Data Scientist
Data Scientist
Full-time
Company Description
MuteSix is the real-time performance marketing agency with a proven track record of accelerating growth for disruptor and challenger brands.
Delivering over $1B in trackable revenue in 2021, enabling funding and acquisition, real business outcomes for brands at every stage of growth.
Job Description
Data Scientist
The DataSix team works with high-growth, Ecommerce companies that are looking to scale and expand their business through multi-channel marketing investment management with MuteSix.
The Data Scientist role will collaborate closely with data science, product, and data analytics teams while supporting enterprise client engagements.
This person has strong analytical skills and is eager to get hands-on experience in applying data science concepts to digital marketing business applications.
Job Functions
- Engineering solutions to fuel product offerings that can be adapted to a repeatable framework for the analytics and media activation teams to utilize
- Building applied machine learning models for digital marketing campaign optimization, analyzing causal inference, creating budget optimization frameworks, and designing randomized control tests
- Analyzing large data sets to extract key insights to inform marketing recommendations for optimizations
- Collaborating with data engineering, product, media activation and growth strategy teams
- Clearly articulate complex, technical results and methods from applied models to internal stakeholders across product, analytics and media activation teams
Qualifications
- 1-3 years of relevant data science experience or a Master’s degree in a quantitative field such as applied economics, math, or statistics
- Strong MMM experience; must build the MMM from the ground up
- Strong programming skills in R and Python
- Strong analytical track record turning data into actionable insights and recommendations
- Working knowledge of statistical modeling and machine learning techniques
- Ability to multi-task across simultaneous projects and deadlines, processing, and communication information action quickly to appropriate parties
- Self-starter that is proactive, organized, and able to work independently as well as collaboratively
- Experience or, understanding of the digital marketing landscape including, Paid Social, Paid Search, Programmatic, and general digital marketing strategies is a plus
- A general understanding of various Ecommerce business models and verticals is a plus
- Please note : coding samples (ideally a link to coding samples) are required with resume in applications
LI-AG1
Additional Information
About dentsu
Dentsu is the network designed for what’s next, helping clients predict and plan for disruptive future opportunities in the sustainable economy.
Taking a people-centered approach to business transformation, dentsu combines Japanese innovation with a diverse, global perspective to drive client growth and to shape society .
We are champions for meaningful progress and we strive to be a force for good for our people, for our clients, for the industry and for our society.
We keep our people at the center, creating space for growth, understanding and learning so they can thrive. We embed diversity, in our mindset, in our solutions and in our teams to empower an inclusive, equitable and culturally fluent environment.
Building this culture within our teams makes us better collaborators with each other and with our clients, driving better outcomes for all.
Dentsu (the "Company") is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee of the Company, on the basis of age, sex, sexual orientation, race, color, creed, religion, ethnicity, national origin, alienage or citizenship, disability, marital status, veteran or military status, genetic information, or any other legally-recognized protected basis under federal, state or local laws, regulations or ordinances.
Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and / or certain state or local laws.
A reasonable accommodation is a change in the way things are normally done that will ensure an equal employment opportunity without imposing an undue hardship on the Company.
Please contact your recruiter if you need assistance completing any forms or to otherwise participate in the application process or to request or discuss an accommodation in connection with a job at the Company to which you are applying.
Related Jobs
Data Scientist
Data Scientist
Full-time
Company Description
MuteSix is the real-time performance marketing agency with a proven track record of accelerating growth for disruptor and challenger brands.
Delivering over $1B in trackable revenue in 2021, enabling funding and acquisition, real business outcomes for brands at every stage of growth.
Job Description
Data Scientist
The DataSix team works with high-growth, Ecommerce companies that are looking to scale and expand their business through multi-channel marketing investment management with MuteSix.
The Data Scientist role will collaborate closely with data science, product, and data analytics teams while supporting enterprise client engagements.
This person has strong analytical skills and is eager to get hands-on experience in applying data science concepts to digital marketing business applications.
Job Functions
- Engineering solutions to fuel product offerings that can be adapted to a repeatable framework for the analytics and media activation teams to utilize
- Building applied machine learning models for digital marketing campaign optimization, analyzing causal inference, creating budget optimization frameworks, and designing randomized control tests
- Analyzing large data sets to extract key insights to inform marketing recommendations for optimizations
- Collaborating with data engineering, product, media activation and growth strategy teams
- Clearly articulate complex, technical results and methods from applied models to internal stakeholders across product, analytics and media activation teams
Qualifications
- 1-3 years of relevant data science experience or a Master’s degree in a quantitative field such as applied economics, math, or statistics
- Strong MMM experience; must build the MMM from the ground up
- Strong programming skills in R and Python
- Strong analytical track record turning data into actionable insights and recommendations
- Working knowledge of statistical modeling and machine learning techniques
- Ability to multi-task across simultaneous projects and deadlines, processing, and communication information action quickly to appropriate parties
- Self-starter that is proactive, organized, and able to work independently as well as collaboratively
- Experience or, understanding of the digital marketing landscape including, Paid Social, Paid Search, Programmatic, and general digital marketing strategies is a plus
- A general understanding of various Ecommerce business models and verticals is a plus
- Please note : coding samples (ideally a link to coding samples) are required with resume in applications
LI-AG1
Additional Information
About dentsu
Dentsu is the network designed for what’s next, helping clients predict and plan for disruptive future opportunities in the sustainable economy.
Taking a people-centered approach to business transformation, dentsu combines Japanese innovation with a diverse, global perspective to drive client growth and to shape society .
We are champions for meaningful progress and we strive to be a force for good for our people, for our clients, for the industry and for our society.
We keep our people at the center, creating space for growth, understanding and learning so they can thrive. We embed diversity, in our mindset, in our solutions and in our teams to empower an inclusive, equitable and culturally fluent environment.
Building this culture within our teams makes us better collaborators with each other and with our clients, driving better outcomes for all.
Dentsu (the "Company") is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee of the Company, on the basis of age, sex, sexual orientation, race, color, creed, religion, ethnicity, national origin, alienage or citizenship, disability, marital status, veteran or military status, genetic information, or any other legally-recognized protected basis under federal, state or local laws, regulations or ordinances.
Applicants with disabilities may be entitled to reasonable accommodation under the terms of the Americans with Disabilities Act and / or certain state or local laws.
A reasonable accommodation is a change in the way things are normally done that will ensure an equal employment opportunity without imposing an undue hardship on the Company.
Please contact your recruiter if you need assistance completing any forms or to otherwise participate in the application process or to request or discuss an accommodation in connection with a job at the Company to which you are applying.
Data Scientist
Pay rate range - $73 / hr. to $76 / hr. on W2
Hybrid role
Job Description :
seeking an experienced Data Scientist to join the Product, Data, and Technology team.
You will play a key role in analyzing critical business operations and developing state-of-the-art techniques to optimize and quantify the impact of complex business processes and decisions.
Key subject areas include advertising inventory forecasting and yield optimization, causal impact, and opportunity cost analysis.
This role is ideal for someone that combines strong data analysis experience with the implementation of data science models that create business impact as well as superb stakeholder communication.
There is a level of complexity with some of the problems the team is working on that need a Data Scientist and statistical analysis expertise to solve.
Problems include advertising inventory forecasting, metric problems and questions around incremental values and specific actions and opportunity costs of shifting marketing impressions from one platform to another.
Must Have
Statistical Analysis
Forecast Model Building
Experience working with large data
Data Scientist - Mining
Work Mode : Onsite
Onsite
Responsibilities :
Welcome to Lightspeed LA (Irvine), the first , AAA game development studio for Tencent Games, where we are focused on building open-world games that emphasize an ambitious living world, sophisticated player-driven gameplay, and mature, thoughtful storytelling!
Why join Lightspeed Tech Center?
Creation is the soul of our studio. For us, it’s not only about the exciting, new AAA open world game we’re developing, but also about team values and studio culture.
We foster an open and transparent environment where everyone feels comfortable providing constructive feedback about all aspects of our games.
- We encourage the showing of work that’s still in progress
- We don’t attack or question unfinished work, we celebrate its promise
- We have a No Blame Culture where we blame the problem, not the person
This is a safe place to fail, and we don't view failure as a negative, but as the natural result of pushing boundaries and exploring new ideas.
We create together. We face challenges together. Most importantly, we succeed together.
LightSpeed LA is seeking a talented and enthusiastic Data Scientist to join our support teams at Tech Center in Los Angeles, California.
The ideal candidate will have a strong passion for games and enable content creators to deliver the most polished experience for our players.
Join our team of industry veterans and help us build a team and culture of respect that pushes boundaries while having lots of fun.
Responsibilities :
- Research on state-of-the-art machine learning, deep learning, social-network data mining and recommendation algorithms with game data, help design, evaluate and improve the core algorithm and strategy for online AI serving.
- Response for deep statistical analysis from large-scale data, mining for user behavior and attributes, building user portraits.
- By datamining and analysis, solving user pain point and proposing strategies improving user retention.
- Improving data analysis pipelines, combining business requirements and data, by using distributed computation platform, develop efficient and reliable data mining solutions.
- Research on recommendation algorithm or matching algorithm in gaming environments.
Requirements : Requirements :
Requirements :
- Familiar with basic and latest research results in data mining, with a strong understanding of statistical models, related machine learning principles, and experience working on data mining related projects.
- Familiar with machine learning, deep learning and recommendation algorithms such as clustering and classification, grasping and having deep understanding in at least one of them.
- Proficient in at least one programming language, familiar with basic data structures and algorithms.
- Higher priority for candidates familiar with graph models, including community discovery, graph embedding influence diffusion models.
- Higher priority for candidates familiar with causal inference or optimization algorithms.
- Higher priority for candidates having big data experience, and familiar with distributed computation framework such as Hadoop, spark, hive and etc.
- Higher priority for candidates with strong logical thinking ability, communication ability and business understanding, and familiar with game situations.
And candidates with better mathematics background are in favor.
Strong self-driven ability, team cooperation ability, anti-pressure ability and studious candidates is preferred.
Location State(s)
CaliforniaThe base pay range for this position in the state(s) above is $107,400 to $196,900 per year. Actual pay is based on market location and may vary depending on job-related knowledge, skills, and experience.
A sign on payment, relocation package, and restricted stock units may be provided as part of the compensation package, as well as other medical, financial, and / or other benefits, dependent on the specific position offered.
Data Scientist
ROLE : - Data Scientist
DURATION Contract
LOCATION : - Sunnyvale, CA
Job Description :
Python Reprocessing, Feature extraction, Aware of Machine learning. SQL, Data visualization
o Algorithm, SQL , Data Virtualization
Regards
Shubham Singh
IDC Technologies, Inc
Direct No : 408-834-4972
Mailto : [email protected]
Empowering Technologies Services
Remote Services IT Services BPO
IT Consulting Staffing Solutions
Sr Data Scientist
Job Description
We are currently looking for a Senior Data Scientist to join our Data & Analytics practice in Glendale, CA.
The Senior Data Scientist will have demonstrated his / her technical skills to lead the design and deployment of data science solutions that balance SOTA with team productivity, model reproducibility as well as support experimentation at scale, with a positive-focused, yet relentless goal for continuous improvement.
The role will lead the people, process and tool choices that support the efforts to build and deploy models that explain the real world, using a must-have combination of intuition, math and programming (Python / R and SQL are mandatory).
She / He will be a continuously learning advocate and teacher with a talent for breaking down complex systems into solvable components and executing against that vision.
As part of the role is to mentor data scientists and analysts, you love working with the team on any mix of issues that come to light such as in-depth technical / code reviews, hackathons, or whiteboarding to break down problems from multiple angles.
Responsibilities
- Exceptional verbal and written skills to convey ideas, problems and solutions
- Able to establish trust and confidence as the data science team lead, up, across and down the organization as needed
- Responsible for designing team processes and applying design patterns that apply statistical and model rigor
- Balance design choices with calculated trade-offs and revisit proactively
- SME on algorithms and designs code that can be refactored easily by a data engineers
- 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, 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, troubleshoot 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
- Coordinate design and architecture with data engineering resources
Compensation
Base Pay Range : $140,000 - $180,000
Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location.
Base pay is one part of our total awards approach to compensation which is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses or incentives.
Qualifications
- Bachelors / Masters in STEM fields such as physics, social / economics, or business with a strong technical acumen required
- Masters in Comp Science + 4 years of experience or PhD STEM degree preferred
- Alternative to education, 6+ years of experience as contributor / leader
Knowledge Skills & Abilities
- Strong verbal communication skills : ability to effectively communicate cross functionally; experience as a DS team lead or department head of data science
- 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
- Exceptional programming skills (Python, SQL, C++) in a production environment is required
REITJobs
Additional Information
All your information will be kept confidential according to EEO guidelines.
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