Senior Data Scientist

Programming, Python, Computer, Java, DSP, Networks
Full Time

Job Description

Our client is a leading developer of edge intelligence software for industrial and commercial IoT application solutions.
Required Skills & Experience

Candidates must meet ALL of the following qualifications:
  • Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
  • Three years of industry work experience, developing data mining models which were deployed and used.
  • Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
  • Data mining algorithm experience in at least 3 algorithms within any of the bullets below:
    • deep learning (TensorFlow, Convolutional Neural Nets (CNN) or related),
    • prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles),
    • clustering (k-means, DBSCAN or other) or Bayesian networks
Desired Skills & Experience
  • Any of the following extra qualifications will make a candidate more competitive:
  • Soft Skills
    • Sets expectations, develops project plans and meets expectations.
    • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
  • Technical skills
    • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
    • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
    • Training or experience in Deep Learning, such as TensorFlow, Keras, PyTorch, ONNX, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don't have deep learning experience, we will train you on the job.
    • Java, Android development
    • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
    • OpenCV or other image processing tools or libraries
    • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure.
    • Decision trees like XGBoost or Random Forests is helpful.
    • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
    • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
    • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
    • Experience with PMML is of interest (see www.DMG.org).
  • Vertical experience in Industrial Internet of Things (IoT) applications:
    • Energy: Oil and Gas, HVAC energy consumption, Wind Turbines
    • Manufacturing: Motors, chemical processes, tools, automotive
    • Smart Cities: Elevators, cameras on population or cars, power grid
    • Transportation: Cars, truck fleets, trains
What You Will Be Doing
  • Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
  • The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
  • Integrate the data mining projects embedded data mining applications in our platform (on Docker or Android).
The Offer
  • Competitive Salary: Up to $195,000/year, DOE

You will receive the following benefits:
  • Medical Insurance & Health Savings Account (HSA)
  • 401(k)
  • Paid Sick Time Leave
  • Pre-tax Commuter Benefit
  • Equity


Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.

Our client is a leading developer of edge intelligence software for industrial and commercial IoT application solutions.
Required Skills & Experience

Candidates must meet ALL of the following qualifications:
  • Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
  • Three years of industry work experience, developing data mining models which were deployed and used.
  • Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
  • Data mining algorithm experience in at least 3 algorithms within any of the bullets below:
    • deep learning (TensorFlow, Convolutional Neural Nets (CNN) or related),
    • prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles),
    • clustering (k-means, DBSCAN or other) or Bayesian networks
Desired Skills & Experience
  • Any of the following extra qualifications will make a candidate more competitive:
  • Soft Skills
    • Sets expectations, develops project plans and meets expectations.
    • Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
  • Technical skills
    • Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
    • Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
    • Training or experience in Deep Learning, such as TensorFlow, Keras, PyTorch, ONNX, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don't have deep learning experience, we will train you on the job.
    • Java, Android development
    • Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
    • OpenCV or other image processing tools or libraries
    • Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure.
    • Decision trees like XGBoost or Random Forests is helpful.
    • Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
    • Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
    • Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
    • Experience with PMML is of interest (see www.DMG.org).
  • Vertical experience in Industrial Internet of Things (IoT) applications:
    • Energy: Oil and Gas, HVAC energy consumption, Wind Turbines
    • Manufacturing: Motors, chemical processes, tools, automotive
    • Smart Cities: Elevators, cameras on population or cars, power grid
    • Transportation: Cars, truck fleets, trains
What You Will Be Doing
  • Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
  • The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
  • Integrate the data mining projects embedded data mining applications in our platform (on Docker or Android).
The Offer
  • Competitive Salary: Up to $195,000/year, DOE

You will receive the following benefits:
  • Medical Insurance & Health Savings Account (HSA)
  • 401(k)
  • Paid Sick Time Leave
  • Pre-tax Commuter Benefit
  • Equity
Dice Id : 10105282
Position Id : 460765
Originally Posted : 6 days ago
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