Actalent is Hiring Data Analyst

Actalent is a global talent solutions company that connects specialized talent with organizations to drive innovation and growth1

. It was formed by consolidating two leading engineering and sciences companies, combining specialized talent solutions with technical services capabilities1

. Actalent is part of Allegis Group, a global leader in talent solutions

Their mission is to cultivate specialized talent with the right insights and technological aptitude to help clients realize a more advanced future1

. They work with clients across various industries to deliver exceptional talent and services, driving advancements and results1

Job description

Relevant Experience

5+ years

Desired Education Qualification

Masters degree in computer science,

Tools/Skillset if applicable

Data mining, Machine learning techniques C/C++, Python: Pandas, NumPy, SciPy

Job Description:

Excellent understanding of data mining, machine learning techniques and algorithms

Knowledge of statistical programming languages, including but not limited to R, Python, SLQ, etc., to process data and gain insights from it.

Strong coding experience: C/C++, Python, Java, JavaScript, etc.

Solid background in database management tools such as SQL

Broad set of technical skills and expertise in machine learning focused on cutting edge technologies such as IoT, artificial intelligence (AI), and cloud computing.

Familiar with IoT framework and experience in implementing analytics algorithms in any of the cloud-based platforms Azure, PTC, AWS.

Good understanding of control systems

Preferred Technical Skills/Education:

Strong hands-on experience in an analytics environment and applications.

Strong hands-on experience in collecting, filtering, organizing, and analyzing large-scale dataset using cloud-based platform.

Strong hands-on experience in implementing analytics algorithms to cloud based IoT platforms (Microsoft Azure preferred).

Strong hands-on experience with the following libraries from Python: Pandas, NumPy, SciPy, Scikit-Learn, TensorFlow, Matplotlib, Seaborn, Plotly, SALib.