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Analytics Engineer

Agilisium

Analytics Engineer

Los Angeles, CA
Full Time
Paid
  • Responsibilities

    Job Description

     

    Agilisium is looking for an Analytics Engineer to develop business intelligence and analytics capabilities that provide the business with new insights. In this role, the Senior Engineer will help to manage initiatives in Data, BI and Analytics, supporting existing and planned activities within organization as well as assist in defining standardized

     

    JOB DESCRIPTION

    Identify valuable data sources and automate collection processes

    Undertake preprocessing of structured and unstructured data

    Analyze large amounts of information to discover trends and patterns

    Build predictive models and machine-learning algorithms

    Present information using data visualization techniques

    Propose solutions and strategies to business challenges

    Research and devise innovative statistical models for data analysis

    Enable smarter business processes—and implement analytics for meaningful insights

    Keep current with technical and industry developments

     

    SKILLS WE’RE LOOKING FOR:

    Strong pro-active communication, with great attention to detail. Experience with data querying languages, and statistical or mathematical software.

    Proficient in writing algorithms and knowing when to apply them.

    Excellent understanding of statistics, multi-variable calculus and linear algebra.

    Demonstrated ability to work in a fast paced / dynamic team environment and possess time management skills in meeting critical deadlines.

    Excellent oral/written communication skills and interpersonal skills to support interaction with internal customers, team members, and internal management.

    Willingness to participate in after-hour and on-call support.

     

    QUALIFICATIONS:

    Hands-on experience with building semantic-layer business intelligence solutions including metrics, dashboards and data visualization

    Experience with hardcore statistical modeling, predictive modeling and advanced data science skills

    Knowledge of R, SQL and Python a must; familiarity with Scala, Java or C++ is an asset

    Experience using business intelligence tools (e.g. Micsrostrategy, Tableau) and data frameworks (e.g. Hadoop)

    Advanced pattern recognition and predictive modeling experience

    Experience with machine learning toolkits including, H2O, SparkML or Mahout

    Experience in C, Perl, Javascript or other programming languages is a plus.

    Deep knowledge of data mining, machine learning, natural language processing a must (e.g Regression models, Monte Carlo simulation, Random Forest, k-NN, Naïve Bayes, Support Vector Machine, Unsupervised learning etc)

    Agilisium is an equal opportunity employer. All applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. To be considered for this role you must be authorized to work in the United States for any employer.

    Company Description

    Agilisium is a Los Angeles based Big Data Analytics firm and AWS Advanced Consulting Partner with a clear focus on helping organizations take the Data-to-Insights Leap in a sensible, scalable and secure manner. Our services currently cover the entire data value chain, ranging from Data Consulting, Data Engineering and Data Analytics, with future focus & investment in Data Science, AI and ML. We provide unparalleled growth to our associates given our technology focus, including investment in Data Science, AI/ML and R&D labs. The BI Conversational Bot, which is implemented with many of our clients is a testament to our R&D capabilities. And we are AWS certified in competencies such as Data & Analytics, Redshift, EMR. We have clients in across many verticals, including Healthcare, Supply Chain, Technology, Gaming Industry and with significant experience in Media & Entertainment, given that we are working with 4 of the Big 5 studios in the US. Currently, we are a 250+ organization, with offices in the US, India, Canada, Costa Rica, and the UK and we have executed some of the complex projects using AWS services.