Senior Manager Data Science CoE @ Axtria - Ingenious Insights | Jobright.ai
JOBSarrow
RecommendedLiked
0
Applied
0
Senior Manager Data Science CoE jobs in Berkeley Heights, NJH1B Visa Sponsored Senior Manager Data Science CoE jobs in Berkeley Heights, NJ
84 applicants
company-logo

Axtria - Ingenious Insights · 1 week ago

Senior Manager Data Science CoE

Wonder how qualified you are to the job?

ftfMaximize your interview chances
AnalyticsBig Data
check
H1B Sponsorship

Insider Connection @Axtria - Ingenious Insights

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Collaborate with internal and client stakeholders to understand business objectives and requirements for AI, GenAI and data science projects.
Design and develop solutions using AI and GenAI to predict, analyze and summarize key business metrics and trends, optimize customer experience, and improve business outcomes.
Conduct exploratory data analysis to identify patterns, trends, and relationships in the data.
Select and apply appropriate modeling techniques, such as regression, clustering, bagging, boosting, neural networks, and deep learning algorithms.
Design and develop GenAI applications using large language models, vector databases and prompt engineering.
Use MLOps and LLMOps frameworks to implement AI and GenAI models in production environments e.g. in AWS or Azure.
Coach team members to clean, preprocess, and transform large datasets to prepare them for model development.
Coach data science teams on evaluating and selecting appropriate modeling methodologies to optimize performance and adoption.
Validate and refine models using various evaluation techniques, including cross-validation, hypothesis testing, and performance metrics.
Interpret model results and present findings to technical and non-technical stakeholders in a clear and concise manner.
Collaborate with data engineers to ensure seamless integration of models into production systems.
Stay up to date with industry trends and advancements in AI/GenAI and data science methods.
Flexibility to travel and/or relocate within the US as per project requirements.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Statistical AnalysisModeling TechniquesPythonNumPyPandasSklearnSeabornPyCaretMatplotlibDatabase SystemsSQLMachine LearningDeep LearningText MiningNLPProblem-SolvingAnalytical SkillsCommunicationCollaborationPredictive ModelingMLOpsCloud Environments AWSCloud Environments AzurePharmaceutical IndustryLife Science IndustryBig Data Technologies HadoopBig Data Technologies SparkBig Data Technologies DatabricksBig Data Technologies SnowflakeCollaboration Tools GIT

Required

8+ years of professional industry experience
Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Mathematics, Data Science, or a related discipline
Strong proficiency in statistical analysis and modeling techniques, such as linear regression, logistic regression, decision trees, random forests, clustering, deep learning algorithms, boosting, text mining and NLP
Proficiency in programming languages such as Python and in Python packages such as NumPy, Pandas, Sklearn, Seaborn, PyCaret, Matplotlib
Solid understanding and experience with database systems and SQL for data retrieval and manipulation
Strong problem-solving and analytical skills, with the ability to translate business requirements into actionable models
Excellent communication and collaboration skills to work effectively with cross-functional teams

Preferred

Master’s or advanced degree in a quantitative field highly preferred
Proven experience in developing and implementing predictive models (MLOps) in cloud environments such as AWS and Azure is highly preferred
Familiarity or work experience in the Pharmaceutical or Life Science industry is highly preferred
Experience with big data technologies (e.g., Hadoop, Spark, Databricks, Snowflake) and cloud platforms (e.g., AWS, Azure)
Experience of working in large teams and using collaboration tools like GIT, Jira, and Confluence
Experience in leveraging Patient data/ Claims data/ Patient Analytics
Experience as a hands-on contributor to client work, including ability to run a presentation or own a portion of client facing work
Adaptable and agile skills while working in a fast-paced environment
Ability to conceptualize, negotiate and sell ideas internally and externally

Benefits

Health insurance
Flexible spending accounts
401k with company match

Company

Axtria - Ingenious Insights

company-logo
Axtria is a global provider of award-winning cloud software and data analytics to the Life Sciences industry.

H1B Sponsorship

Axtria - Ingenious Insights has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (136)
2022 (174)
2021 (146)
2020 (136)

Funding

Current Stage
Growth Stage
Total Funding
$206.24M
Key Investors
Bain Capital Tech OpportunitiesHelion Venture Partners
2021-05-13Series Unknown· $150M
2018-12-11Series Unknown· $11.5M
2015-07-07Series C· $30M

Leadership Team

leader-logo
Jaswinder Chadha
President & CEO
linkedin
leader-logo
Navdeep Chadha
Co-Founder
linkedin
Company data provided by crunchbase
logo

Orion

Your AI Copilot