field. MSC preferred.</li><li>
Certification: Certified as a sport scientist and trainer in the candidate's home country, with additional certifications in data analysis preferred.</li><li>
Minimum 2-4 years of experience in a fitness or sports training environment, with significant experience in a senior or supervisory role.</li></ul></div><div></div>

Sports Scientist and Data Analyst

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