远程工作雷达

初级-数据科学工程师

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
前往 Himalayas 查看并投递 →
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。

这是一个远程职位。
请在点击申请前仔细阅读整个职位描述。点击申请后,您将进入必须完成的评估页面。

Busigence 是一家决策智能公司。我们通过结合数据、技术、业务和行为,为真实的人创建决策智能产品,以增强决策能力。

Fresher - 数据科学工程师
团队:科学部

地点:远程

相关经验:0-2 年

背景:有相关经验

薪资:高于行业标准

要求

这是紧急需求。我们将进行加速面试流程以便快速完成招聘——您需要积极主动并及时响应
远程职位(可随时随地工作)

急需入职者请申请

数据科学经验 - 课程/竞赛/实习/工作(少于2年)

具有竞争力的薪资

************
| 必须具备 |
************1. 使用 Python3 编程 - Numpy?

2. 使用 Python3 编程 - Pandas?

3. 使用 Python3 编程 - Scikit-learn?

4. 在实际问题上实现完整的数据科学流程(不只是学术或 Kaggle 项目)?

5. 实现 SQL 查询

6. 使用 Python3 开发算法

7. 有信心在一个月内学习 PySpark3?(我们会指导,但不会手把手教学)

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

我们提供最具有挑战性和令人兴奋的 Applied ML 工作。您将参与复杂的平台、产品和应用

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

我们寻找对数据科学、机器学习和自动化有真正热情的开发者。这是一个专家和独立贡献者的角色。有初创公司或精简团队的产品开发经验者优先

职责

必备条件

1. 构建用于数据准备的应用程序,包括去除杂质、检测异常、识别不一致性和转换

2. 构建用于数据探索的应用程序,包括缺失值填补、异常值分析、类别不平衡、相关性分析和可视化

3. 构建用于特征工程的应用程序,包括特征生成、特征转换和特征选择

4. 构建用于机器学习建模的应用程序,包括模型开发、超参数优化、模型选择、训练、验证和预测

5. 构建用于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:

Careers:

Research:

Jobs:

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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