OVERVIEW & RESPONSIBILITIES
Under the mentorship of the Executive Director of Global Analytics and Data Science, this role is centered on developing machine learning models, advanced analytics tools, web applications, and backend engineering infrastructure. These initiatives are momentous in shaping strategies across Production, Marketing, and Distribution at Paramount Pictures. The ideal candidate is a data scientist who relishes the challenge of defining and solving complex mathematical problems and applying these solutions to real-world business challenges. Your contributions will be indispensable in delivering best-in-class, big data-driven insights and AI products within the movie industry.
Data Analysis and Metric Development: Apply large datasets to develop and refine robust key performance indicators that monitor marketing initiatives, box office performance, and other pertinent metrics across both domestic and international markets.
Automation and Visualization: Automate the calculation and visualization of these preeminent metrics for routine reporting, ensuring they deliver reliable and actionable insights.
Machine Learning and Statistical Modeling: Conduct research, recommend, and implement machine learning and statistical models to support various business initiatives. Ensure the appropriate application of innovative models with academic rigor that are well-suited to our business use cases.
Dashboard and Application Development: Design and create advanced Tableau dashboards and applications that effectively communicate analytical insights to a broad spectrum of partners, from business analysts to C-suite executives. This responsibility includes architecting and developing robust backend calculation pipelines that support the functionality and scalability of these dashboards and applications.
Partner Communication: Reliably present technical results and strategic insights to both technical and non-technical allies. Collaborate closely with data engineers to secure high-quality data and to understand the orchestration environment for calculation pipeline deployment. Partner with business analysts to translate business requests into technical specifications.
BASIC QUALIFICATIONS
Educational Background: Possess a graduate degree in Data Science, Computer Science, Business Analytics, Statistics, Economics, Applied Mathematics, or a related quantitative field from a prestigious institution.
Professional Experience: Minimum of six months of industry or internship experience in a data science or machine learning engineering role, demonstrating strong proficiency in Python, SQL, and version control using Git.
Technical Skills: Tried ability to independently fit, evaluate, and interpret statistical and machine learning models within a business context.
Communication Skills: Excellent verbal and written communication skills, crucial for documenting findings and fostering effective daily collaborations.
Project Management: Ability to prioritize and meet deadlines in a dynamic environment.
Attention to Detail: Prodigious attention to detail, ensuring precision in data analysis, model development, and reporting.
ADDITIONAL QUALIFICATIONS
Data orchestration tools such as Airflow.
Data warehousing solutions like Snowflake.
Cloud services, including Amazon Web Services (AWS) and Google Cloud Platform (GCP).
Development environments like Visual Studio Code.
Programming skills in HTML, C, or Java.
Web application development.
Data pipeline ingestion processes.
A high degree of curiosity and motivation to learn new technologies and methodologies.
Stellar problem-solving skills and logical thinking.
A strong interest in AI and enthusiasm for AI product development.
ADDITIONAL INFORMATION
Hiring Salary Range: $110,000.00 - 125,000.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.
Paramount is an equal opportunity employer (EOE) including disability/vet. At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
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Senior Data Scientist - Product Analytics Employer: Expedia GroupLocation: Seattle, Washington, United StatesSalary: USD 173,000.00 - 242,500.00; USD 277,000.00Closing date: 9 Dec 2024Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.Why Join Us?To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a global hybrid work setup (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We`re building a more open world. Join us.Senior Data Scientist, Product AnalyticsAre you excited by the opportunity to pioneer the future of travel? Do you want to redefine the way people plan, search for, and book their travel? At Expedia Group, we believe that travel brings the world together and are passionate about endless possibilities.Introduction to teamExpedia Product & Technology builds innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction.This role is a great opportunity to join our global Product Analytics and Experimentation team, where we are obsessed with user experience optimization! The Trips and Growth Analytics team focuses on using the power of data to improve the customer experience throughout the Shopping path on all Expedia Brands. This is a role working cross-functionally to deliver great features to our customers on the Expedia brands.In this role, you will:Apply your expertise in quantitative analysis, data mining, ML programming, data visualization with a goal of improving customer experience.Own end to end process in designing and running complex experiments (A/B tests, Pre-Post, Interleaving), proactively see opportunities and recommend new features for test and learn.Collaborate across the analytics community to define how we embed new metrics and methodologies into our experimentation culture.Lead key strategic projects within the shopping experience to support goal setting, opportunity sizing, product performance review and ultimately 2025 EG product strategy.Work with multiple stakeholders, manage product analytics projects, and operate within a community of analysts, sharing findings, wins and methodologies.As the most senior individual contributor in the team, raise the bar in prescriptive and predictive insights across product analytics, leading by examples and coaching more junior analysts.Influence action and results, through clear writing, in an accessible way for a wide audience. Structure presentations around a clear and concise narrative, present clearly and engagingly, anticipating questions.Experience and qualifications:Excellent logical thinking, a very strong background (Bachelor`s/Master`s degree) in a quantitative field such as mathematics, statistics, physics, engineering, operations research, data science or similar and 6+ years of experience in industry or equivalent.Expert with Python, Scala or R, or any other major machine learning programming language.Expert in statistical analysis and experimentation, segmentation, computational systems, optimization techniques and interpretation of machine learning models such as propensity modelling and forecasting techniques.High performing and influential individual contributor who leads by example while continuing to mentor junior data scientists, interfaces consistently with product & tech leadership, leads complex and vaguely defined projects, and stretches into team leadership skills.Creative and analytical in thinking with a love for data, to both disagree with and convince senior partners backed by data.Excellent verbal, written and data visualization skills.Ability to manage projects with different functions (product, strategy, engineering, etc.), prioritize among conflicting demands and be comfortable with ambiguity.The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual`s knowledge, skills, and experience. Pay ranges may be modified in the future.Accommodation requestsIf you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.Expedia Group's family of brands includes: Brand Expediareg;, Hotels.comreg;, Expediareg; Partner Solutions, Vrboreg;, trivagoreg;, Orbitzreg;, Travelocityreg;, Hotwirereg;, Wotifreg;, ebookersreg;, CheapTicketsreg;, Expedia Group Media Solutions, Expedia Local Expertreg;, CarRentals.com, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50.Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.#J-18808-Ljbffr

Senior Data Scientist - Product Analytics   Employer:  Expedia Group
Location:  Seattle, Washington, United States
Salary:  USD 173,000.00 - 242,500.00; USD 277,000.00
Closing date:  9 Dec 2024
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a global hybrid work setup (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We`re building a more open world. Join us.
Senior Data Scientist, Product Analytics
Are you excited by the opportunity to pioneer the future of travel? Do you want to redefine the way people plan, search for, and book their travel? At Expedia Group, we believe that travel brings the world together and are passionate about endless possibilities.
Introduction to team
Expedia Product & Technology builds innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction.
This role is a great opportunity to join our global Product Analytics and Experimentation team, where we are obsessed with user experience optimization! The Trips and Growth Analytics team focuses on using the power of data to improve the customer experience throughout the Shopping path on all Expedia Brands. This is a role working cross-functionally to deliver great features to our customers on the Expedia brands.
In this role, you will:
Apply your expertise in quantitative analysis, data mining, ML programming, data visualization with a goal of improving customer experience.
Own end to end process in designing and running complex experiments (A/B tests, Pre-Post, Interleaving), proactively see opportunities and recommend new features for test and learn.
Collaborate across the analytics community to define how we embed new metrics and methodologies into our experimentation culture.
Lead key strategic projects within the shopping experience to support goal setting, opportunity sizing, product performance review and ultimately 2025 EG product strategy.
Work with multiple stakeholders, manage product analytics projects, and operate within a community of analysts, sharing findings, wins and methodologies.
As the most senior individual contributor in the team, raise the bar in prescriptive and predictive insights across product analytics, leading by examples and coaching more junior analysts.
Influence action and results, through clear writing, in an accessible way for a wide audience. Structure presentations around a clear and concise narrative, present clearly and engagingly, anticipating questions.
Experience and qualifications:
Excellent logical thinking, a very strong background (Bachelor`s/Master`s degree) in a quantitative field such as mathematics, statistics, physics, engineering, operations research, data science or similar and 6+ years of experience in industry or equivalent.
Expert with Python, Scala or R, or any other major machine learning programming language.
Expert in statistical analysis and experimentation, segmentation, computational systems, optimization techniques and interpretation of machine learning models such as propensity modelling and forecasting techniques.
High performing and influential individual contributor who leads by example while continuing to mentor junior data scientists, interfaces consistently with product & tech leadership, leads complex and vaguely defined projects, and stretches into team leadership skills.
Creative and analytical in thinking with a love for data, to both disagree with and convince senior partners backed by data.
Excellent verbal, written and data visualization skills.
Ability to manage projects with different functions (product, strategy, engineering, etc.), prioritize among conflicting demands and be comfortable with ambiguity.
The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual`s knowledge, skills, and experience. Pay ranges may be modified in the future.
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group's family of brands includes: Brand Expediareg;, Hotels.comreg;, Expediareg; Partner Solutions, Vrboreg;, trivagoreg;, Orbitzreg;, Travelocityreg;, Hotwirereg;, Wotifreg;, ebookersreg;, CheapTicketsreg;, Expedia Group Media Solutions, Expedia Local Expertreg;, CarRentals.com, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.

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Data Scientist, Fundamental Equity Technology Team, Associate   About this role
BlackRock is one of the world's preeminent asset management firms and a premier provider of global investment management, risk management, and advisory services to institutional, intermediary, and individual investors around the world. BlackRock's mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients.

Role Overview:  We are seeking a highly skilled and motivated Data Lead to join our Fundamental Equity Tech team. This role is pivotal in designing, managing, and expanding our Research & Data Platform (RDP), which is integral to the decision-making process across the fund & its stakeholders. The ideal candidate will have a deep understanding of both front-end and back-end technologies, an entrepreneurial mindset, and the drive to be at the cutting edge of technology and AI.

Key Responsibilities:
Design & Maintain the Research & Data Platform (RDP):
Architect and manage the RDP, ensuring it meets the needs of various stakeholders, including Portfolio Managers, Research Analysts, Product Strategists, and CIOs. The platform is used by 20+ different users and receives 8,000+ views each year.
Utilize front-end toolkits such as Tableau & Miro (key), and optionally JavaScript, Streamlit, RShiny, Flask, or other toolkits.
Manage back-end code, databases, and overall data infrastructure using Python and other relevant technologies. Knowledge of Aladdin & BlackRock infrastructure is a plus.
Full-Stack Technologist & AI Vanguard:
Lead the ownership and expansion of our tech ecosystem, including Miro, Tableau, Evernote, Airtable, Aladdin, Bloomberg, and other tools.
Continuously learn & demo cutting-edge tools, data vendors, and AI products.
Demonstrate a commitment to being in the top 1% of technologists and AI experts.
Entrepreneurial Mindset:
Proactively source and implement value-add ideas with fast turnaround.
Exhibit an eye for design, openness to critical feedback, and humility in all interactions.
Act as a tech ambassador across FE, working collaboratively with all stakeholders to drive innovation across the platform.
Perks:
Impact & Pride:  Contribute to an analytics platform that underpins over $20B in AUM and supports meetings with global CEOs and investment clients.
Growth & Education:  Receive coaching from a team that engages with 1000+ of the largest tech and AI companies globally, keeping you at the forefront of technological advancements.
Qualifications:
Experience in full-stack development, with expertise in both front-end and back-end technologies.
Strong proficiency in Python, databases (SQL, GCP, Azure), and relevant front-end frameworks (Tableau, JavaScript, Streamlit, RShiny, Flask, etc.).
Demonstrated ability to collaborate across teams and functions, with an entrepreneurial approach to problem-solving.
A keen eye for design, with the ability to incorporate feedback and iterate quickly.
Experience with tools like Tableau, Miro, Aladdin, Evernote, Similarweb, Airtable, FactSet, and Bloomberg is highly desirable.
Deep passion for technology and a relentless drive to be at the cutting edge of AI and data science.
For California only the salary range for this position is $115,000 - $147,500. Additionally, employees are eligible for an annual discretionary bonus, and benefits including health care, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department, and individual performance.

Our benefits
To help you stay energized, engaged, and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off (FTO) so you can relax, recharge, and be there for the people you care about.

Our hybrid work model
BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes, and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued, and supported with networks, benefits, and development opportunities to help them thrive.

BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

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<h3>Senior Data Scientist - Product Analytics</h3>Employer: Expedia Group Location: Seattle, Washington, United States Salary: USD 173,000.00 - 242,500.00; USD 277,000.00 Closing date: 9 Dec 2024Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a global hybrid work setup (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We`re building a more open world. Join us.Senior Data Scientist, Product Analytics Are you excited by the opportunity to pioneer the future of travel? Do you want to redefine the way people plan, search for, and book their travel? At Expedia Group, we believe that travel brings the world together and are passionate about endless possibilities.Introduction to team Expedia Product & Technology builds innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction.This role is a great opportunity to join our global Product Analytics and Experimentation team, where we are obsessed with user experience optimization! The Trips and Growth Analytics team focuses on using the power of data to improve the customer experience throughout the Shopping path on all Expedia Brands. This is a role working cross-functionally to deliver great features to our customers on the Expedia brands.In this role, you will:<ol><li>Apply your expertise in quantitative analysis, data mining, ML programming, data visualization with a goal of improving customer experience.</li><li>Own end to end process in designing and running complex experiments (A/B tests, Pre-Post, Interleaving), proactively see opportunities and recommend new features for test and learn.</li><li>Collaborate across the analytics community to define how we embed new metrics and methodologies into our experimentation culture.</li><li>Lead key strategic projects within the shopping experience to support goal setting, opportunity sizing, product performance review and ultimately 2025 EG product strategy.</li><li>Work with multiple stakeholders, manage product analytics projects, and operate within a community of analysts, sharing findings, wins and methodologies.</li><li>As the most senior individual contributor in the team, raise the bar in prescriptive and predictive insights across product analytics, leading by examples and coaching more junior analysts.</li><li>Influence action and results, through clear writing, in an accessible way for a wide audience. Structure presentations around a clear and concise narrative, present clearly and engagingly, anticipating questions.</li></ol>Experience and qualifications:<ol><li>Excellent logical thinking, a very strong background (Bachelor`s/Master`s degree) in a quantitative field such as mathematics, statistics, physics, engineering, operations research, data science or similar and 6+ years of experience in industry or equivalent.</li><li>Expert with Python, Scala or R, or any other major machine learning programming language.</li><li>Expert in statistical analysis and experimentation, segmentation, computational systems, optimization techniques and interpretation of machine learning models such as propensity modelling and forecasting techniques.</li><li>High performing and influential individual contributor who leads by example while continuing to mentor junior data scientists, interfaces consistently with product & tech leadership, leads complex and vaguely defined projects, and stretches into team leadership skills.</li><li>Creative and analytical in thinking with a love for data, to both disagree with and convince senior partners backed by data.</li><li>Excellent verbal, written and data visualization skills.</li><li>Ability to manage projects with different functions (product, strategy, engineering, etc.), prioritize among conflicting demands and be comfortable with ambiguity.</li></ol>The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual`s knowledge, skills, and experience. Pay ranges may be modified in the future.Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.Expedia Group's family of brands includes: Brand Expediareg;, Hotels.comreg;, Expediareg; Partner Solutions, Vrboreg;, trivagoreg;, Orbitzreg;, Travelocityreg;, Hotwirereg;, Wotifreg;, ebookersreg;, CheapTicketsreg;, Expedia Group Media Solutions, Expedia Local Expertreg;, CarRentals.com, and Expedia Cruises. 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50.Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.
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<h3>Data Scientist, Fundamental Equity Technology Team, Associate</h3>About this role BlackRock is one of the world's preeminent asset management firms and a premier provider of global investment management, risk management, and advisory services to institutional, intermediary, and individual investors around the world. BlackRock's mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients. Role Overview: We are seeking a highly skilled and motivated Data Lead to join our Fundamental Equity Tech team. This role is pivotal in designing, managing, and expanding our Research & Data Platform (RDP), which is integral to the decision-making process across the fund & its stakeholders. The ideal candidate will have a deep understanding of both front-end and back-end technologies, an entrepreneurial mindset, and the drive to be at the cutting edge of technology and AI. Key Responsibilities:<ol><li>Design & Maintain the Research & Data Platform (RDP): Architect and manage the RDP, ensuring it meets the needs of various stakeholders, including Portfolio Managers, Research Analysts, Product Strategists, and CIOs. The platform is used by 20+ different users and receives 8,000+ views each year.</li><li>Utilize front-end toolkits such as Tableau & Miro (key), and optionally JavaScript, Streamlit, RShiny, Flask, or other toolkits.</li><li>Manage back-end code, databases, and overall data infrastructure using Python and other relevant technologies. Knowledge of Aladdin & BlackRock infrastructure is a plus.</li></ol>Full-Stack Technologist & AI Vanguard:<ol><li>Lead the ownership and expansion of our tech ecosystem, including Miro, Tableau, Evernote, Airtable, Aladdin, Bloomberg, and other tools.</li><li>Continuously learn & demo cutting-edge tools, data vendors, and AI products.</li><li>Demonstrate a commitment to being in the top 1% of technologists and AI experts.</li></ol>Entrepreneurial Mindset:<ol><li>Proactively source and implement value-add ideas with fast turnaround.</li><li>Exhibit an eye for design, openness to critical feedback, and humility in all interactions.</li><li>Act as a tech ambassador across FE, working collaboratively with all stakeholders to drive innovation across the platform.</li></ol>Perks:<ol><li>Impact & Pride: Contribute to an analytics platform that underpins over $20B in AUM and supports meetings with global CEOs and investment clients.</li><li>Growth & Education: Receive coaching from a team that engages with 1000+ of the largest tech and AI companies globally, keeping you at the forefront of technological advancements.</li></ol>Qualifications:<ol><li>Experience in full-stack development, with expertise in both front-end and back-end technologies.</li><li>Strong proficiency in Python, databases (SQL, GCP, Azure), and relevant front-end frameworks (Tableau, JavaScript, Streamlit, RShiny, Flask, etc.).</li><li>Demonstrated ability to collaborate across teams and functions, with an entrepreneurial approach to problem-solving.</li><li>A keen eye for design, with the ability to incorporate feedback and iterate quickly.</li><li>Experience with tools like Tableau, Miro, Aladdin, Evernote, Similarweb, Airtable, FactSet, and Bloomberg is highly desirable.</li><li>Deep passion for technology and a relentless drive to be at the cutting edge of AI and data science.</li></ol>For California only the salary range for this position is $115,000 - $147,500. Additionally, employees are eligible for an annual discretionary bonus, and benefits including health care, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department, and individual performance. Our benefits To help you stay energized, engaged, and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off (FTO) so you can relax, recharge, and be there for the people you care about. Our hybrid work model BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes, and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued, and supported with networks, benefits, and development opportunities to help them thrive. BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
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OVERVIEW & RESPONSIBILITIES
Under the mentorship of the Executive Director of Global Analytics and Data Science, this role is centered on developing machine learning models, advanced analytics tools, web applications, and backend engineering infrastructure. These initiatives are momentous in shaping strategies across Production, Marketing, and Distribution at Paramount Pictures. The ideal candidate is a data scientist who relishes the challenge of defining and solving complex mathematical problems and applying these solutions to real-world business challenges. Your contributions will be indispensable in delivering best-in-class, big data-driven insights and AI products within the movie industry.
Data Analysis and Metric Development: Apply large datasets to develop and refine robust key performance indicators that monitor marketing initiatives, box office performance, and other pertinent metrics across both domestic and international markets.
Automation and Visualization: Automate the calculation and visualization of these preeminent metrics for routine reporting, ensuring they deliver reliable and actionable insights.
Machine Learning and Statistical Modeling: Conduct research, recommend, and implement machine learning and statistical models to support various business initiatives. Ensure the appropriate application of innovative models with academic rigor that are well-suited to our business use cases.
Dashboard and Application Development: Design and create advanced Tableau dashboards and applications that effectively communicate analytical insights to a broad spectrum of partners, from business analysts to C-suite executives. This responsibility includes architecting and developing robust backend calculation pipelines that support the functionality and scalability of these dashboards and applications.
Partner Communication: Reliably present technical results and strategic insights to both technical and non-technical allies. Collaborate closely with data engineers to secure high-quality data and to understand the orchestration environment for calculation pipeline deployment. Partner with business analysts to translate business requests into technical specifications.
BASIC QUALIFICATIONS
Educational Background: Possess a graduate degree in Data Science, Computer Science, Business Analytics, Statistics, Economics, Applied Mathematics, or a related quantitative field from a prestigious institution.
Professional Experience: Minimum of six months of industry or internship experience in a data science or machine learning engineering role, demonstrating strong proficiency in Python, SQL, and version control using Git.
Technical Skills: Tried ability to independently fit, evaluate, and interpret statistical and machine learning models within a business context.
Communication Skills: Excellent verbal and written communication skills, crucial for documenting findings and fostering effective daily collaborations.
Project Management: Ability to prioritize and meet deadlines in a dynamic environment.
Attention to Detail: Prodigious attention to detail, ensuring precision in data analysis, model development, and reporting.
ADDITIONAL QUALIFICATIONS
Data orchestration tools such as Airflow.
Data warehousing solutions like Snowflake.
Cloud services, including Amazon Web Services (AWS) and Google Cloud Platform (GCP).
Development environments like Visual Studio Code.
Programming skills in HTML, C, or Java.
Web application development.
Data pipeline ingestion processes.
A high degree of curiosity and motivation to learn new technologies and methodologies.
Stellar problem-solving skills and logical thinking.
A strong interest in AI and enthusiasm for AI product development.
ADDITIONAL INFORMATION
Hiring Salary Range: $110,000.00 - 125,000.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.
Paramount is an equal opportunity employer (EOE) including disability/vet. At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.

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OVERVIEW & RESPONSIBILITIESUnder the mentorship of the Executive Director of Global Analytics and Data Science, this role is centered on developing machine learning models, advanced analytics tools, web applications, and backend engineering infrastructure. These initiatives are momentous in shaping strategies across Production, Marketing, and Distribution at Paramount Pictures. The ideal candidate is a data scientist who relishes the challenge of defining and solving complex mathematical problems and applying these solutions to real-world business challenges. Your contributions will be indispensable in delivering best-in-class, big data-driven insights and AI products within the movie industry.<ul><li>Data Analysis and Metric Development: Apply large datasets to develop and refine robust key performance indicators that monitor marketing initiatives, box office performance, and other pertinent metrics across both domestic and international markets.</li><li>Automation and Visualization: Automate the calculation and visualization of these preeminent metrics for routine reporting, ensuring they deliver reliable and actionable insights.</li><li>Machine Learning and Statistical Modeling: Conduct research, recommend, and implement machine learning and statistical models to support various business initiatives. Ensure the appropriate application of innovative models with academic rigor that are well-suited to our business use cases.</li><li>Dashboard and Application Development: Design and create advanced Tableau dashboards and applications that effectively communicate analytical insights to a broad spectrum of partners, from business analysts to C-suite executives. This responsibility includes architecting and developing robust backend calculation pipelines that support the functionality and scalability of these dashboards and applications.</li><li>Partner Communication: Reliably present technical results and strategic insights to both technical and non-technical allies. Collaborate closely with data engineers to secure high-quality data and to understand the orchestration environment for calculation pipeline deployment. Partner with business analysts to translate business requests into technical specifications.</li></ul>BASIC QUALIFICATIONS<ul><li>Educational Background: Possess a graduate degree in Data Science, Computer Science, Business Analytics, Statistics, Economics, Applied Mathematics, or a related quantitative field from a prestigious institution.</li><li>Professional Experience: Minimum of six months of industry or internship experience in a data science or machine learning engineering role, demonstrating strong proficiency in Python, SQL, and version control using Git.</li><li>Technical Skills: Tried ability to independently fit, evaluate, and interpret statistical and machine learning models within a business context.</li><li>Communication Skills: Excellent verbal and written communication skills, crucial for documenting findings and fostering effective daily collaborations.</li><li>Project Management: Ability to prioritize and meet deadlines in a dynamic environment.</li><li>Attention to Detail: Prodigious attention to detail, ensuring precision in data analysis, model development, and reporting.</li></ul>ADDITIONAL QUALIFICATIONS<ul><li>Data orchestration tools such as Airflow.</li><li>Data warehousing solutions like Snowflake.</li><li>Cloud services, including Amazon Web Services (AWS) and Google Cloud Platform (GCP).</li><li>Development environments like Visual Studio Code.</li><li>Programming skills in HTML, C, or Java.</li><li>Web application development.</li><li>Data pipeline ingestion processes.</li><li>A high degree of curiosity and motivation to learn new technologies and methodologies.</li><li>Stellar problem-solving skills and logical thinking.</li><li>A strong interest in AI and enthusiasm for AI product development.</li></ul>ADDITIONAL INFORMATIONHiring Salary Range: $110,000.00 - 125,000.00. The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible.Paramount is an equal opportunity employer (EOE) including disability/vet. At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.
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<h3>Data Scientist, Fundamental Equity Technology Team, Associate </h3>About this role BlackRock is one of the world's preeminent asset management firms and a premier provider of global investment management, risk management, and advisory services to institutional, intermediary, and individual investors around the world. BlackRock's mission is to create a better financial future for our clients. We have a responsibility to be the voice of the investor, and we represent each client fairly and equally. Constant communication with a diverse team of partners strengthens us and delivers better results for our clients. Continuous innovation helps us bring the best of BlackRock to our clients. Role Overview: We are seeking a highly skilled and motivated Data Lead to join our Fundamental Equity Tech team. This role is pivotal in designing, managing, and expanding our Research & Data Platform (RDP), which is integral to the decision-making process across the fund & its stakeholders. The ideal candidate will have a deep understanding of both front-end and back-end technologies, an entrepreneurial mindset, and the drive to be at the cutting edge of technology and AI. Key Responsibilities: <ol><li>Design & Maintain the Research & Data Platform (RDP): Architect and manage the RDP, ensuring it meets the needs of various stakeholders, including Portfolio Managers, Research Analysts, Product Strategists, and CIOs. The platform is used by 20+ different users and receives 8,000+ views each year. </li><li>Utilize front-end toolkits such as Tableau & Miro (key), and optionally JavaScript, Streamlit, RShiny, Flask, or other toolkits. </li><li>Manage back-end code, databases, and overall data infrastructure using Python and other relevant technologies. Knowledge of Aladdin & BlackRock infrastructure is a plus. </li> </ol>Full-Stack Technologist & AI Vanguard: <ol><li>Lead the ownership and expansion of our tech ecosystem, including Miro, Tableau, Evernote, Airtable, Aladdin, Bloomberg, and other tools. </li><li>Continuously learn & demo cutting-edge tools, data vendors, and AI products. </li><li>Demonstrate a commitment to being in the top 1% of technologists and AI experts. </li> </ol>Entrepreneurial Mindset: <ol><li>Proactively source and implement value-add ideas with fast turnaround. </li><li>Exhibit an eye for design, openness to critical feedback, and humility in all interactions. </li><li>Act as a tech ambassador across FE, working collaboratively with all stakeholders to drive innovation across the platform. </li> </ol>Perks: <ol><li>Impact & Pride: Contribute to an analytics platform that underpins over $20B in AUM and supports meetings with global CEOs and investment clients. </li><li>Growth & Education: Receive coaching from a team that engages with 1000+ of the largest tech and AI companies globally, keeping you at the forefront of technological advancements. </li> </ol>Qualifications: <ol><li>Experience in full-stack development, with expertise in both front-end and back-end technologies. </li><li>Strong proficiency in Python, databases (SQL, GCP, Azure), and relevant front-end frameworks (Tableau, JavaScript, Streamlit, RShiny, Flask, etc.). </li><li>Demonstrated ability to collaborate across teams and functions, with an entrepreneurial approach to problem-solving. </li><li>A keen eye for design, with the ability to incorporate feedback and iterate quickly. </li><li>Experience with tools like Tableau, Miro, Aladdin, Evernote, Similarweb, Airtable, FactSet, and Bloomberg is highly desirable. </li><li>Deep passion for technology and a relentless drive to be at the cutting edge of AI and data science. </li> </ol>For California only the salary range for this position is $115,000 - $147,500. Additionally, employees are eligible for an annual discretionary bonus, and benefits including health care, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department, and individual performance. Our benefits To help you stay energized, engaged, and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off (FTO) so you can relax, recharge, and be there for the people you care about. Our hybrid work model BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes, and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued, and supported with networks, benefits, and development opportunities to help them thrive. BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. #J-18808-Ljbffr

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