Fulltime Data Scientist openings in Los Angeles on September 10, 2022

Data Scientist at Bank of America

Location: Los Angeles

Job Description:

The Enterprise Credit Analytics & Transformation Strategy (ECATS) team is part of the Enterprise Credit organization. The primary focus of the ECATS team is to produce and communicate high-quality, fit-for-use, and concise data and information related to Global Banking and Enterprise Credit. This team is responsible for defining and enhancing Enterprise Credit data processes, including platforms, reporting, governance, data management and data remediation.

This Senior Data Scientist role supports the ECATS Data Initiative and Strategy (DIS) team with a focus on supporting Model Data Development. The Senior Data Scientist will oversee and participate in impact assessments and data analysis, lead data remediation efforts, drive prioritization and reporting of data quality issues, and engage with business and technical stakeholders. The scope of work includes defining how data is managed and sourced across multiple upstream lines of business and within the Enterprise Credit data infrastructure. Responsibilities include supporting adherence to enterprise data quality standards, as well as, identification of capture, transport and data use issues. Additional responsibilities include defining value-added analytics and solutions that support revenue generation, risk management, operational efficiency, regulatory compliance, portfolio management, and research. Interaction and direction of supporting Technology teams will be expected. Knowledge of Enterprise Credit processes, organizations, data and systems is required. Traditional systems analysis skills are a plus.

Required Skills:
• Data management experience (data quality, metadata management, governance, etc.)
• Highly organized; able to effectively prioritize and balance multiple efforts in a fast-paced, regulatory driven environment
• Experience with credit-related processes and systems including the distribution/use of credit data for analytics, modeling, and reporting
• Highly motivated, proactive and a self-starter; strong sense of ownership & ability to create and execute plans without daily oversight
• Experience interacting with very sophisticated senior business users and quantitative modelers
• Critical thinker; ability to analyze problems and identify both tactical and strategic solutions to address
• 10+ years of extensive data analysis experience with advanced SQL skills
• Strong Microsoft Office Suite (Excel, Powerpoint, Visio, etc.) experience
• Strong understanding of data relationships
• Excellent verbal and written communication skills. Developing an executive presence
• General knowledge of bank financial practices and policies

Desired Skills:
• Degree in business, computer science or related discipline
• In-depth experience with Wholesale Credit products and functions; familiarity with Wholesale Credit policies and procedures
• Familiarity with Wholesale Credit systems
• Project management and/or process design experience
• Knowledge of python/pandas, R, Alteryx, Trifacts or other data preparation environment a plus
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Data Scientist III at BLUE ORIGIN

Location: Los Angeles

We are a diverse team of collaborators, doers, and problem-solvers who are relentlessly committed to a culture of safety. This position will directly impact the history of space exploration and will require your commitment and detailed attention towards safe and repeatable space flight. Join us in lowering the cost of access to space and enabling Blue Origin’s vision of millions of people living and working in space to benefit Earth.

As part of a hardworking team of diverse specialists you’ll contribute to the development of Blue Origins data strategy, help design and test best practices for teams working on data science problems. This team will generate and deliver insights to the entirety of the organization while focusing on driving emerging technology and data practices to the business.

We are looking for an experienced Data Scientist to apply their technical expertise, leadership skills, and dedication to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!

Qualifications
• 5+ years professional experience in data science
• 4+ year hands-on experience building scalable predictive models on real-world data
• Ability to explain solutions to non-technical & technical customers
• Ability to deploy solutions (Gitlab/Docker/Kubernetes)
• Authority in applying statistical, data-processing, or ML libraries from open source software (e.g. R, Python, etc.)
• Solid understanding in basic statistics and application of various statistical testing
• Solid understanding in some of statistical or ML modeling approaches (supervised, unsupervised, generative, semi-supervised, self-supervised, etc.)
• Experience in some of the advanced ML modeling techniques and tools such as (but not limited to):
• – Tree-based ensemble modeling (xgboost, catboost, lightgbm, etc)
• – Neural networks (pytorch, keras, tensorflow, etc)
• Comfortable getting and preparing data; this includes using SQL as well as dealing with unstructured data that might require calling REST APIs, or writing custom scripts
• Willingness to extend beyond core data science work to perform (data wrangling, data prep and data transfers)
• Ability to demonstrate emotional intelligence, concern and meet customers’ needs with context to their challenge/opportunity
• Take ownership of work and operate under minimal direction, including working with stakeholders on the production floor
• Ability to assess the effectiveness and accuracy of current and new data sources and data gathering techniques
• Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusion
• Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Desired
• Masters or PhD preferred in Physics, Math, Engineering, or other STEM
• Experience productizing vision-based models (images or videos from various image sensors)
• Experience in time-series big-data processing and modeling
• Experience in applying explainability techniques to deep learning models
• Experience in sophisticated model selection and hyper-parameter tuning
• Proficient in ML algorithms for anomaly detection and identification from sensor data
• Experience with some AWS cloud platform services associated with analytics and deployment (Kinesis, Redshift, Glue, Lambda, Batch, Elasticsearch, etc.)
• Experience in building visualization with Plotly/Dash, Javascript/D3/Go.js, streamlit and/or Tableau
• Experience with fastapi/flask for model deployment
• Track record of researching and applying state-of-the-art literature independently to develop solutions for novel and ambitious Data Science applications
• Experience with network/graph analysis, and crafting visualizations
• Working knowledge or direct experience with Gurobi and LP/IP program optimization models

The expected salary range for the position is displayed in accordance with the Colorado Equal Pay for Equal Work Act. Final agreed upon compensation is based upon individual qualifications and experience. Estimated hourly wage (Colorado only): $136K-$227K

Export Control Regulations

Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Equal Employment Opportunity

Blue Origin is proud to be an Equal Opportunity/Affirmative Action Employer and is committed to attracting, retaining, and developing a highly qualified, diverse, and dedicated work force. Blue Origin hires and promotes people on the basis of their qualifications, performance, and abilities. We support the establishment and maintenance of a workplace that fosters trust, equality, and teamwork, in which all employees recognize and appreciate the diversity of individual team members. We provide all qualified applicants for employment and employees with equal opportunities for hire, promotion, and other terms and conditions of employment, regardless of their race, color, religion, gender, sexual orientation, gender identity, national origin/ethnicity, age, physical or mental disability, genetic factors, military/veteran status, or any other status or characteristic protected by federal, state, and/or local law. Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state, and local laws. For more information on “EEO Is the Law,” please see here and here.

Blue Origin will consider for employment qualified applicants with criminal histories in a manner consistent with the Washington Fair Chance Act, Los Angeles Fair Chance in Hiring Ordinance, and other applicable laws.

Affirmative Action and Disability Accommodation

Applicants wishing to receive information on Blue Origin’s Affirmative Action Plans, or applicants requiring a reasonable accommodation in order to participate in the application and/or interview process, please contact us at EEOCompliance@blueorigin.com.

Benefits

Employee Benefits include: Medical, dental, vision, basic and supplemental life insurance, short and long-term disability and 401(k) with up to 5% company match.

Paid Time Off: Provides up to 4 weeks per year, in addition to 14 holidays
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Sr. Data Scientist at NBCUniversal

Location: Los Angeles

Job Description
Company Description

NBCUniversal owns and operates over 20 different businesses across 30 countries including a valuable portfolio of news and entertainment television networks, a premier motion picture company, significant television production operations, a leading television stations group, world-renowned theme parks and a premium ad-supported streaming service. Here you can be your authentic self. As a company uniquely positioned to educate, entertain and empower through our platforms, Comcast NBCUniversal stands for including everyone. We strive to foster a diverse and inclusive culture where our employees feel supported, embraced and heard. We believe that our workforce should represent the communities we live in, so that together, we can continue to create and deliver content that reflects the current and ever-changing face of the world.
Job Description

The NBCUniversal Television & Streaming division develops and schedules quality programming for our broadcast and cable networks (NBC, Bravo, E!, Oxygen, SYFY, USA, Universal Kids), NBC Sports, and Peacock — connecting people to content they love, where they want to watch, and when they want to watch it.

As part of the TV & Streaming division, the Corporate Decision Sciences group sits at the intersection of technology, data, and entertainment, working on exciting problems and opportunities arising from today’s ever changing media landscape. The group focuses on projects that answer fundamental media questions, drive strategy, and inform on key programming decisions using innovative techniques, advanced analytics, and data science principles, enabling data-driven decision support across the Company.

The Senior Data Scientist will be part of a team of data scientists and engineers that focus on the design and execution of advanced data exploration, data mining, inference and prediction across all types of content and across traditional TV and Digital measurement data sets. The Senior Data Scientist will work closely with internal clients, Data Scientists, Data Engineers, and IT across all NBCUniversal businesses.

Responsibilities
• Provide methodological leadership within a team of Data Scientists and Data Engineers in the development of new methods and/or the application of advanced methods for analysis, prediction and inference of viewing behaviors and content performance measurement and optimization
• Develop and deliver high-impact insights, visualizations, and tools built on aggregated, large panel and user-level data sets and advanced algorithms with a clean user experience
• Communicate complex solutions clearly and effectively to all levels of the organization
• Think critically about data and the appropriate pairings of uses cases and data to inform content strategy and tactical decisions
• Manage multiple priorities across a mix of ad-hoc and operational projects
Qualifications
• Master’s Degree in a quantitative field (Data Science or Statistics preferred; degrees in Economics, Mathematics, or Computer Science, etc. will also be considered)
• Expert knowledge in SQL, Python, or R (additional languages like Julia, Java, Scala a plus)
• Experience in Data Science, advanced analytics, or a similar function applying statistical and supervised/unsupervised machine learning modeling techniques for inference and prediction (i.e. regression, classification, clustering, time series, etc.)
• 2+ years of experience with data visualization techniques and concepts (experience with Tableau preferred)
• 2+ years of experience using relational databases and SQL and large dataset environments
• Team-oriented and collaborative approach with a demonstrated aptitude and willingness to learn new methods and tools
• Strong interpersonal skills; must be able to work effectively as part of a project team and foster team cooperation

Additional Requirements
• Must submit an attestation disclosing your COVID-19 vaccination status and, if partially or fully vaccinated, submitting your vaccination record no later than 7 days following commencement of employment.
• Must be fully vaccinated against COVID-19 at the commencement of employment or adhere to enhanced protocols in select work settings or where jurisdictionally mandated.
• Must be willing to adhere to all Company COVID-19 workplace safety policies and protocols.

Desired Competencies
• Experience using cloud computing environments; experience with Spark, Databricks, and AWS a plus
• Experience with television ratings and digital measurement tools (Nielsen, Rentrak, comScore, Omniture, etc.)
• Commitment to building an inclusive work environment

Additional Information

NBCUniversal’s policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. NBCUniversal will consider for employment qualified applicants with criminal histories in a manner consistent with relevant legal requirements, including the City of Los Angeles Fair Chance Initiative For Hiring Ordinance, where applicable.

If you are a qualified individual with a disability or a disabled veteran, you have the right to request a reasonable accommodation if you are unable or limited in your ability to use or access nbcunicareers.com as a result of your disability. You can request reasonable accommodations in the US by calling 1-818-777-4107 and in the UK by calling +44 2036185726.
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Data Scientist at Exponent

Location: Los Angeles

Exponent is a leading engineering and scientific consulting firm that brings together more than 90 different disciplines to solve the most pressing and complicated challenges facing stakeholders today. Our vision is to engage the brightest scientists and engineers to empower clients with solutions for a safe, healthy, sustainable and technologically complex world. We leverage over 50 years of experience in analyzing accidents and failures to advise clients as they innovate their technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability.

We offer opportunities for you to expand your engineering or scientific knowledge amidst experts from top programs at over 500 universities. At Exponent, you will apply your experience, technical skills, and prior academic research to a fulfilling career in consulting. You will have the opportunity to develop continuously through formal and informal development programs, coaching and mentoring, and involvement in a wide array of projects. We are excited about your interest in joining our growing team

Key statistics:
1100+ Team members900+ Consultants550+ Ph.D.’s30+ Offices globally

We are currently seeking a Data Scientist for our Data Sciences Practice in Los Angeles, CA. In this role, your primary work will revolve around helping Exponent’s team rapidly implement and iterate algorithms, analyses, and visualizations to support clients in the consumer electronics, utilities, and life sciences.

You will be responsible for:
Supporting a range of consulting activities related to large-scale network problems involving civil infrastructure, including model development, data analysis, and visualizationDeveloping cloud-based storage and computation solutions including client-facing visualizations of key decision metricsActively solving technical and logistical problems in a fast-paced environmentWorking with interdisciplinary teams comprised of consultants from Data Sciences, Buildings & Structures, Mechanical Engineering, Human Factors, etc.

You will have the following skills and qualifications:
Ph.D. in Statistics, Computer Science, Computer Engineering, or a related engineering/scientific field (such as Applied Mathematics, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering, or Applied Physics)Demonstrated experience and expertise in one or more of the following areas:Machine learningGeospatial analysisOperations optimizationData EngineeringData Analysis and VisualizationThe desire to work with a diverse set of clients and engage in work outside of the traditional data science fieldProficiency with 2 or more of the following: Python, R, C++, SQL, and Linux (RH 7+) Experience with 1 or more of the following: AWS, Azure, Google Cloud, and web servicesExperience building dashboards with at least 1 of the following is preferred: Tableau or Power BIExperience developing software for a range of platforms (PCs, mobile, embedded devices, etc.) is preferredStrong practical engineering ability combined with leadership and project management skillsPrior experience with civil infrastructure (such as electric, gas, or water utilities) is preferredExcellent verbal and written communication skillsAbility to work independently and in multidisciplinary teams

We value and encourage diversity and inclusivity across all facets of our firm. Having a team built of people with different backgrounds, skills and perspectives allows us to provide better value to our clients and enjoy an enriched work environment.

Our firm is committed to offering a variety of programs and resources to support health and well-being. We believe that providing competitive benefits as well as compensation and recognition programs empowers our staff to do work that makes a difference.

Exponent is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.
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Data Scientist (Remote) at mpathic.ai

Location: Los Angeles

Job Description
Welcome to defining AI empathy

Empathy is for everyone. mpathic believes empathy is the key to innovation. We help people and organizations develop skills for greater understanding, compassion, and insight via AI-powered analytics, correction, and training of empathy. Learn more by visiting our Careers page.

mpathic is looking for a specialist in Data Science to lead our data science initiatives and expand our team at mpathic.
About you:Core Responsibilities for this role:
• Familiar with modern and old-school NLP techniques think transformers but also rules based systems.
• Translate research papers and ideas into working code.
• Communicating results, both verbally and in writing.
• Work both individually and in a collaborative manner with a team.
• Designing, validating, and improving models.
• Deploying your work to the cloud.
What we’re looking for:
• Degree or equivalent training, knowledge or on-the-job experience in statistics, artificial intelligence, machine learning or related field.
• Firm knowledge of statistical theory, data mining, or machine learning algorithms is a requirement.
• Expertise with Python is required.
• Experience working with a variety of data sources, and expertise working with databases including query languages such as SQL.
• Experience with Natural Language Processing
Above and beyond:
• Experience with AWS and building cloud first architectures
• Experience in mental health data and research

If you don’t have these preferred qualifications, it’s okay – we’re still interested in meeting you!
How you’ll work

We are a remote-first company. Whether you work from Baltimore, Salt Lake City, or Seattle, you’re 100% part of the team. We will provide you with a computer, equipment, and access to software subscriptions. At mpathic, we have bi-annual in-person retreats to build trust and sometimes hackathons to accomplish a specific goal in a short period. You can bet we’ll be flying to hang out at some point during the year (see our first retreat in Seattle, WA HQ shown on the cover above). If you want access to a co-working space – no problem; if you want to work at home – also no problem.

Empathy includes understanding the whole person. When deciding what benefits should look like at mpathic, we started by thinking about what employees need not only to work well, but to live well. Benefits impact how we act, rest, grieve, set boundaries, and take care of ourselves and others — and that means quality benefits are a fundamental part of our empathy company and, in the big picture, an empathic society. We have a dedicated Ombudsperson, DEIB Director, and Head of People and Culture dedicated to making your time at empathic safe, values-aligned, and designed to foster growth (We are an empathy company after all!). Read more about our Mission, Vision, and Values here.

You’ll have 100% funded employee healthcare benefits, quarterly company-wide weeks off, unlimited PTO, training and education funding, parental leave, and more. See our full benefits policy Benefits at mpathic; and our Equal Pay Commitment.
Salary

Salary is dependent on experience, commensurate with other engineers at mpathic. Following our Equal Pay Commitment, we have salary banding and established vesting schedules for equity.We’re excited to meet you

At this time, we require that all applicants are eligible to accept employment in the United States
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Staff Data Scientist at Riot Games

Location: Los Angeles

As part of Riot’s goal to become the entertainment company of the 21st century, the Fandom and Experiences Initiative within Riot Data partners with eSports, Entertainment, and Publishing to provide resonant content and memories to fans.

As a Staff Data Scientist in this Initiative, you can work on a diverse set of problems. Help build a safe and inclusive gaming experience through Natural Language Processing. Create a recommendation engine that delights eSports fans with their favorite team updates. Or use evolving machine learning techniques to defend the competitive integrity of our games against cheaters. No matter what you choose to focus on, you will work with engineers, scientists, and game designers across the company. You will report to the Senior Data Science manager within the Initiative.

Responsibilities
• You will use machine learning to build products or inform decisions that directly improve the player or fan experience.
• By becoming a Subject Matter Expert in your domain, you will help establish the strategic product vision
• You will work with partners across the organization, gathering requirements, designing project plans, determining approaches, and defining success criteria
• You will improve our data science practice by identifying novel techniques and technical approaches
• You will mentor and advise data scientists in and technical best practices

Required Qualifications
• Ph.D. in Machine Learning, AI, Statistics, Math, or related Computer Science/Quantitative field, or equivalent experience (i.e., M.Sc. with over three years of relevant experience, or B.Sc. with over six years of relevant experience, etc.)
• Proficiency in Python and SQL.
• Expert using machine learning frameworks such as scikit-learn or Spark MLlib
• Experience developing and deploying machine learning models at scale.
• Effective at storytelling with data to a diverse and non-technical audience.

Desired Qualifications
• Experience with Apache big-data platforms such as Spark and Airflow.
• Familiar with the AWS cloud.
• Experience working in an Agile environment

For this role, you’ll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position

Our Perks

Riot Games fosters a player and workplace experience that values teamwork embodied by the Summoner’s Code and Community Code. Our culture embraces differences as a strength, and our values are the guiding principles for how we approach work. We are committed to putting diversity and inclusion (D&I) at the center of everything we do, and promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of thriving together and our ongoing work to build the most inclusive company in Gaming.

We offer medical, dental, and vision plans that cover you, your spouse/domestic partner, and children. Life insurance, parental leave, plus short-term and long-term disability coverage are also available. Riot will support your retirement benefits with a company match, and double down on your donations of time and money to non-profit charitable organizations. Balance between work and personal life is encouraged with open paid time off, and a play fund so you can broaden and deepen your personal relationship with games.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant’s criminal history (LAMC 189.00).
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Senior Data Scientist at SHEIN Distribution Corporation

Location: Los Angeles

Job TitleSenior Data Scientist (Fraud Detection) Reports to : Data Science Team Lead Job Location: Los Angeles Based, Remote About SHEIN Technology SHEIN Technology is a U.S.

technology company.

Founded in 2012, SHEIN is a leading global online retailer with operations in Guangzhou, Los Angeles and Singapore, along with other key markets.

SHEIN reaches consumers across more than 150 countries and regions around the world.

We place a premium on choice, delivering more than 6,000 new fashion, beauty and lifestyle products daily with more than 600,000 items available.

Our mission is to help people express their individuality through the latest trends that are accessible and affordable.

To learn more about SHEIN, follow us at shein.com, instagram.com/sheinofficial and youtube.com/shein.

Position Summary SHEIN Technology is seeking a Senior Data Scientist to help reduce the risk of fraud and work on search recommendations.

You will be working with a variety of ML models including XGBoost & NN models and prioritizing the protection of L1 & L2 data for US Customers.

Responsibilities: Participate in the development of machine learning model(xgboost, nn model) and applied it in predicting and preventing fraud Develop key metrics to track the performance of fraud and collaborate with engineering team, business team to meet the set goals.

Participate in the full development cycle: design, develop, deploy, experiment and analyze.

Skills and Qualifications Master’s degree (or PhD) in Statistics, Mathematics, EE, Computer Science, etc.

Bachelor’s degree with significant relevant experience will be considered.

Proficient in at least one or more of the programming languages such as C++, Python, Java Familiar with one or more of the following concepts – anti-fraud, machine learning, NLP, data mining, search, recommendation, etc.

Possess strong analytical and problem-solving capabilities and keen to solve challenging problems 3 years of experience in developing machine learning based solutions for fraud detection.

Good to have Experience with observability tools such as Grafana, Prometheus, Zabbix etc Experience with Atlassian tools, such as Confluence and Jira Hive, Kafka, Hbase, Apache Flink SHEIN Technology is an equal opportunity employer committed to a diverse workplace environment.
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Senior ASSOCIATE – DATA SCIENCE (UR) at Amgen

Location: Los Angeles

LIVE

WHAT YOU WILL DO

Let’s do this. Let’s change the world. In this vital role you as a Data Excellence rotational program member, you will gain first-hand experience solving some of the most exciting problems facing the biotech industry today within a variety of functions. This three year development program will expose you to three different business analytics roles by spending one year in three different departments, with opportunities in Research & Development, Operations, Global Commercial Operations, and Corporate. Starting from Day One, you will be introduced to the many nuances and complexities of our organization and asked to think creatively and independently to influence and drive decision-making. You will also be given the opportunity to work in cross-functional teams that include key internal and external partners across the business, including but not limited to business development partners, scientists, operations staff, engineers, product teams, and executives.
• Implement data science projects and complete high quality deliverable on time to support business
• Apply programming/code to parse data, statistics, machine learning and artificial intelligence techniques, and NLP algorithms to uncover novel trends or factors representing opportunities or challenges to our business
• Liaise with potential users and SMEs to get input for design and to validate utility of solutions developed
• Write communications and facilitate discussions on processes/behaviors
• Analyze business needs and translate to software-level requirements

WIN

WHAT WE EXPECT OF YOU

We are all different, yet we all use our unique contributions to serve patients. The [vital attribute] professional we seek an emerging, entry-level talent to play a major role in how we architect, visualize, and interpret critical data that is at the very core of our business. As a Data Science Sr. Associate in our Data Excellence Development Program, you will be challenged with uncovering analytical insights through data mining and statistics. And you will have the opportunity to translate those insights into useful decisions for the business.

BASIC QUALIFICATIONS:
• Master’s degree

OR
• Bachelor’s degree and 2 years of Data Science; Computer Science; Biomedical, Computer, or Software Engineering; Mathematics; Computational Chemistry or Biology; Statistics; Information Systems; Relevant Programs

Or
• Associate’s degree and 6 years of Data Science; Computer Science; Biomedical, Computer, or Software Engineering; Mathematics; Computational Chemistry or Biology; Statistics; Information Systems; Relevant Programs

Or
• High school diploma/GED and 8 years of Data Science; Computer Science; Biomedical, Computer, or Software Engineering; Mathematics; Computational Chemistry or Biology; Statistics; Information Systems; Relevant Programs

PREFERRED QUALIFICATIONS:
• Prior internship in similar field
• Highly motivated, self-starting nature; capable of and comfortable with independent critical thinking and problem solving; energized by change and challenge
• Excellent written and verbal communication skills with a particularly well-developed ability to display data and lead audiences to logical conclusions
• Strong teammate who is able to collaborate with colleagues on complex tasks
• Track record of optimally owning, planning, and implementing multi-faceted projects
• Experience with formal Agile project methodologies
• Programming Experience : familiarity with C+, R, MATLAB, Python
• Database Experience: SQL query, (familiarity with Hive/Hadoop, Mongo, Pandas)
• Big Data Storage Tools: AWS, virtual machines
• Data visualization tools: Tableau, Spotfire or similar; d3.js
• Basic understanding of application development methodologies and techniques, as well as the knowledge and skills to advise users of a proposed software’s functionality

THRIVE

SOME OF THE VAST REWARDS OF WORKING HERE

As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.
• Full support and career-development resources to expand your skills, enhance your expertise, and improve your potential along your career journey
• A diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act
• Generous Total Rewards Plan-comprising health, finance and wealth, work/life balance, and career benefits-with compensation and benefits rated above 4 stars (out of 5) on Glassdoor

APPLY NOW

FOR A CAREER THAT DEFIES IMAGINATION

Objects in your future are closer than they appear. Join us.

Join Us

If you’re seeking a career where you can truly make a difference in the lives of others, a career where you can work at the absolute forefront of biotechnology with the top minds in the field, you’ll find it at Amgen.

Amgen, a biotechnology pioneer, discovers, develops and delivers innovative human therapeutics. Our medicines have helped millions of patients in the fight against cancer, kidney disease, rheumatoid arthritis and other serious illnesses.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other but compete intensely to win. Together, we live the Amgen values as we continue advancing science to serve patients.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Amgen requires all staff in the United States, Puerto Rico and Canada to be vaccinated from COVID 19 as a condition of employment. In accordance with applicable law, Amgen will provide reasonable accommodations to staff members who qualify on the basis of a medical reason or a sincerely held religious belief, practice, or observance. Such accommodation may not pose an undue hardship to Amgen, its operations, or its staff.
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Principal Data Scientist at Riot Games

Location: Los Angeles

Riot Data Scientists combine their wide technical expertise across data processing, automation, machine learning (“ML”), artificial intelligence (“AI”), and experimental design to inform decisions and develop data-powered products. As a Senior Data Scientist, you’ll dive into projects that focus on cross-team goals. You’ll provide other data scientists with a north star of “what extraordinary data science should look like”. You are the lead for complex or significant technical work, where the problem requires evaluation of intangibles. You can customize methods to suit an unusual data problem and juggle technical requirements. You work at a multi-team scale, guiding product vision, technical designs, and other scientists’ development across an organization. You lead by example, but you also lead by leading – you achieve results while elevating others’ data science craft.

The Technology Research team performs applied research to accelerate the pace of building amazing player experiences at Riot Games. In this role, you will grow and lead a research team whose focus is to leverage NLP technologies to simplify and amplify game development. To this end, your team will track the latest research in relevant areas, work closely with teams to prioritize the most promising research, build prototypes to highlight the value of the research, and in certain cases partner with game teams to create robust and efficient production versions of your prototypes.

Responsibilities
• Define and develop research topics within your areas of expertise and help create internal training materials.
• Build and own roadmaps, risk management, and project indicators
• Propose, implement, and evaluate new algorithms that expand our natural language capabilities (examples include: disruptive behavior detection, dynamic quest generation, more expressive NPC interactions).
• Work closely with game designers, engineers, and leadership to understand their needs and gather datasets, build prototypes, and look for innovative ways to leverage large language models for game development.
• Stay up to date on the latest academic advances & industry trends within your area of specialization.
• Inform and manage stakeholders on production teams

Required Qualifications
• MS in Computer Science or equivalent with 6+ years research experience or BS in Computer Science or equivalent with 8+ years research experience
• A background in applied or basic research (in industry or academia) + the ability to lead research through standard experimental methodologies
• 2+ years experience in deep learning or algorithmic foundations of optimization
• Proficiency in C, C++, or Python
• Contributions to public research (e.g. published papers and industry talks)
• Experience in distributed computing systems design
• Expertise with Tensorflow or Pytorch
• Expertise with GPT-3, BERT, or other large language models

For this role, you’ll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will be looking at your past studies, experience, and your personal relationship with games. If you embody player empathy and care about the experiences of players, this could be the role for you

Our Perks

We offer medical, dental, and vision plans that cover you, your spouse/domestic partner, and children. Life insurance, parental leave, plus short-term and long-term disability coverage are also available. Riot will support your retirement benefits with a company match, and double down on your donations of time and money to non-profit charitable organizations. Balance between work and personal life is encouraged with open paid time off, and a play fund so you can broaden and deepen your personal relationship with games.

Riot Games fosters a player and workplace experience that values teamwork embodied by the Summoner’s Code and Community Code. Our culture embraces differences as a strength, and our values are the guiding principles for how we approach work. We are committed to putting diversity and inclusion (D&I) at the center of everything we do, and promoting a fair and collaborative culture where Rioters treat one another with dignity and respect. We encourage you to read more about our value of thriving together and our ongoing work to build the most inclusive company in Gaming.

It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance relating to an applicant’s criminal history (LAMC 189.00).
Apply Here
For Remote Principal Data Scientist roles, visit Remote Principal Data Scientist Roles

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(Remote) Senior Data Scientist, Product Growth at Hopper

Location: Los Angeles

About the job
We’re looking for a Senior Data Analyst to join the Super App team to help analyze the impact and set direction for features used by millions of users every week.
Our team is focused on accelerating Hopper’s user growth, which until now has been primarily through high-volume paid advertising. Now, we’re looking to build new products in our app that will help us activate, acquire, retain, and convert new users at scale. Overall, our goal is to pair Hopper’s world-class travel marketplace with the growth and retention mechanisms inspired by mobile games, super-apps, and category-leading retailers.
The ideal candidate is excited about empowering teams with actionable data, comfortable breaking down large unstructured problems, and able to apply deep analytics skills to help steer direction, inform strategy, accelerate Hopper’s growth and ultimately provide a better experience for our customers. This is an opportunity where you will have a massive impact on the definition and evolution of the business.
More about Hopper
Despite the pandemic’s impact on the travel industry, Hopper has emerged stronger than ever. As the travel industry continues to rebound, Hopper has demonstrated significant outperformance with its category-leading mobile-only marketplace, delivering value to customers and supply partners with the company’s proprietary suite of fintech offerings.
Here are just a few stats that demonstrate the company’s recent growth:
– Hopper’s valuation is now over $5B, which is more than triple our valuation from early 2020.
– The company grew its revenue by more than 300% YoY in 2021. Hopper’s monthly revenues are now 375% higher than its pre-pandemic high point and Hopper Cloud, Hopper’s new B2B initiative, is already 15% of its revenues and growing.
– According to Apptopia, Hopper was the #1 most downloaded OTA in the US in 2021. The app has over 70 million downloads.
– Hopper’s recovery is faster than the market and its share of the air travel market in North America is now 300% higher than prior to the pandemic, according to MIDT. We are now the 3rd largest air travel agency in North America.
– The company sells over $2B in travel and travel related financial services annually.
– Hopper’s fintech offerings, such as Price Freeze and Rebooking Guarantee, now represent over 70% of its air revenue.
– Given the success of its travel fintech, Hopper recently launched a B2B initiative called Hopper Cloud, where any travel provider can unlock a totally unique revenue stream by seamlessly integrating and offering Hopper’s travel content and fintech products. Hopper Cloud partners include Capital One, Kayak, Marriott, Amadeus, Trip.com, and MakeMyTrip.
The industry opportunity for Hopper Cloud is enormous as projections estimate that if all travel distribution channels offered travel fintech, it could increase the total consumer spend for the sector by $200 billion annually.
And all this recent growth is just the beginning. There are still so many new opportunities we’re excited to tackle in the next year!
Apply Here
For Remote (Remote) Senior Data Scientist, Product Growth roles, visit Remote (Remote) Senior Data Scientist, Product Growth Roles

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