Pay range is $74 - $80 per hour with full benefits available, including paid time off, medical / dental / vision / life insurance, 401K, parental leave, and more.

Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

THE PROMISES WE MAKE :

At Crystal Equation, we empower people and advance technology initiatives by building trust. Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start.

We will serve to empower you along the way and provide the path for your professional journey.

Data Scientist IV

Summary :

The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.

Responsibilities :

• Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
• Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
• Generate and test hypotheses and analyze and interpret the results of product experiments.
• Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
• Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.

Skills :

• Experienced in either programming languages such as Python and / or R, big data tools such as Hadoop, or data visualization tools such as Tableau.
• The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
• Experience working with large datasets.

Education / Experience :

• Master of Science degree in computer science or in a relevant field.

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

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.

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

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

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Additional Information

All your information will be kept confidential according to EEO guidelines.

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