About the Role

A data scientist will develop machine learning, data
mining, statistical and graph-based algorithms to analyze and make sense of
datasets; prototype or consider several algorithms and decide upon final model
based on suitable performance metrics; build models or develop experiments to
generate data when training or example datasets are unavailable; generate
reports and visualizations that summarize datasets and provide data-driven
insights to customers; partner with subject matter experts to translate manual
data analysis into automated analytics; implement prototype algorithms within
production frameworks for integration into analyst workflows.

Key Responsibilities

• Produce
  data visualizations that provide insight into dataset structure and
  meaning
  
• Work
  with subject matters experts (SMEs) to identify important information in
  raw data and develop scripts that extract this information from a variety
  of data formats (e.g., SQL tables,structured metadata, network logs)
  
• Incorporate
  SME input into feature vectors suitable for analytic development and
  testing
  
• Translate
  customer qualitative analysis process and goals into quantitative
  formulations that are coded into software prototypes
  
• Develop
  and implement statistical, machine learning, and heuristic techniques to
  create descriptive, predictive, and prescriptive analytics
  
• Develop
  statistical tests to make data-driven recommendations and decisions
  
• Develop
  experiments to collect data or models to simulate data when required data
  is unavailable
  
• Develop
  feature vectors for input into machine learning algorithms
  
• Identify
  the most appropriate algorithm for a given dataset and tune input and
  model parameters
  
• Evaluate
  and validate the performance of analytics using standard techniques and
  metrics(e.g. cross validation, ROC curves, confusion matrices)
  
• Oversee
  the development of individual analytic efforts and guide team in analytic
  development process
  
• Guide
  analytic development toward solutions that can scale to large datasets
  
• Partner
  with software engineers and cloud developers to develop production
  analytics
  
• Develop
  and train machine learning systems based on statistical analysis of data
  characteristics to support mission automation
  

Requirements

Qualifications

This position requires in-scope poly, within 7 years.

Bachelor's degree from an accredited college or
university in a quantitative discipline (e.g.,statistics, mathematics,
operations research, engineering or computer science). Five (5) years of
experience analyzing datasets and developing analytics, five (5) years of
experience programming with data analysis software such as R, Python, SAS, or
MATLAB. An additional four (4) years of experience in software development,
cloud development, analyzing datasets,or developing descriptive, predictive,
and prescriptive analytics can be substituted for aBachelor's degree. A PhD
from an accredited college or university in a quantitative discipline can be
substituted for four (4) years of experience.

• Programming
  Languages: Proficiency in programming languages such as Python and R is
  crucial for data manipulation, analysis, and implementing algorithms.
  Python is favored for its simplicity and extensive libraries (likeNumPy
  and pandas), while R is preferred for statistical analysis and data
  visualization.
  
• Statistical
  Analysis: A strong foundation in statistics and probability is necessary
  for analyzing data accurately and making informed decisions. Understanding
  concepts like regression analysis, hypothesis testing, and statistical
  distributions is essential.
  
• Machine
  Learning: Knowledge of machine learning algorithms and frameworks (such as
  TensorFlow and Scikit-Learn) is vital for building predictive models and
  automating decision-making processes.
  
• Data
  Wrangling: The ability to clean and organize complex datasets is critical.
  Data wrangling involves transforming raw data into a usable format, which
  is often time-consuming but necessary for effective analysis.
  
• Database
  Management: Familiarity with SQL and database management systems (like
  PostgreSQL and MongoDB) is essential for extracting and manipulating
  data stored in relational databases.
  
• Data
  Visualization: Skills in data visualization tools (such as Tableau and
  Matplotlib) help communicate findings effectively. Creating charts,
  graphs, and dashboards is crucial for making data understandable to
  stakeholders.
  

Salary Range 200-215,000

salary range provided is a general guideline. ISSI considers
several factors when determining compensation, including the role’s
responsibilities, candidate experience, education, skills, and current market
conditions.

Benefits

What We Offer

ISSI provides a highly competitive benefits package,
including:

• 401(k)
  with matching contributions
  
• Health,
  Dental, and Vision coverage
  
• Prescription
  drug plans
  
• Employer-funded
  Health Savings Account (HSA)
  
• Mental
  health resources
  
• Life
  and AD&D insurance
  
• Short-Term
  and Long-Term Disability coverage
  
• Business
  travel and expense reimbursement
  
• Employee
  referral program with cash bonuses
  
• Employee
  recognition program
  
• Tuition
  and training reimbursement
  

Who Is ISSI?

ISSI is a growing management and technology consulting firm
specializing in systems and software solutions. Our team is dedicated to
delivering exceptional results for both our clients and employees.

Since our inception, we have focused on developing
innovative solutions that help organizations achieve their goals. We pride
ourselves on collaboration, technical excellence, and staying at the forefront
of emerging technologies.

Equal Opportunity Employer

ISSI is proud to be an Equal Opportunity Employer. All
employment decisions—including hiring, promotion, discipline, and
termination—are based on merit and business needs. We do not discriminate on
the basis of race, color, religion, age, genetic information, or any other
protected status under federal, state, or local law.