Sr. Data Scientist

Job#: 2041027

Job Description:

• Analyze large and complex datasets to uncover patterns, trends, and insights that can improve business performance and decision-making.
• Develop predictive models, machine learning algorithms, and statistical models to solve complex business challenges.
• Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions.
• Design and execute experiments to test hypotheses and validate models.
• Apply advanced statistical techniques and data mining algorithms to extract actionable insights from structured and unstructured data.
• Build and maintain scalable data pipelines and data processing systems.
• Communicate findings and recommendations to stakeholders, including non-technical audience, through visualizations, reports, and presentations.
• Stay updated on advancements in data science, machine learning, and analytics.
• Strong focus on delivery and Agile methodologies, leading projects from conception to implementation.
• Collaborate with the Enterprise Analytics team to integrate new practices and technologies.

• Typically requires 7+ years of hands-on work experience developing and applying advanced analytics solutions in a corporate
• Critical Skills
• Hands-on experience building and delivering Enterprise Data Solutions
• Extensive professional experience with Big Data systems, data pipelines and data processing
• Familiarity with data privacy standards, methodologies, and best practices
• Practical hands-on experience with data technologies and Cloud Platform like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP and Azure.
• Hands on experience working on analytical platforms like SAS, R, Python, Azure ML
• Expertise in Unix Shell scripting and Dependency driven job schedulers.
• Expertise in Data visualization tools such as Power BI, Tableau and Looker is a plus
• Ability to understand API Specs, identify relevant API calls, extract data and implement data pipelines & SQL friendly data structures.

• Excellent communication and interpersonal skills, with the ability to engage and influence with technical teams, business leaders, and external partners.
• Strategic thinker with a strong analytical mindset and problem-solving abilities.
• Proven track record as a Data Scientist, delivering data-driven solutions to complex business challenges.
• Demonstrated expertise in building and deploying AI/Machine Learning solutions at scale.
• Proficient in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
• Strong knowledge of statistical techniques, machine learning algorithms, and data mining techniques.
• Proficient in many of the following applied analytical techniques - clustering, regression analysis, time series analysis, NLP, neural networks, KNN, association rules, decision trees, logistic regression or similar.
• Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment
• Experience with data in the drug supply chain and commercial domain within healthcare, pharma is a plus
• Highly influential and ability to educate stakeholders on the role of data and its purpose in the business
• Teams up and collaborates for speed, agility, delivery excellence and innovation
• Strong negotiation and decision-making skills

EEO Employer

Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178.