Data Scientist III job

company building Valorem Reply location Kansas City, KS
4.4 excellent trustpilot rating

Job

Description

Salary

Skills

Job openings

Job Description

Valorem Reply is seeking Data Science professional with nine years of experience in IT with focus in data analytics and business intelligence. Designed and implemented statistical / predictive models using machine learning techniques to deliver insights to business. Strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Responsibilities
    • Provides deep data science and related industry knowledge and consultation on strategically relevant technical areas (including latest state of the art from industry and academia).
    • Drives major data science-based projects and initiatives with high impact across multiple organizations.
    • Develops value propositions, identifying new business opportunities for data science-based innovations / solutions.
    • Demonstrates data science expertise to foresee and solve business problems to create new growth. Provides consultation as data science expert in internal as well as client engagements.
    • Establishes a strong data science network externally with academia or external organizations.
    • Understand business requirements and convert into analytical solution.
    • Analyze large amounts of information to discover trends and patterns.
    • Develop data science algorithms and generate actionable insights as per business needs and work closely with cross capability teams throughout solution development lifecycle from design to implementation and monitoring.
    • Manage day to day leadership and stakeholder communication including development plan
Requirements
    • Experience Needed: 9+ years in the following technologies:
    • Python
    • R
    • Spark/PiSpark
    • Hadoop
    • Predictive Modelling and Analytics


    • Additionally:

    • Provides deep data science and related industry knowledge and consultation on strategically relevant technical areas (including latest state of the art from industry and academia).
    • Drives major data science-based projects and initiatives with high impact across multiple organizations.
    • Develops value propositions, identifying new business opportunities for data science-based innovations / solutions.
    • Demonstrates data science expertise to foresee and solve business problems to create new growth. Provides consultation as data science expert in internal as well as client engagements.
    • Establishes a strong data science network externally with academia or external organizations.
    • Understand business requirements and convert into analytical solution.
    • Analyze large amounts of information to discover trends and patterns.
    • Develop data science algorithms and generate actionable insights as per business needs and work closely with cross capability teams throughout solution development lifecycle from design to implementation and monitoring.
    • Manage day to day leadership and stakeholder communication including development plan.


    • Technical Skills
    • Discovery Activities:
    • Analyze customer data set to understand model.
    • Includes: Data format, types, size, structure, frequency
    • Analyze consumer segment data set to understand model.
    • Current state including source, format, types, size, structure, frequency.
    • Review dashboards
    • Current dashboard
    • Metrics / calculations / complexity
    • Data Collection Activities:
    • Identify required data.
    • Collect data from sources.
    • Combine data as required.
    • Data Processing Activities:
    • Data cleaning - Includes but is not limited to handling Nulls, duplicates, missing values, datetime conversions.
    • Data processing - Includes but is not limited to impute values, split/merge/extract columns, formatting, and record linkage.
    • Exploratory Data Analysis (EDA):
    • Inspect data properties.
    • Descriptive statistics
    • Identify patterns.
    • Prioritize questions.
    • Modeling and Analysis:
    • Feature selection
    • Feature creation
    • Model evaluation
    • Model training
    • Statistical analysis
    • Visualization
    >
4.4 excellent trustpilot rating
green circle info icon  This position is open. This job was posted on Mon May 16 2022 and expires on Wed Jun 15 2022.
Minimum $68,714
$85,063 average
Maximum $121,298

Tasks

  • Analyze problems to develop solutions involving computer hardware and software.
  • Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses.
  • Assign or schedule tasks to meet work priorities and goals.
  • Meet with managers, vendors, and others to solicit cooperation and resolve problems.
  • Design computers and the software that runs them.
  • Conduct logical analyses of business, scientific, engineering, and other technical problems, formulating mathematical models of problems for solution by computers.
  • Evaluate project plans and proposals to assess feasibility issues.
  • Participate in multidisciplinary projects in areas such as virtual reality, human-computer interaction, or robotics.
  • Consult with users, management, vendors, and technicians to determine computing needs and system requirements.
  • Develop and interpret organizational goals, policies, and procedures.
  • Develop performance standards, and evaluate work in light of established standards.
  • Maintain network hardware and software, direct network security measures, and monitor networks to ensure availability to system users.
  • Direct daily operations of departments, coordinating project activities with other departments.
  • Participate in staffing decisions and direct training of subordinates.
  • Approve, prepare, monitor, and adjust operational budgets.

Skills

  • Reading Comprehension - Understanding written sentences and paragraphs in work related documents.
  • Active Listening - Giving full attention to what other people are saying, taking time to understand the points being made, asking questions as appropriate, and not interrupting at inappropriate times.
  • Writing - Communicating effectively in writing as appropriate for the needs of the audience.
  • Speaking - Talking to others to convey information effectively.
  • Mathematics - Using mathematics to solve problems.
  • Science - Using scientific rules and methods to solve problems.
  • Critical Thinking - Using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems.
  • Active Learning - Understanding the implications of new information for both current and future problem-solving and decision-making.
  • Monitoring - Monitoring/Assessing performance of yourself, other individuals, or organizations to make improvements or take corrective action.
  • Complex Problem Solving - Identifying complex problems and reviewing related information to develop and evaluate options and implement solutions.
  • Operations Analysis - Analyzing needs and product requirements to create a design.
  • Technology Design - Generating or adapting equipment and technology to serve user needs.
  • Programming - Writing computer programs for various purposes.
  • Judgment and Decision Making - Considering the relative costs and benefits of potential actions to choose the most appropriate one.
  • Systems Analysis - Determining how a system should work and how changes in conditions, operations, and the environment will affect outcomes.
  • Systems Evaluation - Identifying measures or indicators of system performance and the actions needed to improve or correct performance, relative to the goals of the system.
  • Time Management - Managing one's own time and the time of others.

Knowledge

  • Administration and Management - Knowledge of business and management principles involved in strategic planning, resource allocation, human resources modeling, leadership technique, production methods, and coordination of people and resources.
  • Computers and Electronics - Knowledge of circuit boards, processors, chips, electronic equipment, and computer hardware and software, including applications and programming.
  • Engineering and Technology - Knowledge of the practical application of engineering science and technology. This includes applying principles, techniques, procedures, and equipment to the design and production of various goods and services.
  • Design - Knowledge of design techniques, tools, and principles involved in production of precision technical plans, blueprints, drawings, and models.
  • Mathematics - Knowledge of arithmetic, algebra, geometry, calculus, statistics, and their applications.
  • English Language - Knowledge of the structure and content of the English language including the meaning and spelling of words, rules of composition, and grammar.
  • Telecommunications - Knowledge of transmission, broadcasting, switching, control, and operation of telecommunications systems.
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