Data Science | Data Engineering | Machine Learning / AI / Computer Vision | Data Analytics | Database
Data Recruiting Expertise
Motion teams dedicated to Data recruiting deeply understand this tech sector and — more importantly — deeply penetrate their local marketplace to create rich and relevant networks with a focus on the following disciplines:
Python, R, SQL
Spark, Hadoop, MapReduce, Hive, Pig, Kafka
Machine Learning / AI / Computer Vision
TensorFlow, Caffe, Keras, Theano, PyTorch, Scikit-learn, OpenCV, MATLAB, CUDA, PCL, Dlib
Business Intelligence, Data Visualization, ETL, Data Warehousing
NoSQL, MySQL, PostgreSQL, SQL, Oracle
National Market Insights for Data Recruiting
Recruitment trends are the backbone of how we work. Our teams research and share local marketplace intel as part of our everyday routine and data-driven approach to produce results.
Open Jobs per Candidate
Data Warehouse Engineer
Annual Change in Market Demand
Top Employing Geography
In 2020, we have seen many diverse hiring themes across the enterprise, banking, SaaS and start-up realms, but one theme across the board is specialized hiring for both cloud transformation projects and Application Security. From a cloud standpoint, whether AWS, Azure or GCP, organizations are hiring Cloud Security experts to help architect, implement, lift and shift. The other specialized demand for Application Security engineers comes from the continuing need to drive security into the SDLC and ensure the secure function of software application programs. Reports say the 500,000 cybersecurity jobs are unfilled in the US alone right now, and these are two of the hottest cybersecurity jobs in 2020 – and the hardest to find candidates.
5 years at Motion
Recruitment Expert in Data
You have to be careful when recruiting for data engineers or it simply ends up being a hunt for buzzwords — Hadoop, Spark, MapReduce, Kafka, etc. More often than not, this fails to net a match. It’s never just WHAT data technology is being used, but rather HOW (batch processing, data streaming), WHY (visualization, real-time analytics, BI reporting), and WHERE (third parties, internal metrics, user metadata) it’s used that unlocks the true set of capabilities and value of a candidate.
13 years at Motion
Recruitment Expert in Data
Future of Data & Machine Learning
AI & ML models are built on historical data, but due to global shifts in today’s market, these models may be making predications based on previously unseen conditions. Watch Tech in Motion’s panel of experts discuss what tech leaders need to keep in mind during this ever-evolving climate.
Data Science & ML: Expert Interview
With the need for Data Science and ML professionals up by 50% across several industries in 2020, we sat down with VP of Data Science, Lacey Plache, to discuss how the two teams can best integrate together.
Case Study: Finding Big Data Engineers
See how we helped a Fortune 500 Banking Company find Senior Big Data Engineers, Senior Java Engineers and Scala Engineers near Washington, D.C.