Fulltime Data Scientist openings in Los Angeles on September 17, 2022

Sr. Data Scientist – Hiring Immediately at TEKsystems

Location: Los Angeles

Top Skills’ Details

1) Master’s degree or Ph.D in Computer Science, Mathematics, Physics, Engineering, Statistics, Operations

Research, or other equivalent quantitative field

2) 6+ years of work experience in ML, AI and Data Science, with a proven track record to drive innovation

and business impacts

3) Strong machine learning, deep learning, operations research, and statistical modeling expertise, such as

causal inference modeling, ensembles, and neural networks

Description:

Sr. Data Scientist – Contractor

Summary

Sr. Data Scientist who will be responsible for using their expertise in Advanced

Analytics, Machine Learning and Predictive Analytics to build-to-deliver models for data driven decisions with

our streaming media data. The ideal candidate will take projects from requirements, design and build within a

cloud-based analytics infrastructure, transforming the insights into actionable endpoints. They have strong

experience using a variety of data mining/data analysis methods, using a variety of data tools, building and

implementing models, using/creating algorithms and creating/running simulations. They must have a proven

ability to drive business results with their data-based insights.

Responsibilities:

● Conduct analysis and conduct model selection/design for ML and analytic insights, including but not

limited to: product analysis, consumer behavior, content affinity, media attribution, etc.

● Conduct feature engineering in a multi-cloud data warehouse environment

● Develop and deliver projects using best practices for scoping, building, validating, deploying, and

monitoring data science models

Qualifications:

● 6+ years of work experience in ML, AI and Data Science, with a proven track record to drive innovation

and business impacts

● Strong machine learning, deep learning, operations research, and statistical modeling expertise, such as

causal inference modeling, ensembles, and neural networks

o Knowledge of advanced statistical techniques and concepts (regression, properties of

distributions, statistical tests and proper usage, etc.)

● Proficiency in data science languages and platforms (Python, R, Databricks TensorFlow, etc.)

● Advanced knowledge of SQL and experience with big data platforms (Snowflake, BigQuery, Spark, etc.)

● Experience using Tableau as a data science visualization tool is a plus

● Master’s degree or Ph.D in Computer Science, Mathematics, Physics, Engineering, Statistics, Operations

Research, or other equivalent quantitative field

Skills:

Data, Aws, Modeling, Cloud, Analysis, Statistics, Python, Machine learning, Data science, Sql, Predictive modelling, Algorithm, Predictive analytics, Tableau, Artificial intelligence, Statistical model, Tensorflow

Top Skills Details:

Data, Aws, Modeling, Cloud, Analysis, Statistics

Additional Skills & Qualifications:

N/A

Experience Level:

Expert Level

About TEKsystems:

We’re partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That’s the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
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Entry Level Data Scientiest at SynergisticIT

Location: Los Angeles

About Us

Synergistic IT is a full-service staffing and placement firm servicing client in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services. We Intend to deliver exceptional student outcome. We don’t just help you secure a tech job but build a solid career in technology.

Job Description

Good understanding of the below models

Identify valuable data sources and automate collection processes

Undertake preprocessing of structured and unstructured data

Analyze large amounts of information to Client trends and patterns

Classifier, Random Forest Classifier, Nave Bayes, Support Vector Machine

Machine Learning Algorithms – Linear Regression, Logistic Regression, Decision Tree

Unsupervised/Clustering algorithms

NLP models, Deep Learning models for image classification

Desired Candidate Profile

Skills Required

Hands on experience Python scripting

Hands on experience in building Machine Learning and Artificial Intelligence models

Good knowledge on Exploratory Data Analysis (EDA)

Hands on experience on platforms – Microsoft Azure/Amazon Web Services

Libraries – Numpy, Pands, Scikit learn, Seaborn, Plotly, TensorFLow, Should be able to do data visualisation using Tableau or Excel.

Excellent English communication (both oral and written) and reading comprehension

skills.

Strong analytical and problem-solving skills, with clear attention to detail.

Education Requirement: –

Bachelors, Masters in Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical Engineering/ Mechanical Engineering.

Benefits

On Job Technical support

E- verified

Filing of H1b and Green card

Full time position

Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry.

If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP.

Thank you
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Data Scientist, Business Marketing Research & Intelligence at Meta

Location: Los Angeles

Meta is seeking a Data Scientist for the Business Marketing Research & Intelligence team. In this role, you are responsible for using internal and external data to uncover unique insights (about both consumers and businesses) that can inform decision making and enable business marketing and sales. You will work closely with research, marketing, sales, and other data science teams to scope, design, and execute data science projects, and to tell compelling stories from your analyses. The ideal candidates are self-starters, fast learners, and team players with experience working cross-functionally with internal partners. They are intellectually curious, passionate about working with big data, have demonstrated success in solving complex business problems using data and analytics, and are able to move fast while maintaining focus on high-impact projects.

Data Scientist, Business Marketing Research & Intelligence Responsibilities:
• Data exploration and ETL, creation and maintenance of data pipelines, quantitative modeling and analysis, data visualization and dashboarding, communication of insights and recommendations.
• Work with large and complex data sets to solve a wide array of challenging problems using different analytical methods.
• Manage the full cycle of a data science project from data requirement gathering all the way to reporting/communication of findings.
• Partner with research teams and use internal data to inform research, test hypotheses, and supplement third party research work.
• Partner with marketing/sales and other relevant cross-functional teams to scope, design, and execute data science projects that uncover actionable insights to enable marketing and sales.
• Proactively identify opportunities to improve existing work or to fill in gaps.
Minimum Qualifications:
• 3+ years experience and proficiency in SQL and Python (or R).
• 3+ years of experience in a data science/analytics capacity, performing applied quantitative analysis utilizing large data sets.
• Experience in collaborating with cross-functional partners.
• Communication skills with experience in communicating results and analyses to technical and non-technical audiences.
• Experience with distributed computing (Hive/Hadoop).
• 3+ years experience and proficiency in dashboarding using Tableau or similar tools.
• Proven work ethics with great attention to detail and quest for quality.
• Experience managing multiple priorities and adapt to rapidly changing business environment.
• Bachelor’s degree in a quantitative field (e.g. Statistics, Applied Mathematics, Operations Research, Industrial Engineering, Econometrics, Data Science) or in Business Analytics with a quantitative background.
Preferred Qualifications:
• Experience in using NLP, ML, and topic modeling to surface insights from large-scale text data.
• Knowledge of the advertising/marketing industry, in particular the digital advertising ecosystem.
• Master’s or Ph.D. degree in a quantitative field (e.g. Statistics, Applied Mathematics, Operations Research, Industrial Engineering, Econometrics, Data Science) or in Business Analytics with a strong quantitative background.
• Proven track record of leveraging data and analytics to drive business value.
• Experience initiating and managing projects with minimal oversight.
• Experience in advanced statistical or probabilistic modeling.
• Experience in working with Marketing/Sales functions.
• Experience in building data pipelines via SQL and Python-based ETL framework.
• Experience in building strong cross-functional relationships and driving collaborations.
Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
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Data Scientist at Public Storage

Location: Los Angeles

Public Storage is recognized as one of America’s Best Large Employers in 2022 by Forbes and our employees have also voted us as a Great Place to Work , having Best Career Growth , ranked us in the Top 5% for Work Culture , and in the Top 10% for Diversity and Inclusion.

With more than 2,800 locations nationwide, Public Storage is the leader in the self-storage industry, and given our number of tenants, we may very well be the world’s largest landlord.

We’ve experienced unprecedented growth over the past four decades, and it’s in no small part due to the dedicated team that has helped us become an S&P 500 industry leader, the country’s largest real estate investment trust (REIT), and the most recognizable name in self-storage.

Job Description We are currently looking for a Data Scientist to join our Data & Analytics practice in Glendale, CA.

The Data Scientist will use both business domain and technical skills to establish empathy and understanding with a business owner in order to propose meaningful solutions with a measurable outcome.

The Data Scientist will build models that explain the real world using a combination of intuition, math and programming.

They will be a subject matter expert on algorithms that fit the problem set and be exceptional at breaking down complex systems into solvable components.

Responsibilities Responsible for applying statistical and model rigor to any deliverable yet balancing with calculated trade-offs SME on algorithms and designs code that can be refactored easily by a data engineer or used by a data analyst Builds repo and maintains a library of models that can be applied/refactored on similar design patterns Expert in both unstructured and structured data set ingestion and classification, regression, SVM, deep learning etc.

Mentors and trains teams in new techniques and pushes boundaries of existing technology to deliver enterprise value Owns the Confluence knowledge repository and GitHub model repo Refresh and update models as needed.

Thought leader on how to converge available data, transfer learning from other projects and test new algorithms that optimize across large, ambiguous data sets Qualifications Bachelors in STEM fields such as physics, social/economics, or business with a strong technical acumen required Masters and/or PhD degree preferred 4-6 years of experience or any equivalent of experience and post graduate education Knowledge Skills & Abilities Strong verbal communication skills: ability to effectively communicate cross functionally Strong command of applied math (linear/matrix functions) with deep learning theory and practice; Both frequentist or Bayesian welcome Proficiency with programming and scripting languages: Python/R, SQL and C#/ Experience with analytic frameworks and open source libraries Passionate about thinking through problems and solving them Realistic view of AI and understanding of how to use deep learning in real-world situations REITJobs Additional Information All your information will be kept confidential according to EEO guidelines.
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Senior Data Scientist (Greater LA Area, CA or Remote) at Tala

Location: Santa Monica

About Tala

Tala is a global technology company building the world’s most accessible financial services. With more than $350 million raised from visionary investors, we are serving millions of customers around the world who have been overlooked by traditional financial institutions – and our plan is to serve millions more, and have been named by the Fortune Impact 20 list, CNBC’s Disruptor 50, and Forbes’ Fintech 50 list for four years running. We are expanding across product offerings, countries and crypto and are looking for people who have an entrepreneurial spirit and are passionate about the mission.

By creating a unique platform that enables lending and other financial services around the globe, people in emerging markets are able to start and expand small businesses, manage day-to-day needs, and pursue their financial goals with confidence. Currently, more than 6 million people across Kenya, the Philippines, Mexico, and India have used Tala products. Due to our global team, we have a remote-first approach, and also have offices in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.

Most Talazens join us because they connect with our mission of enabling financial agency for underbanked people around the world. If you are energized by the impact you can make at Tala, we’d love to hear from you!

We are looking for a Senior Data Scientist interested in solving one of the world’s biggest problems: financial inclusion. As a Data Scientist you will lead data science initiatives that drive improvements in customer experience, operational efficiency and recovery. You will own the modeling cycle through scoping, development, deployment and after-sale and monitoring, with keen focus on business outcomes and stakeholder management.

What you’ll do:
• Embed with business stakeholders to identify, test and implement data science solutions that drive business and customer success. Develop a roadmap in collaboration with stakeholders to organize and prioritize initiatives.
• Own full-cycle of machine learning products from ideation and training through deployment into our production environment – including real-time inference – and after sales service. Obsess over machine learning products, iterating rapidly if necessary.
• Become a multiplier for data science team by sharing work, providing mentorship to junior team members, providing technical feedback and developing work into shared team tooling.
• Be a thought partner for the business, leverage data insights and strong communication skills to influence company strategy.

Qualifications:
• 4+ years of experience in a data science role or equivalent position.
• 2+ years in a senior / lead position leading the execution of end to end machine learning solutions for business stakeholders.
• Fluency with Python and packages related to machine learning.
• Comfort with SQL.
• Experience with the full modeling cycle, from scoping and development through deployment, after-sale and monitoring. Demonstrated business value in previous roles.
• Competency with statistics. Knowledge of experimental design and analysis basics.
• Strong collaboration and communication skills. Ability to tell stories through data and effective visualization.
• Ability to thrive in at times ambiguous and complex environments.
• Desire to champion simple, correct, and hardy systems.

Preferred Skills & Experience:
• Experience with causal modeling techniques such as uplift modeling
• Experience deploying real-time model inference/scoring systems

Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
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Data Scientist at Arete

Location: Los Angeles

Areté, an employee-owned company, is a growing research and development firm entrusted by the US military to provide innovative solutions to their hardest problems. We have immediate openings for Data Scientists  to work in our Corporate office in Northridge, CA  and in our Arlington, VA  and Tucson, AZ offices.  We are seeking Data Scientists who can transform complex, high-dimensional datasets into actionable intelligence. We work on a wide array of challenging interdisciplinary problems, with data sources including, but not limited to, remotely sensed measurements (EO/IR spectral, lidar, radar, sonar), and multi-omics measurements (microbiome, metabolome, lipidome). We apply sophisticated signal processing and machine learning (ML)/artificial intelligence (AI) algorithms to build custom high-performance solutions that identify and characterize threats around the globe, keeping all of us safe. This is an exempt non-supervisory Full time position.

Primary responsibilities:

  Research, develop, and test ML-based algorithms tailored to our applications
  Train feature-based algorithms and/or deep neural network (DNN) algorithms for classification and regression on high-dimensional datasets
  Conduct data analysis and build models to characterize complex, correlated multi-modal datasets
  Work with software engineers to implement your algorithms to support solution deployment
  Quantify the effectiveness of your approach and present your results to the team and customers

Required Qualifications & Experience:

  Bachelor†s, Master†s, or PhD in Major Subject requiring rigorous algorithm development and statistics
  Development of custom algorithms for complex, high-dimensional datasets in Python
  US Citizenship
  No Dual Citizenship

Preferred Qualifications & Experience:

  Machine learning and signal processing algorithms for multi-variate, correlated datasets;
  Compositional data analysis;
  Network (graph) and correlation analysis;
  Custom bioinformatics algorithms in Python;
  Mathematical ability and experience with biological, chemical and/or physical data;
  Recurrent neural networks, reinforcement learning, transformer nets;
  Low-shot learning with DNNs;
  Data augmentation and simulation;
  Image and signal processing, computer vision;
  Ability to work on small interdisciplinary teams and independently;
  Strong verbal and written communication skills;
  Active Top Secret clearance is a plus.

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Areté offers a collegial and exciting work environment with an excellent compensation and a full benefits package, and advancement opportunities. U.S. citizenship, background screen and drug test are required to meet position eligibility.  Please submit your resume on-line at: http://www.arete.com

As the health and safety of employees continues to be a priority, Areté encourages employees to remain current on their COVID-19 vaccinations. Employees may be required, in the future, to be vaccinated or have an approved disability/medical or religious accommodation, pursuant to future court decisions and/or government action on the currently stayed federal contractor vaccine mandate under Executive Order 14042 https://www.saferfederalworkforcegov/contractors/

Areté Associates is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.

If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Arete Associates Human Resources Representative.

Areté  will consider for employment-qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring.Â

Selected candidate will be subject to a government security investigation and must meet eligibility requirements for access to classified information.

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Data Scientist at University of Southern California

Location: Los Angeles

Job Description

The University of Southern California (USC), founded in 1880, is located in the heart of downtown L.A. and is the largest private employer in the City of Los Angeles. As an employee of USC, you will be a part of a world-class research university and a member of the “Trojan Family,” which is comprised of the faculty, students and staff that make the university what it is.

University Advancement is committed to fostering a diverse, equitable, and inclusive culture in which all advancement staff and our stakeholders have the opportunity to connect, belong, and grow while supporting the University of Southern California’s mission, values, and goals.

University Advancement is seeking a Data Scientist to join our team and create analytical solutions for business problems in fundraising. This position is responsible for generating solutions for existing problems and studying the business to ask (and answer) questions nobody has asked before.

Responsibilities
Data Science (80%):
• Extract data from various data sources using SQL
• Build systems, tools and workbenches for repeatable, reusable and reproducible analyses
• Create and launch data products that improve business outcomes
• Use machine learning to generate leads, upgrade donors, and enhance user experience
• Apply natural language processing and information retrieval techniques for knowledge generation
• Create solutions to capture new sources of information on prospects
• Create interactive applications and visualizations
• Discover insights with data analysis and visualization
• Collaborate and brainstorm on problems with advanced users and experts

Ideation (10%):
• Generate ideas to help solve business problems
• Identify opportunities to apply analytical solutions
• Create rapid prototypes/wireframes of applications, systems, and visualizations
• Stay on top of the latest techniques and innovations in the data science world

Outreach and Other (10%):
• Establish USC as a leader in this space
• Promote data-driven culture
• Conduct other duties as assigned

Who you are
• You demonstrate balanced skepticism and immense curiosity
• You have strong critical thinking and project management skills
• You have a passion to learn and create new things

What you will bring
• Bachelor’s Degree in Mathematics, Statistics, Computer Science, Engineering or any other quantitative majors
• Work experience in this field: 2 or more years
• Breadth and depth in machine learning: feature extraction and selection, association rules, collaborative filtering, clustering, and classification/regression techniques
• Programming skills in R, Python, SQL, and R frameworks/libraries
• Web application development fundamentals: JavaScript, CSS, HTML, APIs
• Database management skills using SQL Server, Oracle or cloud databases
• Data visualization skills: from Excel to Tableau; from ggplot to D3
• Business understanding that your success is defined by the action your user takes
• Experience with collaborative tools such as Github, SVN.

Nice-to-haves
• Advanced degree in a STEM field
• Knowledge of Salesforce development
• Understanding of principles of effective UI/UX

Required Documents and Additional Information

Resume and cover letter required (may be uploaded as one file). Please do not submit your application without these documents.

USC has excellent benefits, including health benefits for staff & their family with access to the renowned university medical network; eligibility for retirement plans with employer contributions once you meet Program’s eligibility; tuition benefits for staff & their family; free professional development online courses; central Los Angeles location with easy access to commuter trains, buses & free tram pick up services; discounts to football, basketball & other campus events.

The University of Southern California values diversity and is committed to equal opportunity in employment.

Minimum Education: Master’s degree, Combined experience/education as substitute for minimum education Minimum Experience: 2 years, Combined education/experience as substitute for minimum experience Minimum Field of Expertise: Biometry, Biostatistics or Statistics; mainframe computer and PC experience; experience with SAS, Epilog, BMDP, GLIM or SPSS.

REQ20120453 Posted Date: 07/19/2022
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Data Science Intern (PhD) – League of Legends at Riot Games

Location: Los Angeles

As Riot continues to deliver games and content to our passionate players, our Data discipline has challenges and opportunities centered on crafting, building, and maintaining data products that support the organization’s growth. Whether you are a Data Scientist building machine learning and AI models, a Data Engineer bringing scale and efficiency to systems, or a Software Engineer developing data systems as part of our live games, we need you to help push forward our “Player Experience First” aspirations.

As a Data Science Intern on the League Data Central team, you will build data products to support the games and functions of the organization. You will report to the Data Science Manager on League Data Central, the hub for all Data Science and Data Engineering for League of Legends, Teamfight Tactics, and Wild Rift. The team collaborates on cross-functional projects that range from in-game features to content design to infrastructure. In a world of high volume data, you will develop products that bring personalized experiences to players, optimize our strategy, and refine in-game features.

Responsibilities:
• Work closely with game feature teams to optimize the way that we design and serve to players
• Partner with game designers and engineers to design and implement data products
• Explore the application of data science techniques to games in development and production

Required Qualifications:
• Currently enrolled in an M.S. or Ph.D. program in statistics, engineering, computer science, artificial intelligence, or a related quantitative field (math, physics, etc.)
• Available to work full-time hours for 10-12 weeks at the indicated office during the summer (pending COVID restrictions)
• Experience in statistical modeling and optimization
• Experience processing data and build machine learning models using Python
• Experience with databases and SQL

Desired Qualifications:
• Basic understanding of data warehousing, relational databases (e.g., MySQL), and distributed data processing or storage systems (e.g., Spark, Flink, Hadoop)
• Basic experience withSpark, or other big data tech (e.g., Hadoop)
• Basic experience with cloud data tools (e.g., AWS, GCP)

For this role, you’ll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players. We will certainly be looking at your past studies and experience, but for this role, we also look for dedicated people with a 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:

Riot Internships are paid, and we offer relocation and housing support. Interns can also participate in our 401(k) plan. You can expect subsidized meals, in-game perks, and the ability to participate in our Play Fund, so you can broaden and deepen your knowledge of our players and community through games. The University Programs team also invites you to intern focused events so you can connect with your fellow interns and Rioters to make the most out of your experience.

Applications Close January 6th 12:00 pm PT

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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Data Engineer at Bitsoft International, Inc.

Location: Los Angeles

Data Engineer:

09/16/2022 to 09/30/2023

Los Angeles, CA 90013

No. of Positions: 10

Description:
• *Must be local or willing to relocate to Los Angeles, San Francisco, and Seattle and willing to work onsite

Preferred – Mandarin language; not required

Data Engineer
Responsibilities:
• Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis)
• Design and implement reliable, scalable, robust and extensible big data systems that support core products and business
• Establish solid design and best engineering practice for engineers as well as non-technical people.

Minimum qualifications:
• BS or MS degree in Computer Science or related technical field or equivalent practical experience
• Experience with the Big Data technologies (Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc)
• Experience in performing data analysis, data ingestion and data integration
• Experience with ETL(Extraction, Transformation & Loading) and architecting data systems
• Experience with schema design, data modeling and SQL queries
• Passionate and self-motivated about technologies in the Big Data area


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Senior Data Scientist, Analytics at Reddit

Location: Los Angeles

Job Description

Our mission is to bring community and belonging to everyone in the world. Reddit is a community of communities where people can dive into anything through experiences built around their interests, hobbies, and passions. With more than 50 million people visiting 100,000+ communities daily, it is home to the most open and authentic conversations on the internet. From pets to parenting, skincare to stocks, there’s a community for everybody on Reddit. For more information, visit redditinc.com .

We are looking for a results-oriented and strategically minded Product Data Scientist to work with our International Growth team as Reddit expands its user base abroad. In particular, you will be focused on understanding how content is created on Reddit and enable users to post more fluidly abroad. This is a truly zero-to-one role where you will be able to work with Product, Engineering, Design and other cross-functional partners to uncover greenfield and white space opportunities.

How You’ll Have Impact:

Today, a large portion of Reddit’s user base lives in the US. Reddit’s mission is to bring community and belonging to everyone in the world, which means we are making a major push to expand our audience internationally. Content is the flywheel for Reddit and we need you to be a key player in driving our content strategy abroad.

What You’ll Learn:

As a Data Scientist, you will become an expert in improving Reddit’s product-market fit for a global user base. You’ll be pivotal in understanding how users interact with our product today and how that differs from other audiences. You’ll be a champion to the users through evaluating performance of existing Reddit features for international users, as well as uncovering opportunities for new experiences.

You will work side by side with a world-class org of Engineering, Machine Learning, User Research, Community Operations, Product Management practitioners who work together to create a variety of capabilities for Reddit to be more successful in its decision-making and product creation. In this process, you will be exposed to a variety of new techniques in exploratory analysis, machine learning, and experimentation.

What You’ll Do:
• Partner cross functionally with Eng and Product leads to help define and execute international growth’s content roadmap and initiatives
• Become the expert at understanding user behavior and long-term trends in content creation and content understanding
• Generate data-driven insights that propose next steps in the strategic roadmap through proactive exploratory analyses and opportunity sizing
• Design and evaluate A/B tests for product feature experiments to determine the effectiveness of product strategy
• Define team metrics and goals and work with the Data Warehouse team to create ETLs (extract/transform/load) and reporting dashboards

Who You Might Be:
• 6+ years of experience in quantitative analytical roles, preferably for growing at-scale consumer products outside the US
• Proficiency with relational database (e.g., SQL)
• Familiarity with statistical analysis and programming languages (e.g., R / Python)
• Results-oriented with a strong customer and business focus
• Entrepreneurial and self-directed, demonstrated ability to innovate and bias toward action in fast-paced environments.
• Ability to communicate and discuss complex topics with technical and non-technical audiences
• Ability to tackle ambiguous and undefined problems
• Previous experience with international growth preferred

#LI-Remote #LI-NH1

Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please contact us at ApplicationAssistance@Reddit.com .]]>
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