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Data Scientist

Company: Sterling Engineering
Location: Fort Worth
Posted on: May 16, 2022

Job Description:

Job DescriptionTitle: Data ScientistLocation: Fort Worth, TX 76131Duration and hire type: Direct HireI am looking for an accomplished Data Scientist to join a large scale enterprise data science team. This individual will have strong experience in Python and R, large scale database environment, qualitative and quantitative analytics, and Stack packages. Additionally experience with data visualization tools and series analysis.Key Job Elements:• Contribute to the design, development, testing, and deployment of software systems and applications:• Analyze large amounts of machine sensor data for pattern search:• Process, cleanse, and verify the integrity of data used for analysis:• Develop anomaly detection, condition based monitoring, and digital twin models: • Apply ML and other advanced analytical techniques on time series machine sensor data to classify machine failure modes:• Understand the business needs and develop data-based solutions:• Perform ad-hoc analysis and present results in a clear manner:• Support field reported issue resolution through data analysis:• Perform system integration of ML models:• Mentor and assist data scientists providing technical assistance and direction as needed:• Travel as required. Education/Training:• B.S, M.S, or PhD degree in quantitative discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, or other related degree:• 6+ years of software development experience with B.S., or 5+ years of experience with Master's degree or 4+ years of experience with a PhD;• 6+ years of experience with Python, R, SQL, and relational data bases. Qualifications & Experience:Required:• Highly experienced Data Scientist with over 6 years' experience in Data Extraction, Data Modelling, Data Wrangling, Statistical Modeling, Data Mining, Machine Learning and Data Visualization:• Expertise in transforming business resources and requirements into manageable data formats and analytical models, designing algorithms, building models, developing data mining and reporting solutions that scale across a massive volume of structured and unstructured data:• Proficient in managing entire data science project life cycle and actively involved in all the phases of project life cycle including data acquisition, data cleaning, data engineering, features scaling, features engineering, testing and validation and data visualization. • Proficient in Machine Learning algorithms (such as Regression Models, Decision Tree, Random Forests, and others) and Predictive Modeling:• Good applied statistics skills, such as distributions, statistical testing, regression, etc;• Experience working in large scale database environment like Hadoop and MapReduce, with working mechanism of Hadoop clusters, nodes and Hadoop Distributed File System (HDFS):• Strong experience with Python (2.x,3.x) and R to develop analytic models and solutions:• Proficient in Python 2.x/3.x with SciPy Stack packages, including NumPy, Pandas, SciPy, Matplotlib and IPython;• Working experience in Hadoop ecosystem and Apache Spark framework such as HDFS, MapReduce, HiveQL, SparkSQL, PySpark;• Very good experience and knowledge in provisioning virtual clusters under AWS cloud which includes services like EC2, S3, and EMR:• Experience with Snowflake data warehouse:• Experience in integrating ML models into larger deployed systems:• Proficient in data visualization tools such as Tableau, Python Matplotlib, R Shiny to create visually powerful and actionable interactive reports and dashboards:• Knowledge on time series analysis, Natural Language Processing (NLP) algorithm and Text Mining:• Experience with elastic search and NoSQL databases, such as Cassandra:• Experience in Agile methodology and SCRUM process:• Strong business sense and abilities to communicate data insights to both technical and nontechnical clients:• Competent to perform all job duties without close supervision. Desired: • Experience analyzing telematics data from equipment such as engines, machines, and others:• Experience with PFA model deployments.Overview:Sterling Engineering / Staffing has a rich history of delivering top talent to our clients. We are a nationwide Staffing Firm with over 100 clients and works primarily with Fortune 1000 corporations.

Qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information

Keywords: Sterling Engineering, Fort Worth , Data Scientist, Other , Fort Worth, Texas

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