出海雷达

Fresher - Data Science Engineer

AI开发工程限定地区(需当地身份)
公司Busigence Technologies
薪资未公开
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。
关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

This is a remote position. Please go through the entire job post thoroughly before pressing Apply. Post pressing Apply, you shall reach the assessment page that must be attempted. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behaviour enabling strengthened decisions. Fresher - Data Science EngineerTeam: Sciences Location: Remote Relevant Exp: 0-2 Years Background: Been there-Done that Compensation: Above industry standards Requirements This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would required to be proactive and responsiveRemote position (work-from-anywhere) Immediate joiners must apply Data Science Experienced - course/competitions//internships/job (<2 years) Competitive compensation ************ | MUST HAVE | ************1. Code in Python3 - Numpy? 2.Code in Python3 - Pandas? 3.Code in Python3 - Scikit-learn? 4.Implemented full-cycle data science on real-world problem (not just academic or kaggle projects)? 5.Implemented SQL queries 6.Developed algorithms in Python3 7.Confidence to learn PySpark3 within a month?(we shall guide but won't spoon-feed) =========================================== 我们提供了应用式 ML 最具挑战性和最令人兴奋的工作之一。你将在复杂的平台,产品和应用程序上工作。我们正在寻找一个真正热情开发者。数据科学,机器学习和自动化。产品开发经验最好是创业或精益团队所需的角色。构建数据准备应用,包括除物,检测异常情况,识别不一致性和转换 2. 构建应用程序用于数据探索,包括缺失值推算,异常分析,类分差,相关性和可视化 3.构建功能工程的应用程序,包括特性生成,功能转换,功能选择 4.构建模型开发,超参数优化,模型选择,培训,验证和预测等机器学习模式的应用程序 5.构建机器学习自动化的应用程序

查看英文原文

This is a remote position.
Please go through the entire job post thoroughly before pressing Apply. Post pressing Apply, you shall reach the assessment page that must be attempted.
. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .
Busigence is a Decision Intelligence Company. We create decision intelligence products for real people by combining data, technology, business, and behaviour enabling strengthened decisions.

Fresher - Data Science EngineerTeam: Sciences

Location: Remote

Relevant Exp: 0-2 Years

Background: Been there-Done that

Compensation: Above industry standards

Requirements

This is an immediate requirement. We shall have an accelerated interview process for fast closure - you would required to be proactive and responsiveRemote position (work-from-anywhere)

Immediate joiners must apply

Data Science Experienced - course/competitions//internships/job (<2 years)

Competitive compensation

************
| MUST HAVE |
************1. Code in Python3 - Numpy?

2.Code in Python3 - Pandas?

3.Code in Python3 - Scikit-learn?

4.Implemented full-cycle data science on real-world problem (not just academic or kaggle projects)?

5.Implemented SQL queries

6.Developed algorithms in Python3

7.Confidence to learn PySpark3 within a month?(we shall guide but won't spoon-feed)

===========================================

We are offering one of the most challenging & exciting work on Applied ML. You shall be working on sophisticated platforms, products and applications

===========================================

We are looking for developer with real passion for data science, machine learning and automation. This is aspecialistandindividual contributorrole.Product developmentexperience preferably ata startup or a lean teamis desired

ROLE

Mandatory

1. Building applications for data preparation that includes impurities removal, anomaly detection, identifying inconsistencies and tranformations

2. Building applications for data exploration that includes missing value imputation, outlier analysis, class imbalance, correlation, and visualization

3. Building applications for feature engineering that includes feature generation, feature transformation, feature selection

4. Building applications for machine learning modeling that includes models development, hyperparameter optimization, model selection, training, validation and prediction

5. Building applications for machine learning automation that includes automating components included in each of the applications and automating integrated data science pipeline

6. Building sophisticated deterministic, stochastic and neural network models from scratch, in map reduce paradigm enabling distrubuted computing

Preferred

1. Functional programming in Python on vinaigrette map-reduce lambda paradigm

2. Complex mathematical logics through PySpark at scale on parallel/distributed clusters

3. Worked on development of data platform

4. Worked on TensorFlow, PyTorch, Keras

Benefits

How to ApplyYou should apply online by clicking "Apply Now".For queries regarding an open position, please write For more information, visit
Products:

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Scaling established startup innovating & disrupting various domains through artificial intelligence. We bring those people onboard who are dedicated to deliver wisdom to humanity by solving the world’s most pressing problems differently thereby significantly impacting thousands of souls, everyday.We are a deep rooted organization with success story having worked with folks from top tier background (IIT, NSIT, DCE, BITS, IIITs, NITs, IIMs, ISI etc.) maintaining an awesome culture with a common vision to build great data products. In past we have served fifty five customers and presently developing Enterprise AI products. More details at We work extensively & intensely on big data, data science, machine learning, deep learning, reinforcement learning, data analytics, natural language processing, cognitive computing, and business intelligence.

We look for intent & talent, not skills1. You must be [super sharp]2. You must be [extremely energetic]3. You must be [honourably honest]In addition to the regular stuff which every good startup offers – Lots of learning, Food, Parties, Open culture, Flexible working hours, and what not….

We offer you:[Greatest work of life]

You shall be working on our revolutionary products which are pioneer in their respective categories. This is a fact.

We try real hard to hire fun loving crazy folks who are driven by more than a paycheque. You shall be working with creamiest talent on extremely challenging problems at most happening workplace

Originally posted on Himalayas

本页面信息整理自 Himalayas,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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