Data Science Jobs: Who’s Hiring & Where can You Apply for this Week?

Analytics Insight has listed top data science jobs that aspirants should apply for this week

As big data touches all aspects of every industry, the need for talented people who are capable of dealing with data has spiked over the past few years. Even non-tech companies without IT teams and infrastructures are looking for data scientists to work with data and analytics. Today, big data and analytics are considered the driving force behind business operations, marketing strategies, logistical decisions, and the burgeoning field of artificial intelligence. More spotlights on technology have opened the door for more data science vacancies across different spheres. On the other hand, the rise of cloud computing, IoT, and data centers, has also spiraled the importance of data science. Owing to all the technological developments, the data science job market has numerous openings throughout the year. Henceforth, Analytics Insight has listed top data science jobs that aspirants should apply for this week.

Top data science jobs of the week

Specialist I- Data Scientist at Philips India Limited

Location: Bengaluru, Karnataka, India

About the company: Philips India Limited is a subsidiary of Royal Philips of the Netherlands. Royal Philips is a leading health technology company focused on improving people's health continuum from healthy living and prevention, to diagnosis, treatment, and home care. Founded in 1930, Philips India Limited leverages advanced technology and deep clinical and consumer insights to deliver integrated solutions.

Role and Responsibilities: As a data scientist, the candidate should design and develop project prototypes and solutions. One should participate in project estimation, planning, and risk management activities. They are responsible for delivering input in the planning process to the project leader. The candidate should ensure that there is proper documentation for the developed solutions and compliance to the quality management system and regulatory requirements.

Qualifications:

• The candidate should have 4-7 years of job experience in the data science fields.
• One should be fluent in algorithms on regression modeling, supervised and unsupervised classification, tree-based techniques, neural nets, bagging, pattern mining, and boosting techniques.
• They should be proficient in developing models using concepts of artificial intelligence, machine learning, and deep learning related techniques using tools such as Keras, TensorFlow, PyTorch, Azzure ML, AWS ML, Scikit, Jupyter, MatLab, etc.

Apply here for the job.

SDE Lead Data Scientist- L3 at Huawei Technologies India

Location: Bengaluru, Karnataka, India

About the company: Huawei is a leading provider of information and communications technology (ICT) infrastructure and smart devices. Founded in 1987, the company is committed to bringing digital to every person, home, and organization for a fully connected, intelligent world. Huawei Technologies India Pvt. Ltc., established in 1999 in Bengaluru, is the first overseas research and development center of Huawei Technologies Co. Ltd. Over the past few years, Huawei Technologies India has evolved to play a bigger role in the innovation journey of Huawei, developing future-oriented technologies.

Roles and responsibilities: As a lead data scientist, the candidate is expected to help Huawei India discover the information hidden in vast amounts of Ad Campaign data, and aid them to optimize the campaign to improve the advertiser ROI and overall consumer experience. One's primary focus will be in applying data mining techniques, doing statistical analysis, and building high-quality prediction systems using deep learning algorithms integrated with the company's products. They should take up key challenges in AI-driven smart Ad Serving Platform and focus on research and developing leading AI algorithms and production for Huawei Ads.

Qualifications: 

• The candidate should have strong hands-on experience in implementing and validating big data algorithms and models including deep learning models like Aeq2Seq/GRU/RNN/LSTM, Knowledge Graph, Massive Graph Algorithms, etc.
• He/she should have programming experience with Python.
• They should be able to validate existing models including deep learning models with large-scale datasets and make changes to the models to achieve better performance.

Apply here for the job.

Data Science Consultant at KPMG 

Location: Bengaluru, Karnataka, India

About the company: KPMG International is the third-largest accounting firm in the world. KPMG India, established in 1993, has rapidly built a significant competitive presence in the country. The company's differentiation is derived from rapid performance-based, industry-tailored, and technology-enabled business advisory services delivered by some of the leading talented professionals in the country.

Roles and responsibilities: The data science consultant is expected to have strong command over statistics, data analysis, machine learning, and predictive modeling. One should know to validate different algorithms and choose why to use one v/s the other, how to tune, etc. They should be strong on either R or Python programming and also should know code versions through GitHub.

Qualifications: 

• The candidate should have 3-8 years of relevant experience in the data science field.
• One should own a degree (B.E/B.Tech). A Post-graduation degree like M.tech or M.S is also preferred.

Apply here for the job.

Data Analyst at Intel Corporation

Location: Folsom, CA

About the company: Intel Corporation is an American multinational corporation and technology company working on semiconductor chip manufacturing. Founded in 1968, Intel's technology is used as a computing breakthrough. The company creates world-changing technology that enables global progress and enriches lives. Intel is initiating further trailblazing solutions in artificial intelligence, 5G network transformation, the rise of intelligent edge, etc.

Roles and responsibilities: The data analyst role is a global position with accountability to stakeholders from across a variety of regions and functional groups. As a data analyst, the candidate will be responsible for managing and further defining the processes by which additions and modifications are made to the company's customer information systems, and for facilitating adherence to data governance standards. One should execute customer data synchronization across various systems to create and maintain a seamless customer experience. They should identify the troubleshoot discrepancies in customer profile information using a combination of defined processes, research, and critical thinking.

Qualifications: 

• The candidate should have relevant education (BS degree in disciplines like business, management, information systems, or data science).
• One should have 5+ years of work experience in data management, process documentation, and complex problem-solving.
• They should have strong data mining, analytics, and problem-solving skills.

Apply here for the job.

Data Analyst at Amex Ethics Office, American Express

Location: New York, United States

About the company: American Express is a global travel, financial, and network services provider. The company provides individuals with change and credit cards, traveler's cheques, and other stored value products. American Express has moved from freight forwarding to travel to cards to innovative digital products and services, with a constant goal to earn customers' loyalty and trust.

Roles and responsibilities: As a data analyst, the candidate will assist in the expansion of the Amex Ethics Office Code of Conduct Reporting. The job role requires a candidate who has experience in data modeling, manipulation, and processing to enhance the AEO Code of Conduct database. One is also responsible for assisting in creating dashboards through business intelligence tools to automate American Express's analytic capabilities. They should work closely with technology partners to debug components, identify fixes, and verify remediation of code defects.

Qualifications:

• The candidate should have 2+ years of experience in data analytics plus demonstrated skills in database management and process automation.
• One should be able to work on the dashboard, visualization, and report development experience using Power BI or other similar report management tools.
• They should also be experienced with SQL, database management, and API.
• Another skill like experience in ETL pipelines, Python/R, etc is preferred.

Apply here for the job.